Digital Disruption with Geoff Nielson

Why have the United States and China pulled so far ahead in the global technology race? Mehran Gul, author of The New Geography of Innovation, argues that the answer goes far beyond individual companies or breakthrough technologies.In this episode, we sit down with Mehran to discuss how successful innovation ecosystems are actually built, why Silicon Valley remains so difficult to replicate, and how China rapidly emerged as a global technology superpower. We also talk about why Europe and India have struggled to produce technology giants at the same scale, and how talent, capital, universities, government, and entrepreneurship shape long-term competitiveness.Mehran also breaks down the extraordinary concentration of money flowing into AI companies like OpenAI, Anthropic, and Nvidia, whether today’s AI valuations are sustainable, and why a major market correction could still happen without ending America’s technological dominance. From AI investment and venture capital to Silicon Valley, China, Europe, India, and the future of global innovation, this episode looks beyond the AI hype to ask a much bigger question: who will actually shape the next era of technology? Subscribe and follow for more conversations with the world’s leading thinkers on AI, technology, innovation, and digital transformation.In this episode:00:00 The AI bubble and America’s technology lead01:47 The new geography of innovation05:30 How China became a technology superpower09:13 Can other countries replicate China’s success?13:17 What does “innovation” actually mean?16:21 Are tech valuations measuring real innovation?21:03 Does geography determine who wins in technology?25:01 Will the U.S. and China dominate the next decade?29:31 Why Europe’s push for tech sovereignty is struggling33:05 Can government policy actually create innovation?37:24 PayPal vs. Skype: How innovation creates more innovation39:47 Is America’s technology dominance a zero-sum game?43:52 Who is the world’s third-largest technology power?45:07 Why “indispensability” may matter more than tech sovereignty47:00 What This global tech race means for business leaders48:32 Why AI investment is becoming more concentrated51:29 Are we betting too much on a few tech leaders?53:35 What Japan’s collapse can teach us about U.S. tech56:13 Could the AI bubble actually burst?59:22 Could China overtake the U.S. in Technology?1:03:29 When government helps and hurts innovation1:05:51 Predictions for the next era of global technology1:07:50 Do We need to redefine innovation?1:10:02 Where business leaders should look for innovation1:14:02 Why venture capital isn’t actually global1:18:00 Final thoughts 1:19:41 About Info-Tech Research GroupConnect with Mehran:LinkedIn: https://www.linkedin.com/in/mehrangul?originalSubdomain=chX: https://x.com/mehrangul_Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Are we in an AI bubble? Veteran Silicon Valley investor Bill Reichert says yes, but that doesn’t mean the AI revolution is slowing down. In this episode we sit down with Bill Reichert, General Partner at Pegasus Ventures, to discuss the unprecedented investment pouring into AI, why many AI startups will fail, and where the next wave of innovation could emerge. This conversation highlights everything from data centers and quantum computing to China’s growing technology ecosystem and what businesses need to do to innovate and compete. Bill also shares his “Yellow Jacket Paradox,” raising a bigger question about the future of AI: If biological intelligence can accomplish so much with so little energy, could a fundamentally new AI architecture eventually disrupt today’s LLMs, data centers, and AI leaders? Subscribe and follow for more conversations with the world’s leading thinkers on AI, technology, innovation, and digital transformation.In this episode:00:00 The AI bubble is here01:02 Why this tech cycle is different03:30 Is AI growth sustainable?04:18 Why most AI startups will fail06:11 What separates AI winners from the hype09:08 The “unfair advantage” in AI10:59 Where is the next big AI opportunity?13:16 Investing beyond generative AI18:13 Why AI is becoming a commodity19:05 The data center and energy opportunity20:17 How AI is transforming every industry22:23 Is AI changing venture capital?26:13 Does more investment create better technology?29:01 China, the US, and the global innovation race34:28 The race for quantum computing36:51 Is China really just copying the west?40:06 Why big companies struggle to innovate45:54 Startups as corporate innovation labs47:29 How to spot an overhyped tech vendor49:13 Why companies need to test before they invest51:04 Why innovation pilots fail52:49 Escaping “pilot hell”54:54 Will the pace of innovation ever slow down?57:30 How AI changes the future of work59:48 Does AI mean we’ll have to work harder?01:03:06 The leadership mistake that causes burnout01:06:08 Control vs. unlimited growth01:07:12 The “Yellow Jacket Paradox”01:09:29 Why today’s AI architecture may be wrong01:11:13 Will today’s data centers become obsolete?01:13:38 The price of innovation01:14:08 Closing thoughtsConnect with Bill:LinkedIn: https://www.linkedin.com/in/billreichert/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Hany Farid, one of the world’s leading experts on deepfakes and digital forensics, joins us to explain why AI-generated content is pushing us toward a world where we can no longer trust what we see, hear, or even who we’re talking to online. From AI-generated misinformation and social media manipulation to voice cloning, deepfake video calls, and North Korean IT workers infiltrating major companies, Hany breaks down how rapidly the threat landscape is evolving. He explains why humans are not good at detecting deepfakes, how digital forensics experts actually identify manipulated media, and why organizations need to rethink cybersecurity, remote hiring, and digital identity. This episode also dives into Big Tech’s role in the crisis, whether regulation and liability can make technology safer, the growing influence of large language models on how we access information, and what it will take to rebuild trust online. Despite the risks, Hany remains optimistic about AI’s potential. The challenge, he argues, is learning from the mistakes of the social media era and finding a way to harness AI’s power without sacrificing safety, security, and trust. Subscribe and like this video for more conversations with the world's leading thinkers on AI, technology, innovation, and digital transformation.In this video:00:00 North Korean IT workers are already inside companies00:41 Welcome to a “trust no one” digital world01:49 How much of the internet is already fake?04:59 Are we heading toward the dead internet?07:06 What happens when we can’t agree on facts?08:20 The existential threat of a post-truth world09:49 Could AI control the information we see?11:33 Who is manipulating us online?13:20 How AI is supercharging scams and fraud15:41 Why you can’t reliably detect a Deepfake17:28 Should Big Tech be held liable?19:37 Hany’s Advice: Get social media off your phone21:26 Can liability force Big Tech to change?24:25 Should kids be banned from social media?25:37 The real problem with social media’s business model28:08 Will Big Tech control the future of AI?31:20 “China will beat us” and the case against AI regulation33:31 How experts actually detect deepfakes36:16 How real-time face swap deepfakes work39:39 The Deepfake threat facing businesses40:25 AI fraud is already costing companies millions41:47 How fake workers get hired42:49 Why voice biometrics are no longer secure#ai #futureofwork #technologypodcast #cybersecurity #deepfakes #digitaltrust #bigtech #aivoice #digitaltransformation #futureofjobs #futureofai #tedtalkConnect with Hany:LinkedIn: https://www.linkedin.com/in/hany-farid-40a97935/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Claire Stapleton spent 12 years at Google, going from one of the company's biggest believers to one of its most prominent employee organizers. In this episode, former Google communications leader, Google Walkout organizer, and Don’t Be Evil author Claire Stapleton reveals what happened inside Google as its celebrated culture of openness, employee empowerment, and idealism began to change. She takes us inside Google’s transformation from a company that believed people were at the heart of its success to a Big Tech giant grappling with bureaucracy, employee distrust, workplace activism, and questions about its values. She explains what led thousands of Google employees to walk out in protest, what happened after employees challenged leadership, and why speaking up inside powerful organizations can come with serious consequences. We also talk about AI and the future of work, tech layoffs, corporate culture, employee activism, leadership, workplace ethics, the changing relationship between employers and employees, and why the sweeping promises coming from today’s AI companies remind Stapleton of Google’s early years. As companies once again compete for elite technology talent while promising to change the world, could Silicon Valley be repeating the same cycle? Subscribe and like this video for more conversations with the world's leading thinkers on AI, technology, innovation, leadership, and digital transformation.In this video:00:00 Intro00:10 How Google’s culture changed01:33 Claire Stapleton’s 12 years at Google06:14 Inside Google’s early “change the world” culture10:50 Shift in language 11:28 What happened to Google?18:42 The events that led to the Google Walkout25:31 Organizing the historic Google Walkout28:59 How Google responded to employee activism35:16 Would Claire organize the Walkout again?39:19 The danger of tying your identity to your employer44:29 What should you do when your employer violates your values?50:35 Did Silicon Valley lose its people-first culture?51:38 Are today’s AI companies repeating Google’s mistakes?55:03 Why being people-first is good for business56:05 What Google’s leadership got wrong01:00:09 Why women led the resistance inside Google01:01:48 The role of men and allies in workplace activism01:05:58 Why women take on more unpaid work01:08:19 How leaders can build a better workplace culture01:11:23 Closing thoughts#futurofwork #google #workplaceculture #leadership #bigtech #aiandjobs #siliconvalley #techleadership #techlayoffs #techpodcast Connect with Claire:LinkedIn: https://www.linkedin.com/in/claire-stapleton-868a935X: https://x.com/clairewavesFacebook: https://www.instagram.com/clairewaves/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Data center economics are coming under increasing scrutiny. Learn why power constraints could signal a major market correction and why the future of artificial intelligence may depend less on software and more on power grids, data centers, semiconductor chips, and the physical infrastructure powering AI. In this episode, TDK Ventures Investment Director Ankur Saxena joins Geoff Nielson to talk about the economics driving today's AI race. From Nvidia GPUs and hyperscaler spending to semiconductor shortages, AI infrastructure, robotics, edge AI, and quantum computing, Ankur explains why the biggest challenges facing AI aren't just technical, they're economic, physical, and increasingly difficult to ignore. This conversation examines whether today's AI investment boom is sustainable, what could trigger the next wave of market corrections, and where the greatest opportunities lie for investors, startups, and technology leaders. If you're wondering where AI is really headed and what it means for business leaders, investors, CIOs, and the future of technology, this episode is for you.In this episode:00:00 Intro00:20 AI's biggest problem isn't software, it's infrastructure01:37 Ankur Saxena on the future of AI & why he's optimistic03:20 Is the AI investment boom becoming a bubble?07:40 AI prototyping for enterprise leaders08:50 The AI Gold Rush: Are investors chasing hype?10:17 Why AI infrastructure economics matter more than ever12:09 The hidden bottleneck: Power, data centers & AI growth15:45 AI data centers explained19:53 Supply, demand & what happens when AI gets expensive21:03 Why AI demand isn't slowing down anytime soon26:33 Should every enterprise care about AI infrastructure?27:15 Why most companies aren't ready for AI compute32:08 The next billion-dollar opportunity: AI infrastructure orchestration34:22 Where smart investors are looking beyond AI applications37:35 Edge AI explained: Why AI is moving onto devices40:43 Why AI chips need hardware & software co-design44:18 The race to build the operating system for Edge AI48:33 Self-driving cars, robots & the future of physical AI52:08 Quantum computing: Beyond the hype55:25 Quantum computing investment opportunities & "picks and shovels"58:44 Practical AI advice for CIOs, business leaders & enterprises1:02:02 Will AI replace humans? The future of human-AI collaboration1:04:42 Final thoughts Connect with Ankur:LinkedIn: https://www.linkedin.com/in/saxenaankur/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Robin Hanson believes the future of AI is far stranger than most people imagine.In this episode, economist, futurist, and The Age of Em author Robin Hanson explains one of the biggest questions humanity has faced: What happens after humans?Instead of viewing AI as humanity's greatest threat, Hanson argues we should think of AI as our descendants. The conversation looks at why AI replacing humans may be part of civilization's natural evolution, why capitalism and competition aren't disappearing, and how cultural evolution, not technology, may be humanity's biggest existential challenge.We also examine the Great Filter, the future of work, AI regulation, software engineering, technological progress, fertility decline, civilization collapse, AI governance, and why Robin believes our greatest risk isn't AI taking over, but humanity losing its ability to evolve culturally. If you're interested in the future of AI, artificial intelligence, AGI, economics, civilization, technology, and what comes after humanity, this conversation will challenge many of your assumptions. Subscribe and like this video for more conversations with the world's leading thinkers on AI, technology, innovation, and digital transformation.In this episode:00:00 Intro01:00 AI will eventually replace humanity01:36 Robin Hanson’s background02:20 The future of civilization03:22 The Age of Em explained06:03 Why brain emulation changes everything07:24 Capitalism isn't going away11:18 Is humanity actually progressing?13:10 The Great Filter explained18:17 Why AI isn't the Great Filter22:02 AI, technological acceleration & the next 20 years24:24 Will AI leave people behind?29:04 How to survive technological disruption33:08 Why AI is humanity's descendants40:23 Cultural evolution is breaking47:12 Why civilization is becoming maladaptive55:06 Is modern society quietly declining?01:00:45 Can AI solve civilization's biggest problem?01:07:01 AI risk vs AI progress01:12:00 Should AI be regulated?01:17:03 The US, China & the AI race01:22:26 AI's economic impact01:25:19 Advice for business leaders01:30:45 AI's biggest opportunity for humanity01:38:48 What gives Robin Hanson hope01:42:24 Final thoughtsConnect with Robin:X: https://x.com/robinhansonFacebook: https://www.facebook.com/robin.hanson.754/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Is AI actually making work better? Discover why many employees are feeling more constrained by machines instead of being empowered by them. In this episode, Financial Times journalist and author Sarah O'Connor joins Geoff Nielson to talk about the reality of AI in the workplace, challenging the common belief that automation will free us from repetitive work. Drawing from her new book, “We Are Not Machines,” and months of reporting inside Amazon warehouses, Swedish mines, hospitals, translation agencies, and software teams, Sarah explains how AI isn't just eliminating jobs, it is reshaping them in ways that can either empower people or reduce them to "human robots." The conversation breaks down why the promise of AI creating more time for creative, meaningful work hasn't become reality for many employees. Instead, many workers feel like they're being managed by software, algorithms, and increasingly automated systems. If you're wondering how AI will transform your career, your organization, or the future of work, this episode is for you.In this episode:00:00 Intro01:17 The surprising truth about AI and work02:31 Why AI predictions are missing the real story06:10 What Sarah discovered on the front lines of automation07:54 Inside Amazon's robot-powered warehouses13:25 How AI transformed professional translators18:07 About Info-Tech Research Group19:06 Is AI making work less human?19:56 Why software developers are thriving with AI23:46 The Swedish mine where automation actually works31:10 Who should decide how AI changes work?34:23 AI surveillance, trust, and workplace governance37:56 Why companies shouldn't blindly adopt AI39:06 Healthcare, nursing, and the cost of over-optimization46:30 Can healthcare become human again?49:56 Productivity, burnout, and becoming like machines53:18 Have we lost faith in ourselves?59:26 AI hype, fear of missing out, and smarter adoption01:03:45 What gives Sarah hope about the future of work?01:08:07 Advice for business and technology leaders01:11:00 Final thoughts01:11:47 ClosingConnect with Sarah:LinkedIn: https://www.linkedin.com/in/sarah-o-connor-86067a31/X: https://x.com/sarahoconnor_Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Government AI projects are often criticized for moving slowly, but Alberta is proving otherwise.In this episode, we sit down with Janak Alford, Deputy Minister of Technology and Innovation for the Government of Alberta, to understand how Alberta is using AI to save $2 million every week while accelerating digital service delivery, improving compliance, and raising software quality standards.Janak shares why governments and enterprises should stop waiting for the "perfect" AI solution and start building internal AI capabilities. From AI factories and builder culture to open-source tools, sovereign AI, cybersecurity, and AI-powered software development, this conversation offers a practical blueprint for organizations looking to modernize with AI and deliver measurable results.If you're tired of AI hype and want to see what real implementation looks like, don't miss this one.Follow and like this video for weekly conversations on AI, technology, digital transformation, and the future of work and technology.In this episode:00:00 Intro01:08 Alberta's mission to transform government with AI04:28 Why every government faces the same AI challenge07:53 About Info-Tech08:33 The vision for AI-driven government10:33 AI Academy: Training 30,000 public servants12:12 Building thousands of AI applications15:25 The future of AI agents in government services17:03 Beyond AI tools: Building an AI strategy18:07 AI factories, compliance & software development23:53 Overcoming bureaucracy with builder culture30:35 Saving $2 million every week with AI32:19 The velocity papers explained37:02 AI factory, AI garage & government modernization42:25 Open-Source AI tools changing government48:18 Where organizations should start with AI54:34 The biggest AI myths leaders believe55:16 Why Copilot isn't your AI strategy57:44 Why subject matter experts drive AI success01:02:19 Making AI safe without slowing innovation01:08:28 Sovereign AI and Canada's AI future01:15:08 Building Canada's AI ecosystem01:16:20 Final thoughtsConnect with Janak:LinkedIn: https://www.linkedin.com/in/janak-alford/X: https://x.com/JanakAlfordOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Is vibe coding the future of software development? Or is it just another AI buzzword?In this episode, Geoff Nielson sits down with Laurence Moroney, former Head of AI Advocacy at Google and now Director of AI at Arm, to separate AI hype from reality and discuss what software development actually looks like in the age of generative AI.This conversation takes a look at the future of coding, the rise of AI-generated code, and why claims that software developers are becoming obsolete miss the bigger picture. From vibe coding and enterprise AI to agentic AI and the evolving role of engineers, this Laurence and Geoff look at how AI is reshaping software development, and why the best developers will become even more valuable by moving up the value chain.Subscribe for weekly conversations on the future of technology, artificial intelligence, and innovation. Comment below: Do you think vibe coding has a place in your professional workflow?In this episode:00:00 Intro01:16 Has the AI bubble burst?04:44 AI hype vs. real business value09:21 Why AI should become invisible12:30 The biggest AI myths leaders still believe16:15 Will AI replace software developers?19:28 Why developers are moving up the value chain20:54 The rise of "ephemeral" software26:34 Enterprise use cases for disposable code29:02 Is vibe coding ready for the enterprise?32:10 Small AI models vs. large language models35:46 Fine-tuning AI for enterprise success38:17 Why companies still need engineers41:57 The future role of developers, CIOs & CTOs45:09 How developers can future-proof their careers47:09 Should students still study computer science?49:09 Does AI create 100x developers?51:20 What is Agentic AI?57:06 Building enterprise AI the right way1:02:11 AI hardware and Arm's vision1:05:18 Advice for technology leaders1:07:05 The future of Sovereign AI1:14:30 Final thoughtsConnect with Laurence:LinkedIn: https://www.linkedin.com/in/laurence-moroney/X: https://x.com/lmoroneyFacebook: https://www.facebook.com/laurence.moroneyOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

This is THE AI debate you've been waiting for.Will AI become as transformational as the internet, or will history remember it more like blockchain and the metaverse?In this episode of Digital Disruption, Info-Tech's Geoff Nielson and Jeremy Roberts go head-to-head over one of the biggest technology questions of our time: Is AI overhyped?The debate looks at whether generative AI is delivering measurable business value or whether the excitement surrounding OpenAI, Microsoft Copilot, Google, Nvidia, and today's AI investments has outpaced reality. From enterprise productivity and healthcare innovation to AI adoption, venture capital, cloud computing, autonomous vehicles, and the future of work, both sides present compelling evidence at the Info-Tech LIVE Conference in Las Vegas.You'll hear why the profitability of today's AI industry is being questioned, how massive capital investments are shaping the race among AI leaders, and what these financial realities could mean for the future of artificial intelligence. Whether you're an IT leader, business executive, or AI enthusiast, this debate offers practical insights into where AI is delivering real value, and where expectations may be running ahead of reality.Which side of the debate are you on?Like and follow for weekly episodes.In this episode:00:00 Is AI Overhyped? 00:52 The case against AI being overhyped03:31 How AI is already transforming business04:18 AI's impact on healthcare, science & society05:20 AI is overhyped06:40 Why many people still don't like AI07:18 Is the AI business model sustainable?08:45 Does AI actually save time?09:23 AI and the future of jobs10:17 The human cost of AI12:04 AI adoption vs. AI skepticism13:52 Is AI following the same path as cloud computing?15:05 Are AI companies creating another tech bubble?16:50 Technology vs. company valuations18:02 AI search, Google & the future of the internet19:31 Is AI becoming the next Blockchain?20:24 Is AI's transformation inevitable?21:29 Healthcare, Watson & enterprise AI23:34 Microsoft Copilot, enterprise adoption & ROI24:18 The future of AI in business25:12 Audience votes on winner26:04 Final thoughts on if AI really is overhyped.Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Stop fearing the future of work. Learn why our current infrastructure is failing and how to adapt your mindset for the age of artificial intelligence and technology. AI isn't taking your job; it's forcing humanity to rethink what work, identity, and purpose actually mean.In this conversation, Geoff Nielson sits down with innovation strategist, futurist, and author Alexander Manu to discuss why so many professionals fear a loss of income. The core issue, he argues, is not technology itself but our tendency to apply old systems to new realities. Instead of viewing artificial intelligence as a threat, Alexander explains that AI represents the next stage of human evolution, one where technology frees us from repetitive work and allows us to focus on creativity, learning, and what makes us uniquely human.The conversation also explores disruption, digital transformation, Maslow's concept of self-transcendence, the future of work, education, leadership, and what it truly means to live in an AI-first world.Whether you're a CIO, technology leader, business executive, innovator, or simply curious about where artificial intelligence is taking society, this episode offers one of the most optimistic, and challenging, perspectives you'll hear on the future of AI.Like and follow for weekly episodes. In this episode:00:00 Intro00:46 Why everyone is afraid of AI01:01 Why Alexander isn't afraid of artificial intelligence03:02 AI, work & the future of human purpose05:24 Will AI make society happier?06:32 Why AI is different from every technology before it08:07 AI as a creative partner instead of a tool10:17 The real fear behind AI: Money & identity12:48 How do we reach an AI future?14:03 Why we need to redesign everything from scratch16:12 AI, identity & Maslow's self-transcendence19:07 Using AI to unlock human creativity20:33 Lessons from building one of the first portable computers22:34 Technology, identity & human evolution24:24 How every technology becomes normal27:07 AI learns you as you learn it28:57 Why technology exists to eliminate friction30:19 Why society needs to embrace AI earlier31:44 Understanding the disruption continuum34:10 Why disruption never ends39:45 Are we living through an AI bridge moment?42:06 Why most companies get AI completely wrong46:31 Stop fitting AI into old systems51:30 The biggest AI lessons for business leaders53:12 The question every organization should ask56:09 Leadership, AI & the future of organizations59:18 Why AI is not optional1:00:52 AI's true promise isn't speed1:05:36 AI, contemplation & finding meaning1:06:36 Social media, creativity & human attention1:11:48 Final thoughtsConnect with Alexander:LinkedIn: https://www.linkedin.com/in/alexander-manu-458b7b3/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

AI is moving faster than most organizations can keep up with, but according to Siri co-creator Dag Kittlaus , the biggest challenge isn't the technology itself. It's adoption.In this episode, Dag shares his insights on how artificial intelligence will reshape your career, your business, and the future of work.Drawing on his experience building Siri and investing in the next generation of AI startups, Dag explains why widespread AI-driven job loss is unlikely in the near term and how business leaders can successfully integrate AI into their organizations. He explores the important differences between AI capability and AI diffusion, arguing that this distinction will shape the next decade of innovation, productivity, and economic growth.The conversation covers AI productivity gains, enterprise AI adoption, AI-first startups, Apple's AI future, personalized virtual assistants, healthcare innovation, data centers, AI infrastructure, and the emerging opportunities that business and technology leaders can't afford to ignore.Whether you're a CIO, business leader, entrepreneur, or technology professional, this episode offers practical insights into how artificial intelligence is transforming industries and why understanding AI today may be one of the most important investments you can make in your future.Like and follow for weekly episodes.In this episode:00:00 Intro00:53 Co-creator of Siri01:15 AI's promise vs. AI's peril02:28 Capability vs. diffusion: The real AI challenge03:15 Why AI still can't replace entire jobs04:31 Will AI cause massive white-collar job loss?07:14 Why laying off employees for AI is a mistake08:14 How businesses should actually adopt AI10:30 How Dag personally uses AI today12:41 AI investment trends and opportunities13:27 What's next for AI infrastructure and data centers?15:27 Hidden AI opportunities most investors miss16:41 Winners and losers in the AI economy17:56 How leaders should prepare their organizations21:32 AI-first startups vs. large enterprises23:11 Should established companies fear AI-native competitors?24:00 Ignore AI and you're in trouble25:21 The 10-year AI adoption timeline26:22 Is AI ready or does it need more breakthroughs?28:00 The original vision for Siri29:30 AI agents, APIs, and autonomous assistants31:32 Why apple lost ground in AI34:53 Dag's vision for the future of Siri35:29 The 'Conductor Thesis' for personal AI38:30 Why personalization Is AI's missing link39:07 Consumer backlash against AI40:20 Why AI job loss fears are overblown41:15 AI, productivity growth, and the four-day workweek43:51 How to change public perception of AI47:05 Convincing employees to embrace AI47:50 Why incentives matter more than mandates50:05 Practical advice for business leaders53:03 The biggest AI trend nobody understands53:38 How AI will transform healthcare56:11 AI regulation and innovation challenges58:23 Why Dag is optimistic about AI's future59:15 Final thoughts#ai #futureofwork #leadership #siri #apple #futureofai #technologypodcast #digitaltransformation #innovation #entrepreneurship #futureofjobs #stevejobs #dagkittlausConnect with Dag:LinkedIn: https://www.linkedin.com/in/dagkittlaus/X: https://x.com/dagkOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What if AI isn't the biggest disruption we're facing? What if the real problem is that we're trying to force 24th-century technology into an economy designed for another era? In this episode, AI and transformation leader, Michael Clark explains why AI is exposing fundamental flaws in education, business, leadership, and the global economy, and what we need to do next.Michael argues that we're trying to fit next-generation AI into systems designed for the industrial age. The conversation explores how organizations can move beyond automation and embrace collaborative intelligence, where humans and AI work together to create value. They discuss the future of work, data as an asset, workforce transformation, AI adoption, leadership in the intelligence economy, and why critical thinking, judgment, and adaptability will become the most valuable skills in the AI era.Like and follow for weekly episodes.In this episode:00:00 Intro 01:23 Two possible futures for 203004:05 Why education must be rebuilt for the AI era07:12 Teaching critical thinking, data literacy & adaptability10:40 How work changes in the age of AI13:22 Why people should be treated as assets, not costs16:16 The economic model that no longer works20:24 Rethinking value, GDP, and the future economy24:23 Can we actually value people and data?27:29 Why governments need an AI consortium28:54 AI, data ownership & wealth distribution33:05 Should AI and cloud computing be treated as utilities?35:45 Why most organizations mismanage data37:05 Treating data as a business asset42:53 Why AI can't fix bad data47:27 What data-mature organizations do differently48:05 Schneider electric's data monetization strategy50:24 John Deere's AI and data advantage51:21 The ethics of data monetization55:28 Workforce transformation and leadership in the AI era58:29 Why leaders struggle with long-term thinking01:00:00 Leadership, risk, and better decision making01:03:48 Rethinking leadership for the Intelligence Economy01:06:19 Human wisdom vs machine knowledge01:09:23 Final advice for leaders adopting AI01:12:14 Final thoughtsConnect with Michael:LinkedIn: https://www.linkedin.com/in/mclarkglobal/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Artificial intelligence is reshaping work, creativity, business, and society faster than ever before, but how worried should we really be?In this episode, we sit down with The AI Doc producers Charlie Tyrell and Ted Tremper to discuss the biggest lessons they learned after spending years investigating AI and interviewing leading experts, including Sam Altman, Dario Amodei, Karen Hao, and many of the influential voices shaping the future of artificial intelligence.The conversation goes far beyond the typical AI debate, exploring AI ethics, generative AI, creative industries, wealth inequality, AI regulation, AGI, automation, AI governance, and the growing question of whether artificial intelligence is an inevitable force—or a technology that society can still shape. Charlie and Ted discuss the risks of concentrated power, the impact of AI on artists and filmmakers, ethical AI development, transparency, consent, and what individuals can do to influence the future of technology.AI is changing everything. The way we work, the way we create, the way we build businesses, and potentially the future of society itself. But beneath the headlines, hype, and fear, what’s actually true? If you're interested in artificial intelligence, technology, leadership, innovation, creativity, or the future of humanity, this is a conversation you won't want to miss.Like and follow for weekly episodes.In this episode:00:00 Intro01:25 Why Charlie Tyrell & Ted Tremper made the film02:20 The origins of The AI Doc04:45 AI anxiety, parenthood & the future06:57 Wealth inequality and AI concentration08:17 Reasons for hope and concern11:01 How individuals can shape AI's future11:49 Why education creates agency13:02 AI's impact on artists and creators15:12 Did The AI Doc use AI?16:56 Human creativity vs AI-generated content18:14 The filmmaking industry's AI debate19:20 Generative AI and storytelling21:23 Audience demand and the future of human-made art23:13 Technology's impact on creativity throughout history24:50 Ethical AI, consent & compensation27:02 Can AI ever be ethical?28:12 Policy, regulation & AI accountability30:59 The AI arms race explained32:14 AI competition, China & global innovation34:07 AI narratives we should question35:00 The Myth of AI Inevitability37:08 Democratizing AI and power structures38:11 What AI advocates get wrong40:40 Radical imagination & AI governance42:45 What gives Charlie and Ted Hope?46:22 Raising children in an AI world51:56 Technology, optimism & intellectual humility55:00 The most influential voices in AI57:39 Karen Hao, Deborah Raji & human-centered AI1:00:08 Responsible AI use for business leaders1:02:13 Fighting over-optimization and AI dependence1:04:19 The hidden risks of AI services1:07:12 Final Thoughts Connect with The AI Doc:X: https://x.com/theaidocfilmInstagram: https://www.instagram.com/theaidocfilm/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Artificial Intelligence is changing faster than most people realize, but are we asking the wrong questions about AI, AGI, consciousness, and the future of society? In this episode, cognitive scientist and AI researcher Joscha Bach joins us for a thought-provoking conversation on artificial intelligence, machine consciousness, large language models (LLMs), AGI, human intelligence, and the future of work. Joscha explains why intelligence is fundamentally about model-building, why consciousness may be a biological training algorithm, and what current AI systems are still missing. The conversation goes far beyond technology, tapping into innovation, capitalism, regulation, scientific progress, institutional trust, democracy, media narratives, AI safety, employment disruption, economic incentives, and the future of human civilization. Joscha shares his perspective on AI doom scenarios, why he believes many fears around artificial intelligence are overstated, and how AI could ultimately empower individuals rather than replace them. This episode offers a different look into artificial intelligence, human progress, and what comes next. Like and follow for weekly episodes.In this episode:00:00 Intro01:04 AI doom scenarios & humanity's future02:00 Defining intelligence & consciousness05:00 Why AI intelligence is different from human intelligence06:52 Are LLMs actually intelligent?08:10 Why AI hallucinates10:09 Human learning vs machine learning11:22 Can transformers lead to agi?12:28 The scaling hypothesis explained13:58 Mechanistic interpretability & neural networks15:13 Can AI surpass human understanding?18:42 AI and the future of scientific discovery20:14 Why scientific progress feels slower today22:03 Institutions, incentives & organizational decline25:05 Trust in government and society28:31 Can AI improve democracy?30:40 Why AI gets such negative media coverage33:03 The AI extinction debate36:30 AI, automation & the future of jobs40:05 Big Tech, AI power & capitalism41:15 Money, markets & resource allocation46:28 Regulation, innovation & economic growth49:13 Why innovation is slowing down51:08 Is Big Tech starving other industries?54:39 Is there an AI bubble?57:30 Could the financial system be rebooted?01:00:17 Cryptocurrency, regulation & economic stability01:08:27 Regulation, governance & innovation01:10:33 Lessons from Berlin's innovation culture01:16:08 AI, surveillance & centralized power01:18:07 Decentralized AI and individual empowerment01:20:05 AI, healthcare & professional expertise01:23:36 Control, society & human responsibility01:25:00 Advice for leaders and innovators01:26:03 Escaping filter bubblesConnect with Joscha Bach:LinkedIn: https://www.linkedin.com/in/joschabachX: https://x.com/PlinzOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Modern work is broken.Endless meetings. Constant notifications. Work invading every corner of life.So, what does the future of work actually look like in the age of AI agents, generative AI, and organizational transformation?Microsoft’s Head of Future of Work & AI, Matthew Loys Duncan, says we’ve reached “human capacity” and that AI may not replace knowledge workers, but instead replace the worst parts of work itself.In this episode, Matthew joins Geoff Nielson to unpack how AI agents, generative AI, and organizational redesign are reshaping white-collar work. He explains why most companies are approaching AI the wrong way, why culture matters more than technology, and how the future of work will be “human-led, agent-operated.”From Microsoft’s Work Trend Index research and AI-native organizations to tacit knowledge, burnout, productivity, and leadership transformation, this conversation explores what happens when businesses stop optimizing old workflows and start redesigning work from the ground up.If you’re trying to understand the real impact AI will have on work, leadership, and business strategy over the next decade, this episode is for you.Like and subscribe for weekly conversations on AI, business, leadership, and the future of work.In this episode:00:00 Intro00:01:15 Will AI replace white-collar jobs?00:02:29 Why AI is a reimagination of work, not doom & gloom00:03:08 Human-led, agent-operated work00:03:37 The broken reality of modern office work00:04:36 Digital overload, meetings & workplace chaos00:06:16 Human agency vs AI agents00:07:33 Using AI to redesign your job00:09:02 Why the best AI users don’t outsource judgment00:09:49 Delegation, intentional AI use & skill preservation00:10:54 AI as a team member, not just a tool00:11:27 The four ways people use generative AI00:14:10 The rise of AI agents in the workplace00:16:16 From personal productivity to organizational transformation00:17:10 Where is the ROI from AI?00:18:02 Why AI adoption alone fails00:20:13 Finding the highest-leverage AI opportunities00:23:27 Re-architecting work in the AI era00:25:27 Should employees build their own AI agents?00:28:39 AI-native organizations vs legacy enterprises00:30:05 AI adoption vs AI absorption00:32:31 Discovering hidden business value through AI00:33:27 How legacy firms can compete with AI-native companies00:35:06 Why AI transformation starts with culture00:36:05 The role of HR, CEOs & leadership in AI strategy00:39:14 Why AI is bigger than a technology initiative00:41:12 The expanding role of the C-Suite in AI transformation00:46:32 Microsoft’s “learn it all” leadership culture00:50:00 Democratizing innovation with AI00:53:23 Tacit knowledge & AI-powered learning00:57:09 Information retrieval, organizational knowledge & AI00:59:37 Capturing institutional intelligence with AI01:00:03 Advice for business & technology leaders01:03:17 Why there is no AI playbook yetConnect with Matthew:LinkedIn: https://www.linkedin.com/in/matthewloysduncan/X: https://x.com/matthewloysOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What if the biggest threat from AI isn’t artificial intelligence… but the economic system controlling it?Author and creator of the Lean Startup methodology, Eric Ries says many of the biggest fears around AI are actually fears about capitalism.In this episode, Eric joins us to talk about why great companies lose their value over time, how shareholder prioritization reshaped modern business, and why AI could either amplify human creativity or become the ultimate cost-cutting machine.He explains the hidden forces behind corporate corruption, the concept of “financial gravity,” and why companies like Costco continue to outperform despite rejecting many traditional Wall Street “best practices.” From private equity and governance structures to AI alignment and the future of human creativity, this conversation explores the incentives shaping business, technology, and society itself.Like and follow for weekly episodes.In this episode:00:00 Intro01:00 Why great companies “go bad”02:10 The rise of corporate corruption05:48 Is capitalism itself the problem?07:08 Making money without creating value10:33 Corporate accountability & human flourishing13:06 Why this problem keeps getting worse18:21 How investors destroyed FedMart21:22 Why Costco defies wall street logic23:00 Financialization & the collapse of institutions24:27 How leaders can protect mission-driven companies27:12 “Financial gravity” explained31:10 Trustworthiness as a business asset34:37 Governance structures that actually work36:20 Transitioning into AI & the future of work37:42 AI governance & Anthropic38:37 The AI alignment problem41:30 Why AI is being optimized for cost cutting42:15 AI should augment creativity, not replace humans44:04 How to use AI as a learning tool46:34 Real examples of AI augmentation done right49:47 AI-assisted reading & learning50:22 The problem with AI-generated “slop”54:58 Why human-made work will become premium57:19 The future of the attention economy59:12 Will AI become addictive like social media?01:00:03 The case for an AI Bill of Rights01:04:11 Costco, DEI & organizational integrity01:07:13 AI Regulation, governance & human flourishing01:13:24 Fighting the “normative consensus” of shareholder primacy 01:21:21 Is the era of shareholder primacy already over?01:22:22 Final thoughtsConnect with Eric:LinkedIn: https://www.linkedin.com/in/eries/X: https://x.com/ericriesOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Are we entering the most transformative era of work in history?Technology is evolving weekly, and culture takes time to adapt. In this episode, AI futurist and award-winning innovation leader Maurice Conti explains how rapid technological change, especially in artificial intelligence, will shape our world, the economy, and the future of jobs, and what AI leadership means for navigating these shifts.Drawing on his experience with companies like Amazon, Nike, Mercedes, and Lululemon, Maurice shares insights from Fortune 100 companies and explains how generative AI, automation, and human-AI collaboration are transforming the workplace.The key insight is simple. The future of AI is not big, flashy, or “sexy.” It is quiet, invisible, and massively impactful. Maurice explains why we have entered the “Augmented Age,” where humans and AI work together, and outlines the major shifts known as the 4 Waves of AI defining this transformation, including the grassroots AI revolution happening inside organizations and the rise of AI agents and ecosystems.If you want to understand where AI is really going beyond the hype, this is a must-watch episode.Like and follow for weekly episodes.In this episode:00:00 Intro01:04 The “Augmented Age”: Humans + AI working together02:10 Sci-Fi to reality: Talking to computers like Star Trek04:11 Have we arrived at intuitive AI?05:15 Why AI progress isn’t linear 06:05 Can anyone predict the future of AI?07:05 The Nvidia story & “more AI in the future” principle08:57 Amara’s Law: Short-term hype vs long-term impact10:08 Why AI will be bigger (and slower) than expected10:54 The 4 Waves of AI explained11:00 Wave 1: “Interesting but not useful” AI12:31 Wave 2: Grassroots AI (hidden ROI inside companies)13:16 Why CEOs can’t see AI ROI14:09 Tool users → tool makers (the real shift)16:17 The invisible productivity explosion20:10 Wave 3: AI agents & ecosystems21:48 Wave 4: AI as electricity (invisible & everywhere)23:18 The dark side of “interesting AI”26:15 Personal AI use cases (daily life & work)27:09 Why most organizations are still “Grassroots”28:38 The explosion of tools (new risks for IT)30:15 CIO/CTO challenges: Control vs innovation33:09 Building the right AI infrastructure layer34:45 Where should companies invest in AI?37:14 Start with the problem, not the technology40:04 Toolset vs skillset vs mindset42:45 Why mindset & culture matter most44:28 The race to the bottom vs innovation45:15 New workplace norms & ethical questions49:49 Why culture changes slowly51:33 Tech vs culture: A fundamental tension52:30 Can organizations adapt to constant change?56:06 The myth of big, sexy AI57:01 Small AI, massive impact58:18 Where real innovation is happening59:13 Why young workers lead AI adoption01:01:22 Advice for leaders01:02:59 AI is a “Lord of the Rings” journey01:05:15 Will AI replace jobs?01:10:23 Lessons from past tech revolutions01:13:47 Why humans need ~25 years to adapt01:16:02 Why expectations rise with technology01:17:38 Why there will always be more work to do01:18:55 Final thoughts Connect with Maurice:LinkedIn: https://www.linkedin.com/in/mauriceconti/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What if everything we’ve been told about AI and the future of work is wrong?John Hagel says most leaders are asking the wrong questions:“How fast can we automate?”“How many jobs can we cut?”According to him, that’s a “going out of business strategy.”In this episode, we sit down with Silicon Valley veteran John Hagel, an advisor to firms like McKinsey, BCG, and Deloitte, to challenge the dominant narrative around AI, automation, and job elimination. He shares insights into how leaders are approaching AI today, often focusing on cost-cutting and workforce reduction, and what that means for the future of business and entrepreneurship.John explains that the real opportunity with AI isn’t efficiency, it’s learning. He talks about the shift from scalable efficiency to scalable learning and how organizations can use AI to augment human potential, unlock creativity and curiosity, and build cultures rooted in trust, collaboration, and continuous improvement.If you’re thinking about the future of work, this episode will challenge how you view AI, strategy, and innovation, and offer a different perspective on AI’s role in the modern economy.Like and follow for weekly episodes.In this episode:00:00 Intro01:30 Is “this time different” with technology?02:29 The Big Shift: Why organizations must fundamentally change03:18 Scalable efficiency vs scalable learning05:33 The dangerous AI narrative: automation & job cuts06:19 Why efficiency alone leads to diminishing returns09:42 Trust: The missing foundation in most organizations10:50 What happens when companies fail to adapt12:21 Debunking AI myths and media narratives12:46 Humans vs machines: who should do what?13:14 Reskilling vs building human capabilities15:03 How to convince leaders to rethink AI strategy16:24 Fear vs opportunity in leadership20:16 What real workplace learning looks like21:18 The future leader: asking better questions24:38 How to structure high-impact teams26:06 The collapse of trust in institutions26:58 Corporate narratives & Apple’s “Think Different”30:06 Creativity vs technology in strategy30:41 Zoom Out, Zoom In strategy explained33:08 Microsoft example: seeing the future early35:14 Why agility without direction fails37:21 Understanding “the edge” and innovation39:34 Why transformation efforts fail in large companies41:22 Scaling the edge vs top-down change42:52 The power of the “explorer mindset”47:18 Why companies suppress passion48:31 Only 14% of workers are truly passionate50:18 Can passion be cultivated at scale?52:29 Does IT still matter in the AI era?55:07 AI, healthcare, and the future of longevity57:13 From healthcare to “wellness ecosystems”58:19 The rise of the trusted advisor59:50 Can AI replace human advisors?01:02:25 Advice for leaders01:04:18 AI is a tool humans determine its impact01:06:29 Why most digital transformations failConnect with John:LinkedIn: https://www.linkedin.com/in/jhagel/X: https://x.com/jhagelOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What if the AI revolution isn’t what we’ve been promised?What does an economist and bestselling author have to say about the idea that Big Tech may be overselling the future of artificial intelligence?In this episode, Oxford economist and Associate Professor of AI & Work, Carl Benedikt Frey, shares his skeptical perspective on the impact of artificial intelligence. He explains what it could mean for the future of work, including job market shifts and the necessity of skills development.This conversation takes a critical look at the economic changes driven by AI, challenging the dominant narrative around productivity and technological progress. While Big Tech describes a future of abundance, Carl argues that history tells a more complicated story. From the Industrial Revolution to the computer age, breakthrough technologies didn’t automatically lead to sustained productivity or shared prosperity, and AI may follow a similar path.Like and follow for weekly episodes.In this episode:00:00 Intro00:57 Why the “AI Abundance” narrative might be wrong01:45 Lessons from the computer revolution & productivity slowdown03:30 AI vs computers: Automating cognition vs information05:19 Why Big Tech may be overhyping AI impact06:20 Automation vs creating new industries08:08 AI infrastructure race: US vs China10:25 The “Steam Engine Moment” AI hasn’t reached12:31 Why technology alone isn’t enough14:19 Why breakthrough innovation is declining15:09 The collapse of business dynamism15:45 Corporate lobbying, patents & barriers to entry17:27 Why this matters more than AI itself18:20 Startups vs Big Tech: Who drives innovation?19:36 Will AI accelerate economic inequality?21:37 Lessons from the Gilded Age & Antitrust History24:04 Why strong governments enable competition25:00 Big Tech vs historical monopolies26:19 Centralization vs decentralization in innovation29:01 Japan vs US33:56 AI and the “more vs better work” problem35:20 Will AI lower quality in research & knowledge?36:23 AI: Increasing quantity vs improving quality38:16 Why AI benefits low-skill workers more39:49 AI and the rise of global labor competition40:42 AI-driven offshoring42:17 Which jobs are most at risk?44:06 Long-term labor market predictions46:20 Where humans still beat AI48:15 The growing anti-AI backlash49:11 Historical resistance to technology 53:39 Can government reduce AI disruption?56:01 Why institutions determine outcomes59:25 Advice for business leaders01:00:12 Why decentralized companies win01:02:24 Why innovation requires “waste”Connect with Carl:LinkedIn: https://www.linkedin.com/in/carlbfrey/X: https://x.com/carlbfreyOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Why are 88% of businesses using AI but only 5% seeing real transformation?In this episode, we sit down with Dan Diasio, EY’s Global Consulting AI Leader and CTO, to break down the four possible futures of AI, from constraint to full transformation, and what it takes for organizations to win in an AI-driven world.Drawing from his experience advising Fortune 50 executives, Dan explains how leaders are navigating uncertainty, why many companies fall into the “sameness trap,” and what separates simple AI adoption from true competitive differentiation.We also explore the rise of AI agents and end-to-end workflows, why mindset and skillset matter more than toolset, and what the future of jobs looks like in an AI-first world.If you are thinking about AI strategy, leadership, or how to prepare your organization for what comes next, this episode delivers practical and forward-looking insights.Like and subscribe for weekly episodes. In this video:00:00 Intro00:40 Inside SXSW: Future-proofing AI strategy02:14 Why predicting AI is impossible 02:56 The four AI futures explained (constraint → collapse)04:36 What winning teams did differently05:50 The “sameness trap” in AI06:19 Positive vs negative AI futures07:23 Constraint, growth, transform, collapse09:54 What people actually believe about AI’s future10:45 How do you win with AI?13:17 Why business model innovation beats automation14:02 Hands-on AI15:46 How AI commoditizes output 17:01 AI investment trends: Productivity vs differentiation18:13 The shift toward competitive advantage with AI19:27 The AI Playbook: How leaders get it right20:34 Going broad vs going deep with AI21:11 88% vs 5%: The AI Adoption Gap22:20 Mindset vs skillset vs toolset23:27 Top-down vs bottom-up AI transformation25:16 The visibility trap explained26:06 Why new talent drives AI innovation28:22 AI resistance & fear in organizations29:43 “Death by a Thousand Papercuts” automation30:54 New jobs: Knowledge Engineers & AI Orchestrators32:48 Future Skills: Critical thinking, creativity, systems thinking35:12 The role of IT in the AI era37:34 AI as the new operating system of business39:01 SaaS vs A44:35 AI prototyping vs enterprise-scale systems47:18 Will AI kill consulting?54:07 AI infrastructure constraints & global risks56:09 Biggest AI myths & misconceptions57:34 Are we automating the wrong things?59:27 Amara’s Law & AI hype cycles01:00:12 How leaders should prepare01:01:01 Why value creation beats cost cutting01:02:17 Aligning AI strategy across the organizationConnect with Dan:LinkedIn: https://www.linkedin.com/in/dan-diasio/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

This is not just a technology shift. It is a human, organizational, and identity transformation.In this episode, we sit down with Ian Beacraft, Founder and Chief Futurist at Signal and Cipher, to talk about one of the most urgent questions facing leaders today: what happens to work, organizations, and identity in the age of AI?Ian argues that the next two years will matter more than the last 30, and that AI is not just another tool. It is a platform reshaping economies, organizations, and how we define work itself.We break down why most companies are getting AI wrong, the critical difference between culture and coordination, and how the rise of AI agents is shifting value from doing the work to designing it. We also cover what leaders need to do right now to stay ahead, including real world examples of failed AI adoption, the growing power of small teams, and the coming identity shift in the workplace.Like and subscribe for weekly episodes.In this video:00:00 Intro01:20 Biggest AI trends since last year 02:28 Why AI is not just a tool 03:28 AI, identity, and the redefinition of work 04:08 The real threat: Outdated organizational thinking 05:00 Culture vs coordination explained 07:08 The danger of replacing humans with AI 09:48 Employee anxiety & leadership impact 11:19 Why AI is NOT an IT problem 12:31 How organizations should approach AI 15:04 Encoding human expertise into AI systems 16:22 Trust, fear, and job replacement concerns 17:23 Leadership, vision & the social contract 20:50 Why most leaders lack vision today 21:46 “What you do in the next 2 years is your legacy” 23:14 Incremental vs transformational AI thinking 24:25 Encoding organizational identity for AI 29:02 Why everyone must redesign their own work 31:16 From doing work to designing work 34:50 How leaders should drive AI adoption 38:08 Lessons from Building an AI-native organization 41:23 Rethinking departments & organizational structure 42:33 AI agents running autonomous workflows 44:08 The future role of culture 45:12 Real examples of AI agents in action 48:21 Small teams vs large organizations 49:04 The rise of entrepreneurship with AI 50:07 Which jobs are most at risk 55:13 Finding your competitive moat in AI 56:47 Why AI adoption is Lagging 57:24 Prediction: The future will be messy 59:38 Why systems must break before they improve 01:00:29 The AI transformation is about people, not techConnect with Ian:LinkedIn: https://www.linkedin.com/in/ianbeacraftX: https://x.com/ianbcraftInstagram: https://www.instagram.com/ianbcraft/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Are we giving up our freedom for convenience without realizing it? In this episode, we sit down with Dr. Rumman Chowdhury, a globally recognized AI ethics leader featured in Time and Forbes, to unpack the real risks of artificial intelligence, Big Tech power, and data privacy. As the former Head of AI Ethics at Twitter and Accenture, Dr. Chowdhury shares an insider perspective on how Big Tech is consolidating power, why narratives around AGI and “AI intelligence” are often misleading, and how everyday tools from apps to social media, are quietly shaping a surveillance-driven ecosystem. This conversation dives into AI ethics, surveillance, and the future of work, and explores why trust in AI is declining even as adoption accelerates. We also break down the real-world implications of AI, and most importantly, how you can protect your data, reclaim your agency, and use AI more intentionally. In this video:00:00 Intro01:16 What’s wrong with AI today02:18 Why people trust AI less every year03:09 Big tech vs the technology itself04:22 Dangerous narratives about AI06:09 Anthropomorphism and moral outsourcing07:40 The myth of AGI and profit motives09:20 The economics behind AI power11:21 Consumer responsibility and the privacy paradox13:42 “I have nothing to hide” explained15:04 How big tech is consolidating control16:42 What consumers should actually do18:30 Real-world consequences of data misuse21:05 From Pokémon Go to surveillance systems22:29 The dilemma of social media and platforms26:05 Can AI still be used for good28:20 Algorithms, manipulation, and loss of agency30:12 Inside AI ethics at Twitter33:48 Why leadership and trust are changing35:17 Surveillance capitalism and public backlash37:31 How to think strategically about AI41:19 Finding agency and intentional use of AI45:06 Will society push back against AI power52:02 The role of AI ethicists and builders56:41 The future of work and automation reality01:01:32 Why expertise and discernment matter most01:06:35 Advice for business leaders using AI01:11:33 Final thoughts on agency and discernmentConnect with Dr. Rumman Chowdhury:LinkedIn: https://www.linkedin.com/in/rumman/Instagram: https://www.instagram.com/rumman_c/?hl=enOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What happens when AI, energy, and technology all go exponential at the same time?Salim Ismail says we’re entering a “messy decade” of disruption…In this episode, we sit down with Salim, the founding executive director of Singularity University and author of Exponential Organizations, to break down the rapid acceleration of AI, robotics, space tech, and solar energy, and what it all means for jobs, business, governments, and your future. Salim explains why AI is doubling every 8–10 weeks, how the cost of technology is collapsing, and how this shift is reshaping innovation, the workforce, and global power structures. From space-based data centers and abundant energy to the rise of AI-native companies, this conversation explores the technologies driving one of the biggest transformations of our time.Like and follow for weekly episodes.In this episode:00:00 Intro01:00 What’s actually going exponential right now03:30 The convergence of multiple exponential technologies05:00 Space tech breakthroughs & $6M rocket launches06:30 Data centers in space & infinite compute07:45 From scarcity to abundance: the big shift10:30 Real-world examples: music, communication, and industry disruption12:45 The “messy decade” before the future gets better14:00 Why institutions are breaking down (government, media, education)15:30 Star Trek vs mad max: two possible futures17:00 Why humans fear AI 20:00 Why technology is still humanity’s biggest advantage23:00 Will AI take your job?25:00 The ATM example: why jobs don’t disappear26:30 AI organizations and 80% workforce reduction myth28:30 The future of companies: small teams, big impact30:00 The rise of the creative economy32:00 Why human experience becomes more valuable34:30 AI and human experts (doctors, teachers, consultants)37:00 Which industries will be disrupted first40:00 Why governments are falling behind41:30 How to actually innovate46:30 What leaders must do right now50:00 What is an exponential organization?52:30 “What do I do on Monday?” practical advice57:00 The only strategy that works59:00 AI startups & the future of entrepreneurship01:02:00 Why most companies will fail to adapt01:06:00 How to increase organizational speed01:10:00 Leadership in the age of exponential change01:15:00 The future of nations vs cities01:20:00 Remote work vs in-person work01:25:00 Robots, AI, and the coming inner loop01:26:30 Why AGI is misunderstood01:32:00 What most people get wrong about the future01:34:00 Fixing civilization & human evolution01:37:00 Psychedelics, creativity, and human potential01:42:00 AI solving science and R&D autonomously01:48:00 Raising kids in an AI world01:52:00 The risk of losing human connection01:53:00 Where we’re headedConnect with Salim:LinkedIn: https://www.linkedin.com/in/salimismail/X: https://x.com/salimismailOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Are businesses falling behind in the AI revolution?While AI is transforming everything from workflows to decision-making, many companies are facing a surprising reality: they’re becoming less prepared for AI, not more. In this episode, we sit down with Brian Solis, a globally recognized futurist and thought leader, to explore how disruptive technology is reshaping business, society, and the future of work.As Head of Global Innovation at ServiceNow, Brian shares expert insights on business innovation, AI adoption, and what it truly takes to succeed in this rapidly evolving landscape. We also talk about the growing gap between AI-native companies and traditional enterprises, the rise of the agentic enterprise, and why true AI-driven reinvention requires far more than simple automation.Like and follow for weekly episodes.In this episode:00:00 Intro00:55 Are businesses falling behind in AI? 01:30 What “AI disruption” really means for business 03:30 The hidden dangers of AI: Bias, sycophancy & atrophy 05:20 Why most companies are underusing AI (capability overhang) 07:00 The AI index explained: Why readiness is declining 08:30 AI maturity scores are dropping and here’s why10:50 Will AI-native startups disrupt enterprise giants? 13:00 How AI is reshaping jobs, roles, and workflows 15:30 The biggest myth: “AI transformation is easy” 16:30 What is the agentic enterprise? (future of AI work) 18:30 Automation vs innovation: Where AI creates real value 20:30 Why AI needs vision, not just it execution 22:30 IKEA’s $1B AI Pivot: A real business case study 25:00 AI business reinvention vs digital transformation 27:00 AI agents explained: How they actually work in business 30:00 Who manages AI? The Rise of HR and IT collaboration 33:30 The Chief Workflow Officer: A new c-suite role? 37:30 Innovation culture vs reality: Why most companies fail 45:00 Can you succeed in AI without an innovation culture? 53:00 Biggest AI myth debunked and final takeawaysConnect with Brian:LinkedIn: https://www.linkedin.com/in/briansolis/X: https://x.com/briansolisInstagram: https://www.instagram.com/briansolis/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What happens to leadership, meaning, and human value in the age of AI? On this episode of Digital Disruption, we’re joined by Chip Conley, the former Head of Strategy at Airbnb, New York Times bestselling author, and founder of the Modern Elder Academy. Chip joins Geoff to explore whether humans are becoming obsolete or more important than ever. Chip makes the case that while AI is commoditizing knowledge, it’s elevating the value of human wisdom, intuition, and soulful leadership. They unpack the difference between knowledge and wisdom, why AI struggles to ask the right questions, how leaders can balance efficiency with humanity, and what the future of work looks like in an AI-driven world. From philosophy and ethics making a comeback to practical frameworks and wisdom as metabolized experiences shared for the common good, this episode is for anyone navigating AI transformation, searching for meaning, or rethinking what it means to lead and work today. If AI is the age of intelligence, this conversation argues that wisdom is the real competitive advantage. Chip is an American hotelier, hospitality entrepreneur, author, and speaker who founded Joie de Vivre Hospitality, growing it into the second-largest boutique hotel brand in the U.S., and later served as Airbnb’s Head of Global Hospitality & Strategy. A New York Times bestselling author of books like Peak, Emotional Equations, and Wisdom@Work, he founded the Modern Elder Academy, the first “midlife wisdom school,” to reframe aging and midlife. He is a prominent speaker, board member, and advocate for social impact initiatives.In this episode:00:00 Intro00:27 Are humans becoming obsolete in the age of AI?01:08 What is Chip Conley’s core philosophy today?01:27 Knowledge vs. wisdom: Why it matters more than ever02:30 AI, intelligence, and the limits of answers03:16 Why AI can’t ask the right questions (yet)04:06 Human intuition, storytelling, and experience06:19 Is AI a useful tool for leaders?07:06 How to use AI effectively as a leader07:43 Efficiency vs. soulfulness in work09:18 The human + AI partnership 11:27 What is “soulfulness” in leadership?14:10 Leadership, agency, and accountability15:30 Leaders as resource allocators17:17 Great leaders create future leaders18:29 Defining soulfulness: Empathy, intuition & connection20:19 Why soulful leaders feel different21:36 Is society losing its soul?22:25 Why scarcity makes wisdom more valuable24:27 Leadership, culture, and emotional contagion27:04 “Win at All Costs” vs. soulful leadership28:16 Is being human a weakness in business?29:53 The return of philosophy, ethics & humanities31:09 Why wisdom is making a comeback34:23 The future of work and what changes37:31 AI as a partner, not a replacement38:20 New careers: Coaches, curators & meaning makers39:04 What is Wisdom?42:18 Viktor Frankl & the equation for meaning44:24 Purpose vs. meaning explained46:47 Growth mindset vs. Know-it-all culture49:32 Turning pain into wisdom 50:29 The Midlife “U-Curve” of happiness53:21 The “Diet of Despair” in modern media59:19 Advice for young people in the AI era01:02:10 Why usefulness matters more than youthConnect with Chip:LinkedIn: https://www.linkedin.com/in/chipconleysf/X: https://x.com/ChipConleyInstagram: https://www.instagram.com/chipconley/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Are we in an AI bubble or at the beginning of the biggest technological convergence cycle since the Industrial Revolution?On this episode of Digital Disruption, we’re joined by the CEO of the Future Today Strategy Group and tech futurist Amy Webb.Amy joins Geoff Nielson to unpack what 2026 really looks like through the lens of artificial intelligence, programmable biology, quantum computing, biological computing, geopolitics, and systems-level change. Amy argues that we’ve officially entered a new convergence cycle, a rare historical moment where AI, biotech, computing architectures, economic systems, and geopolitics collide to create an entirely new reality. This isn’t incremental innovation. It’s structural transformation. If you’re looking for a conversation grounded in data-backed frameworks to help you navigate disruption, understand convergence cycles, and build real strategic vision in an age of uncertainty, this episode is for you. Tune in to hear what “creative destruction” truly means for business leaders, how power is shifting between Big Tech, governments, and capital markets, why “future-proofing” is a myth, and why many CEOs are falling short when it comes to long-term strategic foresight. Amy is recognized as the global authority who transformed the practice of strategic foresight into a rigorous, data-driven discipline. A pioneering quantitative futurist, she established the field’s foundational methodologies that today guide leaders, organizations, and governments in anticipating disruption, shaping the future, and securing long-term growth. Ranked the #4 Most Influential Management Thinker in the World by Thinkers50, Amy is regarded as one of the most important voices on the future of technology, business, and society. Forbes named her “one of the five women changing the world,” and the BBC recognized her among its 100 Women of the Year. In this video:00:00 Intro 01:08 Where are we in 2026? A world in technological “Typhoon”01:49 What is a convergence cycle? (Industrial revolution to internet era)04:14 Why AI is the foundation of this new era05:04 Systems-level change vs trend stacking06:19 From AI winters to generative AI breakthroughs07:27 Power shifts: OpenAI, Microsoft, Google & Competitive Dynamics08:31 Winners vs losers in the convergence economy09:26 Fear, FOMO & leadership paralysis12:17 Rethinking regulation & geopolitical power shifts15:40 Why “Future-Proofing” is a myth17:14 AI capital flood: Is there a bubble?19:25 Enterprise AI & the 80% workforce threshold23:27 The attention economy & AI hype27:28 Where AI actually creates real impact28:11 Programmable biology & DeepMind’s Evo 230:00 Climate solutions, agriculture & synthetic biology31:59 Dolly the Sheep & why transparency matters38:19 mRNA, public trust & technology communication40:15 The polycompute future: AI + quantum + biological computing41:01 Quantum computing’s business implications42:20 Brain organoids & biological computers46:48 Creative destruction: What must die for you to survive?49:00 Why evolution isn’t enough anymore51:47 Why leaders avoid dangerous conversations52:39 Strategic foresight & data-backed vision56:36 Why AI navel-gazing is procrastination57:23 Leadership in an age of convergenceConnect with Amy:LinkedIn: https://www.linkedin.com/in/amywebb/X: https://x.com/amywebbInstagram: https://www.instagram.com/amywebbfuturist/Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Is AI really replacing software engineers, or just changing how they work?On this episode of Digital Disruption, we’re joined by Bala Muthiah, Director of Engineering at Lyft. Bala sits down with Geoff to cut through the hype around AI in software development and explain what’s actually changing inside high-performing engineering teams and what that means for the future of work. From vibe coding and AI-powered prototyping to production-ready systems, productivity gains, and the reality behind 10x (or 100x) engineer claims, Bala shares a grounded perspective on why true improvements are closer to 10–20%, not exponential overnight disruption. They discuss engineering leadership in the AI era, bridging skeptics and evangelists, why value creation matters more than lines of code, the importance of customization over out-of-the-box AI, data privacy and governance responsibilities, the growing digital divide, and the critical role of curiosity, culture, and trust in building modern tech teams. Bala is a technology leader who builds high-performing teams and AI that enhances human connection. Beyond his technical leadership, he serves as a startup advisor and served as an advisory board member at Defy Ventures (nonprofit focused on prison reform), reflecting his belief that community impact and innovation should grow together. He emphasizes that AI with humans in the forefront shapes everything he does. AI. He promotes positive aspects of AI while recognizing that leaders must guide its development responsibly.In this episode:00:00 Intro00:57 Why this is the most pivotal moment in tech02:21 Bridging the AI dreamers and skeptics03:18 Productivity vs. value creation04:44 Vibe Coding: Hype vs. reality05:27 Democratizing software development06:09 Prototyping vs. production code08:17 Will AI reduce the need for engineers?12:25 What engineers should focus on now13:59 Curiosity as a core engineering trait15:34 Why engineers must be close to customers17:28 Feature slop & intentionality20:39 Lyft’s real-time AI design workflow (cursor example)23:32 When AI is (and isn’t) truly real-time25:18 Custom AI vs. out-of-the-box tools26:55 Data ethics, privacy & governance in ai29:04 A framework for sensitive data31:18 Why leaders must act before regulation32:38 AI Hype: Utopia vs. doomsday narratives36:23 Culture as a competitive advantage38:55 What makes a great engineering leader40:42 Common mistakes new tech managers make45:19 From “sell” to “tell”47:55 Leading hybrid & remote engineering teams49:46 The 10x (or 100x?) engineer debate53:29 Advice for young engineers55:23 The future of work56:55 Bridging the digital divide58:51 “Give Before You Take” philosophyConnect with Bala:LinkedIn: https://www.linkedin.com/in/balaarjunan/X: https://x.com/balaarjunanOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What does it actually take to lead in the age of AI?On this episode of Digital Disruption, we’re joined by Deborah Liu, former CEO of Ancestry and former VP of Facebook Marketplace at Meta.Deborah joins Geoff to share a candid, practical look at modern leadership in 2026. Drawing on her experience scaling billion-user platforms and transforming legacy organizations, she explains why “adding AI” isn’t a strategy and what it truly means to build an AI-native company.They unpack Facebook’s mobile-first pivot and what it teaches about leading through disruption, why adaptability may be the most important executive skill of the next decade, and how CEOs should think about AI governance, security, and enterprise guardrails. Deborah also discusses building with a founder mindset inside large organizations and creating a culture where innovation comes from the bottom up.This conversation also explores the human side of leadership and why communication makes up 80% of the job.Deborah was most recently President and CEO of Ancestry, where she brought the legacy company into its next phase of growth. In her prior role at Meta, she turned persistence into a platform. The idea for Facebook Marketplace came to her during her first interview, though it took six years of strategic thinking and tenacious advocacy to build what would become a global marketplace serving over a billion people. She also architected Facebook’s first mobile ad products and payments infrastructure, proving that the most powerful solutions emerge when you connect the right people, ideas, and opportunities. Her 20+ years in tech began with integration work at PayPal and eBay — complex projects that taught her how to see the connections others miss.In this video:00:00 Intro01:00 What Being a CEO Means in 202606:30 Rebuilding a legacy company for the AI era07:20 Facebook’s mobile-first pivot (stock price crisis)10:45 The power of top-down buy-in12:00 Big bets vs incremental change15:00 The “Future Us” decision-making framework19:35 How to build great products21:00 Fall in love with the problem, not the solution22:45 AI: Blessing or curse for product teams?24:30 AI governance, security & data risks26:45 Are developers becoming obsolete?28:30 Why senior engineers are more valuable in AI30:00 Should CEOs own AI strategy?34:30 Magic wand dinners & listening as a leader36:00 Remote work vs in-person culture40:00 Breaking the CEO archetype44:00 Failure as a career advantage47:00 Communication is 80% of leadership51:00 Why experts often fail as managers53:30 Building a culture of innovation58:00 Scaling infrastructure to unlock product velocity 1:10:00 Parenthood & career stalls (the honest truth)1:15:00 Networking for introverts1:20:00 Adaptability: The most important skill of the next decade1:21:30 Closing thoughtsConnect with Deborah:LinkedIn: https://www.linkedin.com/in/deborahliu/X: https://x.com/debliu_Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Is AI actually going to replace developers? Or is the hype getting ahead of reality?On this episode of Digital Disruption, we’re joined by Sebastian Raschka, AI Research Engineer and author.Sebastian Raschka sits down with Geoff Nielson to unpack the real state of Large Language Models (LLMs) in 2026. As an LLM research engineer, Sebastian bridges deep technical expertise with practical, real-world AI implementation. In this conversation, he cuts through AI hype to focus on what’s actually achievable with modern LLMs, reasoning models, reinforcement learning, and inference scaling and where the limitations still exist. Sebastian explains why most companies should not build a large language model from scratch, but also why understanding the fundamentals may be one of the most important investments technology leaders can make. This conversation breaks down: ◼️Why coding is currently the strongest LLM use case ◼️Why “reasoning” models still fail simple tasks like counting letters in “strawberry” ◼️The reality behind Math Olympiad gold-level AI claims ◼️The true cost of training large models (millions in GPU compute) ◼️The privacy risks of uploading proprietary data into APIs ◼️How enterprises should think about fine-tuning vs API-based prompting ◼️Why benchmarks and leaderboards can be misleading Sebastian Raschka has over a decade of experience in artificial intelligence and machine learning. His work bridges academia and industry, serving as a Senior Engineer at Lightning AI and as a faculty member at the University of Wisconsin–Madison. He is the author of Build a Large Language Model from Scratch and is widely recognized for his practical, code-driven approach to AI education and research. His expertise lies in LLM research, transformer architectures, reinforcement learning, and the development of high-performance AI systems, with a strong focus on real-world implementation.In this video:00:00 Intro01:23 The Rise of “Reasoning” and Thinking Models03:06 Inference scaling vs training scaling06:17 What LLMs are actually good (and bad) at07:09 The “Strawberry” Problem and Reasoning Limits09:00 Tool use and why LLMs don’t need to count letters10:20 Math Olympiads & self-refinement techniques12:01 Why coding is the killer use case13:28 Does AI make developers obsolete?18:02 The Reality of 10x developer productivity claims21:43 Generalist vs specialized models23:53 Build from scratch vs fine-tune vs API prompting25:01The true cost of training an LLM27:33 API customization vs owning your model29:12 Who should build an LLM from scratch?33:16 Data requirements & why you need terabytes34:28 Enterprise data challenges35:40 Retrieval-Augmented Generation (RAG) explained46:05 Multi-agent systems & tool calling49:48 The problem with LLM benchmarks55:43 Using LLMs as judges58:00 Biggest misconceptions about LLMs1:04:19 Reinforcement learning with verifiable rewards1:06:32 Advice for technology leaders1:11:48 Escaping AI hype through fundamentalsConnect with Sebastian:LinkedIn: https://www.linkedin.com/in/sebastianraschka/X: https://x.com/rasbtConnect with Sebastian:LinkedIn: https://www.linkedin.com/in/sebastianraschka/X: https://x.com/rasbt Our links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Is artificial intelligence strengthening democracy or quietly reshaping power in ways we’re not prepared for?On this episode of Digital Disruption, we’re joined by world-renowned security technologist and author Bruce Schneier.Bruce is described by the Economist as a "security guru," he is best known as a refreshingly candid and lucid security critic and commentator. He works at the intersection of security, technology, and people. and has been writing about security issues on his blog since 2004 and monthly newsletter since 1998. He is a fellow and lecturer at Harvard’s Kennedy School, a board member of the Electronic Frontier Foundation, and the Chief of Security Architecture at Inrupt, Inc.Bruce joins Geoff to explore one of the most important questions: Will AI strengthen democracy or quietly undermine it? From government services and public policy to cybersecurity, labor, and the justice system, Bruce breaks down how artificial intelligence acts as a power-magnifying technology, amplifying both the best and worst intentions of those who use it. Drawing from real-world examples in Germany, Brazil, Japan, France, Canada, and the United States, this conversation examines where AI is already reshaping democratic institutions. He also outlines four concrete strategies for steering AI toward democratic outcomes: resisting harmful uses, reforming the AI ecosystem, responsibly deploying AI where it helps, and fixing the underlying societal problems AI tends to amplify.This conversation also dives into: ◼️How AI can improve government efficiency without replacing human judgment ◼️The risks of AI concentration in the hands of powerful corporations and governments ◼️AI’s impact on work, jobs, and hiring in an era of automation ◼️The role of regulation, reform, and resistance in shaping AI’s future ◼️Whether AI will ultimately democratize power or reinforce inequality In this video:00:00 Intro02:10 AI as a power-magnifying technology05:00 The four ways AI can help or harm democracy07:20 Real-World AI use in elections and civic engagement (Germany & Japan)10:00 AI in courts, justice systems, and public administration (Brazil)12:30 Journalism, transparency, and AI as an investigative tool15:00 Human-in-the-loop: Why oversight still matters18:20 Designing AI that can say “yes” but not “no”21:00 AI, Work, hiring, and the automation arms race24:00 Fraud, trust, and remote work in the AI Era27:00 Does AI democratize power or reinforce it?30:00 Trustworthy AI vs. “good enough” AI33:00 When AI is forced on citizens without choice36:00 Regulation, markets, and the myth of the AI arms race39:00 What leaders should ask before deploying AI42:00 Jobs, backlash, and AI-driven inequality44:00 Lessons from blockchain and past tech hype cycles48:00 AI, cybersecurity, and the attacker vs. defender balance52:00 The future of AI skills and careers55:00 Steering AI toward democracyConnect with Bruce:Facebook: https://www.facebook.com/bruce.schneierOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What does the future of AI really look like as we head toward 2026, beyond the hype, headlines, and fear-driven narratives?On this episode of Digital Disruption, we’re joined by internationally recognized advisor, speaker, and researcher on AI strategy, Walter Pasquarelli.Walter is one of the world’s leading voices on ethical and strategic AI. He has advised governments, global institutions, and leading technology companies on AI governance, policy, and readiness, and brings a grounded perspective on what it really takes to lead in the age of artificial intelligence.Walter joins Geoff to unpack what’s actually happening with artificial intelligence and what most media coverage gets wrong. He brings a 360-degree view of AI adoption and how AI is moving out of boardrooms and into everyday life, reshaping how people think, decide, work, and relate to technology. This conversation dives into: Why AI adoption is accelerating among consumers not just enterprises The rise of AI companions, humanoid robots, and everyday AI use The real risks behind automation anxiety, data privacy, and emotional dependency What “AI psychosis” is and why it’s a growing concern Why AI literacy matters more than fear, hype, or blind regulation How AI is reshaping work, leadership, and global competitiveness In this video:00:00 Intro01:14 AI’s trajectory toward 202602:09 AI moves from boardrooms to living rooms03:16 Humanoid robots: From screens to physical bodies05:35 Household robots, prestige, and consumer adoption07:33 Military, drones, and high-stakes AI applications08:46 Self-driving cars as robotics, not just vehicles13:49 Automation anxiety and ethical reality18:30 Shifting authority from humans to algorithms19:58 Power concentration and data privacy risks22:49 AI, mental health, and emotional dependency28:11 Why regulation alone will always lag33:25 Business leaders’ biggest AI misconceptions36:49 Data, talent, and capability gaps42:18 Estonia, strategy, and digital leadership44:42 Advising governments: What leaders must do49:49 AI, sector disruption, and the future of work53:22 Why top performers benefit most from AI56:14 Judgment, curation, and human excellenceConnect with Walter:LinkedIn: https://www.linkedin.com/in/walter-m-pasquarelli/?originalSubdomain=ukX: https://x.com/waltpasquarelliOur links:Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What if AI becomes the most consequential technology in human history? On this episode of Digital Disruption, we’re joined by Nina Schick, geopolitical analyst and one of the world’s leading voices on AI. Nina Schick is a globally recognized expert on AI, geopolitics, and power. She was among the first to forecast the societal impact of AI-generated content and now leads the conversation on Industrial Intelligence, the idea that AI is not just software, but a geopolitical and industrial transformation. Nina sits down with Geoff to unpack how intelligence itself is becoming a geopolitical weapon. She explains why we are entering the Age of Intelligence, where non-biological intelligence may soon rival or surpass human intelligence, reshaping economics, warfare, democracy, labor, and global power structures This conversation goes far beyond AI tools and chatbots. We explore: Why AGI may arrive sooner than expected How AI infrastructure and scaling laws are reshaping global power What AI means for warfare, democracy, and national security How near-zero-cost intelligence will transform work and leadership In this episode:00:00 Intro01:33 The AI scaling laws accelerating toward AGI03:09 Excitement vs fear: how disruptive will AI really be?05:16 Deepfakes, information warfare, and early AI misuse06:58 AI’s true killer app: scientific discovery08:49 Intelligence as a utility and the speed of global disruption10:38 Why AI is becoming the biggest political issue of our time12:12 Concentration of power and the rise of AI monopolies14:33 Technology, history, and why power always follows innovation16:18AI infrastructure, hyperscalers, and trillion-dollar CapEx19:05 AI as hard power and American technological dominance21:15 NATO, national security, and autonomous warfare23:55 The end of American hegemony and the rise of hard power politics27:36 Democracy vs authoritarianism in the AI race29:48 Why trivial consumer AI is a strategic failure35:52 What AI deployment really means for businesses39:13 The myth of AI tools vs intelligence as a capability41:41 Will AI actually cause mass layoffs?46:32 Asset ownership in a world of cheap intelligence50:24 How AI empowers individuals and emerging economies52:51 The most important skills for the AI age55:38 Why being human matters more than ever56:41 Resilience, risk, and the futureConnect with Nina:LinkedIn: https://www.linkedin.com/in/ninaschick/X: https://x.com/NinaDSchickVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Is the metaverse actually dead or just badly branded?On this episode of Digital Disruption, we’re joined by Christian Venables, co-founder of Radical Realities.Christian specializes in immersive technology and AI, staying at the forefront of emerging tools, platforms, and workflows. With a strong foundation in architecture and design, he has transitioned into extended reality (XR), exploring the evolving possibilities of virtual reality (VR), augmented reality (AR), and spatial computing. He is the Co-Founder of Radical Realities, a global immersive studio of creative innovators operating entirely virtually. The studio delivers experiences that transcend the physical world, spanning metaverse development, gaming, AR/VR/MR, CGI, VFX, and AI consultancy. Throughout his career, Christian has led and contributed to immersive projects for globally recognized brands including Coachella, Universal, Disney, Cartier, and Hyundai.Christian sits down with Geoff to break down why the metaverse will be rebranded and not abandoned. The real future isn’t cartoon avatars or fantasy worlds, but spatial computing, AR glasses, and ambient interfaces that blend seamlessly into everyday life. Despite years of hype, backlash, and false hope, the metaverse may finally be entering its most practical and powerful phase. Christian explains why the term itself may disappear, while the underlying technologies XR, spatial computing, AI-driven 3D design, and wearable AR glasses, are already reshaping how we work, learn, design, and collaborate. From Meta Ray-Ban display glasses and neural wristbands to Gravity Sketch, Unreal Engine, and AI-assisted worldbuilding; This conversation explores how immersive computing is moving beyond gimmicks into real-world utility, especially across architecture, engineering, education, and the creative industries.In this video:00:00 Intro03:00 Is the metaverse dead or just misbranded?06:00 Spatial computing vs virtual worlds09:00 Why AR glasses matter more than headsets12:00 Smart glasses: why this wave is different15:00 Neural wristbands and gesture-based control18:00 How quickly humans become dependent on tech21:00 The split between human-made and AI-generated culture24:00 Augmenting creativity instead of replacing it27:00 Designing entirely inside VR30:00 Gravity Sketch: true 3D creation explained34:00 Why spatial collaboration beats screens38:00 Real-world use cases: architecture & manufacturing42:00 Why mouse and keyboard are reaching their limits47:00 AI + XR: generating worlds in real time52:00 What needs to happen before immersive tech scales56:00 Should immersive computing be back on our radar?Connect with Christian:LinkedIn: https://www.linkedin.com/in/christian-venables-74542836/Instagram: https://www.instagram.com/csavenables/X: https://x.com/CsavenablesVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What happens when the people building artificial intelligence quietly believe it might destroy us? On this episode of Digital Disruption, we’re joined by Gregory Warner, Peabody Award–winning journalist, former NPR correspondent, and host of the hit AI podcast The Last Invention.Gregory Warner is a versatile journalist and podcaster. He has been recognized with a Peabody Award and other awards from organizations like Edward R. Murrow, New York Festivals, AP, and PRNDI. Warner's career includes serving as an East Africa correspondent, where he covered the region's economic growth and terrorism threats. He has also worked as a senior reporter for American Public Media's Marketplace, focusing on the economics of American health care. His work has been recognized with a Best News Feature award from the Third Coast International Audio Festival.Gregory sits down with Geoff for an honest conversation about the AI race unfolding today. After years spent interviewing the architects, skeptics, and true believers behind advanced AI systems, Gregory has come away with an unsettling insight: the same people racing to build more powerful models are often the most worried about where this technology is heading. This episode explores whether we’re already living inside the AI risk window, why AI safety may be even harder than nuclear safety, and why Silicon Valley’s “move fast and fix later” mindset may not apply to superintelligence. It also examines the growing philosophical divide between AI doomers and AI accelerationists. This conversation goes far beyond chatbots and job-loss headlines. It asks a deeper question few are willing to confront: are we building something we can’t control and, doing it anyway? In this video:00:00 Intro03:00 AI models that already behave like elite hackers05:00 Why the AI risk window may already be open06:30 What AI safety actually means (and why it’s so hard)12:00 Human-in-the-loop: safety feature or illusion?15:00 AI as an alien intelligence, not a human one19:00 The Silicon Valley AI arms race explained21:00 OpenAI, DeepMind, Anthropic, xAI: who’s racing and why25:00 The “Compressed Century” and radical AI optimism27:00 Can AI actually solve humanity’s biggest problems?33:00 Capital, competition, and the pressure to deploy37:00 Is AI more dangerous than nuclear weapons?39:00 The problem with comparing AI to past technologies43:00 What happens to human agency in an AI-driven world?45:00 How AI reshapes creativity, journalism, and truth53:00 The quiet assumptions built into AI systems55:00 Why optimism and fear both miss the full picture59:00 What responsibility do users have?01:01:00 The most important question we’re not asking about AIConnect with Gregory:LinkedIn: https://www.linkedin.com/in/radiogrego/Instagram: https://www.instagram.com/radiogrego/Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What happens to jobs, money, and meaning when intelligence becomes cheaper than labor and humans are no longer the smartest ones in the room?On this episode of Digital Disruption, we’re joined by Emad Mostaque, founder of Stability AI and a leading voice in the global AI revolution.Emad Mostaque is a businessman, mathematician, and former hedge fund manager. He is the co-founder and was CEO of Stability AI, the company behind the popular text-to-image generator Stable Diffusion. With a master’s degree in mathematics and computer science from Oxford, Emad Mostaque has significantly contributed to artificial intelligence. His vision for Stability AI was to “build the foundation to activate humanity’s potential” through open-source generative AI.Emad sits down with Geoff to explore a future that may arrive far sooner than most people expect. He argues that within the next 1,000 days, artificial intelligence will fundamentally reshape the global economy, upending work, capitalism, enterprise software, and even how we define human value. Drawing from his book The Last Economy, Emad lays out a stark and deeply thought-provoking framework for understanding what comes next when cognitive labor becomes economically irrelevant. This conversation explores the inevitabilities of exponential AI progress, including why intelligence is becoming “too cheap to measure,” how AI agents will replace many jobs done behind a screen, and the coming shift from human-plus-AI teams to AI-only systems. Beyond the economics, Emad also tackles the human question: where meaning comes from in a world where AI outperforms us at most cognitive tasks. He argues that resilience in the AI age will depend less on job titles and more on community, networks, relationships, and how deeply individuals engage with the technology itself.In this video:00:00 Intro04:30 What is “The Last Economy”?08:45 Intelligence becomes too cheap to measure13:30 The three possible AI futures18:00 Are humans becoming the weakest link?22:15 The rise of economic agents27:00 Digital doubles and the end of white-collar work31:45 Enterprises racing toward zero employees36:30 Why AI is cheaper than human labor (by orders of magnitude)41:15 Software, SaaS, and the collapse of enterprise moats46:00 The internet after AI agents50:15 Who controls the “AI next to you”?54:30 Open-Source vs Big Tech AI58:45 The first one-person billion-dollar company1:03:30 What humans are still for1:07:00 How to prepare for the AI economy nowConnect with Emad:LinkedIn: https://www.linkedin.com/in/emad-mostaque-9840ba274/?originalSubdomain=ukX: https://x.com/EMostaqueFacebook: https://www.facebook.com/mostaquee/Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Is artificial intelligence humanity’s greatest salvation, or the most dangerous force we’ve ever unleashed?Artificial intelligence is no longer a future concept, it’s a force already reshaping geopolitics, economics, warfare, and the human experience itself. In this year in review episode of Digital Disruption, we bring together the most provocative, conflicting, and urgent ideas from this past year to confront the biggest question of our time: What does AI actually mean for humanity’s future?Across more than 40 conversations with leading technologists, journalists, researchers, and futurists, one theme dominated every debate, AI. Some guests argue that artificial general intelligence (AGI) and superintelligence could trigger an extinction-level event. Others believe AI may usher in an era of total abundance, solving humanity’s hardest problems. And still others claim today’s AI hype is little more than marketing smoke and mirrors.This episode puts those worldviews head-to-head.In this episode:00:00 The AI singularity is here05:00 Existential threat or greatest opportunity?10:00 Why no one agrees on ai’s future15:00 The race toward AGI and superintelligence20:00 The control problem nobody has solved25:00 Intelligence has no morality30:00 Capitalism, venture capital, and the AI arms race35:00 Is AI just a marketing illusion?40:00 Generative AI: Power, limits, and misuse45:00 Autonomous weapons and modern warfare50:00 Fear as the driver of dangerous innovation55:00 Why AI is not like nuclear weapons1:00:00 The first and second AI dilemmas1:05:00 Handing decisions over to machines1:10:00 Collapse, abundance, or course correction?Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Are companies preparing for an AI-powered future or reacting out of fear of being left behind?Looking ahead to 2026, Geoff Nielson and Jeremy Roberts sit down for an unfiltered conversation about artificial intelligence, the economy, and the future of work. As AI hype accelerates across markets, boardrooms, and headlines, they ask the hard questions many leaders and workers are quietly worrying about: Are we in an AI bubble? If so, what happens when expectations collide with reality? This episode explores whether today’s massive investment in AI, GPUs, infrastructure, copilots, and generative tools is laying the foundation for long-term value or repeating the familiar patterns of past tech bubbles like the dot-com boom and the subprime mortgage crisis. Geoff and Jeremy break down why traditional metrics like price-to-earnings ratios matter, why Nvidia and big tech dominate the narrative, and why the real risk may not be collapse but widespread underperformance. The conversation goes far beyond markets. They dig into the impact of AI on jobs, layoffs, and corporate restructuring, challenging the idea that AI is “taking jobs” versus being used as convenient cover for economic tightening. From IT, HR, and operations to customer-facing roles, they examine how AI could reshape workforce composition, accelerate automation, and create a new and potentially unsettling employment equilibrium. You’ll also hear a candid critique of how organizations are actually using AI today and what is to come next in 2026.Tech Trends Report 2026: https://www.infotech.com/research/ss/tech-trends-2026?utm_source=youtube&utm_medium=social&utm_campaign=researchIn this video:00:00 Just add AI to everything?03:45 Looking ahead to 2026: Nobody knows what’s coming07:10 Are we in an AI bubble? 12:30 Comparing AI to the dot-com and 2008 crashes18:10 Nvidia, GPUs, and the AI Gold Rush24:20 Why AI infrastructure may be ahead of real-world use cases.30:40 Markets untethered from reality36:50 is AI really taking jobs or is something else happening?43:30 The real employment question for 202649:40 Corporate bloat, back-office roles, and automation56:10 Why most AI projects fail to deliver value1:02:45 From productivity theater to real ROI1:09:20 Faster horses vs. Real cars in AI1:15:40 AI 2.0: Agents, experiments, and what comes next1:22:10 The real risk ahead: Underperformance, not collapseVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Are we using AI in a way that actually makes us smarter or are we unknowingly making ourselves less capable, less curious, and easier to automate?On this episode of Digital Disruption, we are joined by artificial intelligence expert and neuroscientist, Dr. Vivienne Ming.Over her career, Dr. Vivienne Ming has founded 6 startups, been chief scientist at 2 others, and founded The Human Trust, a philanthropic data trust and “mad science incubator” that explores seemingly intractable problems—from a lone child’s disability to global economic inclusion—for free. She co-founded Dionysus Health, combining AI and epigenetics to invent the first ever biological test for postpartum depression and change the lives of millions of families. She also develops AI tools for learning at home and in school, models of bias in hiring and promotion, and neurotechnologies to treat dementia and TBI. Vivienne was named one of “10 Women to Watch in Tech” by Inc. Magazine and one of the BBC’s 100 Women in 2017. She is featured frequently for her research and inventions in The Financial Times, The Atlantic, Quartz Magazine and the New York Times.Dr. Vivienne Ming sits down with Geoff to unpack one of the most misunderstood truths about artificial intelligence: AI isn’t here to replace your thinking it’s here to challenge it. And whether you grow or get left behind depends entirely on how you choose to engage with it. Dr. Ming reveals why most organizations and most individuals are using AI in the worst possible way. Instead of creating leverage, they’re creating “work slop,” cognitive dependency, shallow automation, and declining human capability. She explains why the real competitive advantage in the AI age comes from productive friction, creative complementarity, and teams that know how to use AI to explore the ill-posed problems—the ambiguous, uncertain, high-value challenges machines can’t solve on their own. From how to robot-proof your company, to why AI tutors fail when they give answers, to the science of courage, reward systems, and organizational culture, this conversation is one of the most honest explorations of the future of human capability in an AI-saturated world. In this video:00:00 Intro02:30 The real value of hybrid intelligence05:00 Cognitive automation vs. true complementarity08:20 Ill-posed problems: where humans still win12:10 What elite performers really do differently16:00 The paradox of AI: why more automation creates more work18:30 How hybrid teams beat prediction markets20:50 Inequality & imagination disease in AI23:10 AI tutors & the golden rule: never give the answer28:00 The nemesis prompt: how to robot-proof yourself44:20 Courage, ethics & reward structures in organizations54:00 Using AI without losing the human story01:06:30 How to robot-proof your companyConnect with Vivienne:Website: https://socos.org/about-vivienneLinkedIn: https://www.linkedin.com/in/vivienneming/Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

If AI is becoming a “playground” for experimentation, are today’s organizations bold enough to explore it or are they still too afraid to try?On this episode of Digital Disruption, we are joined by Kenneth Cukier, Deputy Executive Editor at The Economist and bestselling author.Kenneth Cukier is the Deputy Executive Editor at The Economist. He is the author of several books on technology and society, notably “Framers” on the power of mental models and the limitations of AI, with Viktor Mayer-Schönberger and Francis de Vericourt, as well as “Big Data: A Revolution That Transforms How We Live, Work and Think” with Viktor. It was a NYT bestseller translated into over 20 languages, and sold over two million copies worldwide. It won the National Library of China’s Wenjin Book Award and was a finalist for the FT Business Book of the Year. Kenn also coauthored a follow-on book, “Learning with Big Data: The Future of Education”. He has been a frequent commentator on CBS, CNN, NPR, the BBC and was a member of the World Economic Forum’s global council on data-driven development.Kenneth has spent decades at the intersection of AI, journalism, business strategy, and global policy. In this conversation, he sits down with Geoff to share candid insights on how AI is reshaping organizations, leadership, economics, and the future of work. He breaks down the real state of AI, what’s hype, what’s real, and what it means for workers, leaders, and companies. Kenneth explains how AI is shifting from automating tasks to expanding the frontier of knowledge, why today’s multi-trillion-dollar AI investment wave is both overhyped and underhyped, and how everything from healthcare to management is poised to transform. This episode explores why most companies should treat AI as a “playground” for experimentation, how The Economist is using generative AI behind the scenes, the human skills needed to stay competitive, and why great leadership now requires enabling curiosity, psychological safety, and responsible innovation. Kenneth also unpacks the growing “AI-lash,” the limits of GDP as a measure of progress, and why the organizations that learn fastest, not the ones that simply know the most, will win the future.In this episode:00:00 Intro05:00 AI Today: Overhyped, underhyped, or both?10:00 From Big Data to LLMs: How we got here15:00 The $3 trillion AI wave: What it really signals20:00 Automation vs. knowledge expansion25:00 Inside The Economist: How they actually use Generative AI30:00 Why “more content” isn’t a strategy35:00 Leadership in the age of AI: Curiosity, judgment, culture40:00 The skills humans must keep and why they matter more now45:00 The rise of the “AI-lash” and public skepticism50:00 GDP, progress, and what we’re measuring wrong55:00 Why the fastest learners win the future1:01:00 What can this technology really do?Connect with Kenneth:Connect with Kenneth:Website: http://www.cukier.com/LinkedIn: https://www.linkedin.com/in/kenneth-cukier-9ab56335/X: https://x.com/kncukierVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What does the future of work really look like when AI, identity, and culture collide?On this episode of Digital Disruption, we’re joined by Dr. Anne-Marie Imafidon, Chair of the Institute for the Future of Work.Anne-Marie is a leading voice in the tech world, known for her work as a trustee at the Institute for the Future of Work and as the temporary Arithmetician on Channel 4’s Countdown. A former child prodigy who passed A-level computing at 11 and earned a Master’s in Maths and Computer Science from Oxford by 20, she has since spoken globally for companies including Facebook, Amazon, Google and Mastercard. She hosts the acclaimed Women Tech Charge podcast and is a sought-after presenter who has interviewed figures such as Jack Dorsey and Sir Lewis Hamilton. Anne-Marie has received multiple Honorary Doctorates, serves on several national boards, and continues to champion diversity and innovation in tech. Her latest book, She’s In CTRL, was published in 2022.Dr. Anne-Marie joins Geoff to break down how AI, big data, quantum, and the wider “Fourth Industrial Revolution” are transforming jobs, workplaces, identity, culture, and society. From redefining long-held beliefs about “jobs for life,” to the cultural fractures emerging between companies, workers, and society, Dr. Anne-Marie goes deep on what’s changing, what still isn’t understood, and what leaders must do right now to avoid being left behind. This conversation dives into why most AI use cases are still limited to fraud detection and customer service, and the hidden cultural blockers preventing real transformation. She emphasizes the danger of hype cycles, and how to stay focused on real value and how to build organizations that can experiment, learn, and make “high-quality mistakes.”In this episode:00:00 Intro00:31 The Future of Work: What’s changing now02:32 Generational identity, legacy jobs & why work is no longer “for life”04:36 Work identity crisis & fragmentation of modern careers07:45 Rethinking digital transformation & the fourth industrial revolution11:36 Why the institute avoids the AI hype & looks beyond it13:39 AI Hype vs. reality17:50 High-quality mistakes21:06 Tech design failures23:18 Culture, customers & building organizations that reflect the real world29:04 Destroying the “Einstein Myth” & rewriting who tech is for39:37 First-principles thinking50:34 Norms, unintended consequences & system-level change55:32 When will the dust settle? ai timelines, disruption & what’s next57:28 Closing thoughtsConnect with Dr. Ann-Marie:LinkedIn: https://www.linkedin.com/in/aimafidon/Instagram: https://www.instagram.com/notyouraverageami/Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

When intelligence becomes abundant, what happens to humanity’s purpose?Andy Mills, the co-founder of The New York Times’ The Daily and creator of The Last Invention, joins us on this episode of Digital Disruption.Andy is a reporter, editor, podcast producer, and co-founder of Longview. His most recent series, The Last Invention, explores the AI revolution, from Alan Turing’s early ideas to today’s fierce debates between accelerationists, doomers, and those focused on building the technology safely. Before that, he co-created The Daily at The New York Times and produced acclaimed documentary series including Rabbit Hole, Caliphate, and The Witch Trials of J.K. Rowling. A former fundamentalist Christian from Louisiana and Illinois, Andy now champions curiosity, skepticism, and the transformative power of listening to people with different perspectives, values that shape his award-winning journalism across politics, terrorism, culture wars, technology, and science. Andy sits down with Geoff to break down the real debate shaping the future of AI. From the “doomers” warning of existential risk to the accelerationists racing toward AGI, Andy maps out the three major AI camps influencing policy, economics, and the future of human intelligence. This conversation explores why some researchers fear AGI, why others believe it will save humanity, how job loss and automation could reshape society, and why 2025 is becoming an “AI 101 moment” for the public. Andy also shares what he’s learned after years investigating OpenAI, Anthropic, xAI, and the people behind the AGI race. If you want clarity on AGI, existential risk, the future of work, and what it all means for humanity, this is an episode you won’t want to miss. In this episode:00:00 Intro01:00 The three camps of AI: doom, acceleration, scouts05:00 Why skeptics aren’t driving the AI debate07:00 Job loss, productivity & “good” vs. “bad” disruption09:00 Existential risk & why scientists are sounding alarms12:00 The origins of doomers and accelerationists17:00 How AI debates escalated after ChatGPT22:00 Why 2025 is an AI “101 moment” for the public24:00 The tech stack wars: OpenAI, Anthropic, xAI28:00 Why leaders joined the AI race30:00 The accelerationist mindset33:00 Contrarians, symbolists & the forgotten history of AI39:00 Big Tech, branding & why AI CEOs avoid open conflict42:00 The closed group chats of AI’s elite builders46:00 Sci-Fi narratives vs. real-world intelligence risks52:00 The AI bubble & why adoption is unlike any tech before01:00:00 Are we entering a wright-brothers-to-moon-landing era?01:10:00 What AGI means for capitalism, work & purpose01:18:00 Why public debate needs to start now01:20:00 What happens nextConnect with Andy:Website: https://www.andymills.work/aboutVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Are we chasing the wrong goal with Artificial General Intelligence, and missing the breakthroughs that matter nowOn this episode of Digital Disruption, we’re joined by former research director at Google and AI legend, Peter Norvig.Peter is an American computer scientist and a Distinguished Education Fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). He is also a researcher at Google, where he previously served as Director of Research and led the company’s core search algorithms group. Before joining Google, Norvig headed NASA Ames Research Center’s Computational Sciences Division, where he served as NASA’s senior computer scientist and received the NASA Exceptional Achievement Award in 2001.He is best known as the co-author, alongside Stuart J. Russell, of Artificial Intelligence: A Modern Approach — the world’s most widely used textbook in the field of artificial intelligence.Peter sits down with Geoff to separate facts from fiction about where AI is really headed. He explains why the hype around Artificial General Intelligence (AGI) misses the point, how today’s models are already “general,” and what truly matters most: making AI safer, more reliable, and human-centered. He discusses the rapid evolution of generative models, the risks of misinformation, AI safety, open-source regulation, and the balance between democratizing AI and containing powerful systems. This conversation explores the impact of AI on jobs, education, cybersecurity, and global inequality, and how organizations can adapt, not by chasing hype, but by aligning AI to business and societal goals. If you want to understand where AI actually stands, beyond the headlines, this is the conversation you need to hear. In this episode:00:00 Intro01:00 How AI evolved since Artificial Intelligence: A Modern Approach03:00 Is AGI already here? Norvig’s take on general intelligence06:00 The surprising progress in large language models08:00 Evolution vs. revolution10:00 Making AI safer and more reliable12:00 Lessons from social media and unintended consequences15:00 The real AI risks: misinformation and misuse18:00 Inside Stanford’s Human-Centered AI Institute20:00 Regulation, policy, and the role of government22:00 Why AI may need an Underwriters Laboratory moment24:00 Will there be one “winner” in the AI race?26:00 The open-source dilemma: freedom vs. safety28:00 Can AI improve cybersecurity more than it harms it?30:00 “Teach Yourself Programming in 10 Years” in the AI age33:00 The speed paradox: learning vs. automation36:00 How AI might (finally) change productivity38:00 Global economics, China, and leapfrog technologies42:00 The job market: faster disruption and inequality45:00 The social safety net and future of full-time work48:00 Winners, losers, and redistributing value in the AI era50:00 How CEOs should really approach AI strategy52:00 Why hiring a “PhD in AI” isn’t the answer54:00 The democratization of AI for small businesses56:00 The future of IT and enterprise functions57:00 Advice for staying relevant as a technologist59:00 A realistic optimism for AI’s futureConnect with Peter:LinkedIn: https://www.linkedin.com/in/pnorvig/Visit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Is “AI-first” the future of business or just another tech buzzword?On this episode of Digital Disruption, we’re joined by former Google Chief Decision Scientist and CEO of Kozyr, Cassie Kozyrkov.Cassie is best known for founding the field of Decision Intelligence and serving as Google’s first Chief Decision Scientist, where she helped lead the company’s AI-first transformation. A sought-after advisor and keynote speaker, Cassie has guided organizations including Gucci, NASA, Meta, Spotify, Salesforce, and GSK on AI strategy. She combines deep technical expertise with theater-trained charisma to make complex concepts engaging and actionable for executive and general audiences alike delighting audiences in over 40 countries across all seven continents, including stages at the UN, WEF, Web Summit, and SXSW.Cassie sits down with Geoff to unpack the hidden cost of the “AI-first” hype, the dangers of AI infrastructure debt, and why real AI readiness starts with people, not technology. She reveals how leaders can architect their organizations for innovation, build human-in-the-loop systems, and create cultures that embrace experimentation instead of fearing mistakes.Cassie exposes why 95% of organizations fail to achieve measurable ROI from AI and how leaders can finally bridge the AI value gap. This conversation dives into why AI success isn’t about tools, it’s about leadership, measurement, and mindset.Most organizations chasing “AI transformation” see no measurable ROI not because the technology fails, but because leaders are still measuring value the old way. Generative AI success is hard to quantify when there isn’t a single “right answer,” yet many businesses keep trying to apply outdated metrics to a completely new paradigm.In this video:00:00 Intro00:44 The Generative AI Value Gap: Why 95% get no ROI02:20 The paradox of AI productivity05:38 Why measuring AI value is harder than we think12:04 Leadership abdication: “Just sprinkle AI on everything”15:10 AI infrastructure debt explained20:17 What real AI readiness looks like (beyond tech)23:42 Humans as part of AI infrastructure28:00 Why “AI-first” isn’t one-size-fits-all33:31 Building human judgment into AI systems36:19 The risks of scaling too fast41:34 Automation vs augmentation: where leaders go wrong44:00 The “do the work” approach to AI success48:35 The recipe for an AI-ready organization53:40 Guardrails, governance, and security in AI systems57:00 Thinking probabilistically: a new mindset for leaders1:03:20 The human side of AI transformation1:06:45 Leading through uncertaintyConnect with Cassie:Website: https://www.kozyr.com/aboutLinkedIn: https://www.linkedin.com/in/kozyrkov/X: https://x.com/decisionleaderYouTube: https://www.youtube.com/c/KozyrkovVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Why is adaptability the real superpower for leaders in the digital age?On this episode of Digital Disruption, we’re joined by Erik Qualman, a digital leadership expert, best-selling author, and motivational speaker.Erik is a 5x #1 Bestselling Author and Keynote Speaker who has inspired audiences in over 55 countries and reached 50 million people. Voted the #2 Most Likeable Author in the World behind J.K. Rowling, his work Socialnomics has been featured on 60 Minutes, in The Wall Street Journal, and used by organizations from the National Guard to NASA. A professor of Digital Leadership at Northwestern University, Qualman’s research and courses are studied at 500+ universities worldwide. Through his animation studio, he has partnered with brands like Disney, Oreo, Chase, and Cartier. A former MIT and Harvard edX professor and honorary doctorate recipient, Qualman is also the creator of the bestselling board game Kittycorn.Erik joins Geoff Nielson to break down what it really means to be AI-ready. He reveals why the leaders who know how to leverage AI and adapt fast will replace those who don’t. He explains why AI is overhyped in the short term but underhyped in the long term, and how the most successful leaders of the next decade will blend Flintstones-level human connection with Jetsons-era innovation. Erik explains why adaptability and emotional intelligence (EQ) are the new competitive edge in the age of artificial intelligence. This conversation explores how AI can remove friction, save time, and ironically help us become more human, while also exploring the guardrails needed for responsible tech adoption. Erik also shares lessons from advising some of the world’s top brands including Facebook, Disney, and Sony and explains why the future favors those who fail fast, fail forward, and fail better.In this video:00:00 Intro02:00 The “Flintstones First” approach to digital leadership04:40 How AI helps us become more human06:15 Winners, losers, and adaptability in the AI era08:30 Emotional intelligence and leadership in a tech-driven world11:00 The need for guardrails in AI and social media13:00 Teaching AI and digital leadership at Northwestern15:00 How technology is transforming the classroom17:45 The 70/30 rule: what changes vs. what never will19:00 Core advice for leaders and digital innovators21:30 Avoiding hype: testing new tech like AI and Clubhouse23:00 Lessons from Montblanc and the origins of “Digital Leadership”25:00 The Disney+ story: digital transformation done right27:00 Building a culture of “fail fast, fail forward, fail better”30:00 Balancing the Flintstones and the JetsonsConnect with Erik:Website: https://equalman.com/LinkedIn: https://www.linkedin.com/in/qualman/X: https://x.com/equalmanYouTube: @equalmanVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Could AI’s biggest impact be economic, not technological?On this episode of Digital Disruption, we’re joined by the founder of EZPR and host of Better Offline podcast, Ed Zitron.Ed is a technology writer, public relations expert, and podcaster known for his critical takes on the tech industry and its biggest players. His work has appeared in leading outlets including The Atlantic, Business Insider, and TechCrunch. He is the author of the popular newsletter Where’s Your Ed At, launched in 2020, where he explores the intersection of technology, business, and culture. Ed also hosts the Better Offline podcast, delving into the realities of the tech industry and the ripple effects of the AI boom. With his candid insights and thoughtful commentary, Ed has become a trusted voice and sought-after speaker within the tech community. One of the most outspoken critics of the AI boom, Ed Zitron joins Geoff to cut through the noise and talk about the truth behind generative AI. Ed breaks down why he believes AI “doesn’t work,” what’s really driving the trillion-dollar hype, and why big tech, media, and investors may be steering straight into the next Enron moment. This conversation unpacks why large language models fall short, how Microsoft’s AI Copilot has failed to deliver, and how corporate opportunism and investor “vibes” are fueling one of the biggest speculative bubbles in tech history. They also explore the “Enron-like” risks in the AI hardware race, the potential fallout for retail investors and startups, and tackle one of tech’s most misunderstood narratives, the myth of AI-driven job loss, revealing who’s really being replaced. In this episode:00:00 Intro00:36 “AI doesn’t work”02:05 The limits of LLMs 04:33 Microsoft Copilot and the illusion of productivity07:05 The AI job myth: Who’s really being replaced?10:00 CEOs, opportunism, and the false narrative of AI efficiency12:00 The Salesforce example: Lies, hype, and failure to deliver14:00 What AI can actually do 18:00 The trust problem19:45 Media complacency and tech industry collusion22:00 Microsoft, Nvidia, and false growth25:00 The Enron parallels28:30 Why investors are rewarding bad behavior31:00 Who gets hurt when the AI bubble bursts? 35:00 Unsustainable startups and rising model costs38:00 The coming collapse of AI infrastructure40:00 What business leaders should do now to avoid being burned44:30 The harsh truth about ChatGPT49:00 What real innovation looks like: Batteries, EVs, AR, and more54:00 The future of work beyond AI hypeConnect with Ed:LinkedIn: https://www.linkedin.com/in/edzitron/X: https://x.com/edzitronInstagram: instagram.com/edzitronVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

Is the AI arms race between tech giants and nations pushing us toward a dangerous future?On this episode of Digital Disruption, we’re joined by the founder of SingularityNET and the pioneering mind behind the term Artificial General Intelligence (AGI), Dr. Ben Goertzel.Dr. Ben Goertzel is a leading figure in artificial intelligence, robotics, and computational finance. Holding a Ph.D. in Mathematics from Temple University, he has been a pioneer in advancing both the theory and practical applications of AI, particularly in the pursuit of artificial general intelligence (AGI) a term he helped popularize. He currently leads the SingularityNET Foundation, TrueAGI, the OpenCog Foundation, and the AGI Society, and has organized the Artificial General Intelligence Conference for over fifteen years. A co-founder and principal architect of OpenCog, an open-source project to build human-level AI, Dr. Goertzel’s work reflects a singular mission: to develop benevolent AGI that advances humanity’s collective good. Dr. Goertzel sits down with Geoff to share his insights on the accelerating progress toward AGI, what it truly means, and how it could reshape human life, work, and consciousness. He discusses the role of Big Tech in shaping AI’s direction and how corporate incentives, and commercialization are both driving innovation and limiting true AGI research. From DeepMind and OpenAI to decentralized AI networks, Dr. Goertzel reveals where the real breakthroughs might happen. The conversation also explores the ethics of AI, the dangers of fake democratization and false compassion, and why humanity must shape AI’s evolution with empathy and awareness.In this episode:00:00 Intro00:21 What is Artificial General Intelligence (AGI)?01:10 The pace of AI progress and the hype cycle05:44 The path from human-level AGI to superintelligence09:20 How close are we to AGI? 13:08 Transformer vs. multi-agent systems14:05 Which AI labs might strike AGI gold? (DeepMind, OpenAI, Anthropic)17:07 Big Tech’s innovator’s dilemma and why true AGI may come elsewhere20:20 Predictive coding22:59 Why Big Tech resists new AI training paradigms29:16 Imagining life after AGI: optimism, transhumanism, and choice33:29 Navigating the transition from AGI to ASI37:55 Decentralized vs. centralized control of AGI43:20 Who (or what) will be in control47:19 Risks of power concentration in early AGI development51:01 Who should own and guide AGI?53:06 Why we need participatory governance for intelligent systems54:47 The danger of fake compassion and false democratization1:00:50 Finding meaning in the age of intelligent machines1:04:13 How AGI could help humanity focus on inner growth1:07:20 – Learning how to learn: the last human advantageConnect with Dr. Goertzel:LinkedIn: https://www.linkedin.com/in/bengoertzel/X: https://x.com/bengoertzelVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

How are AI and automation shaping both the attack and defense sides of cybersecurity?On this episode of Digital Disruption, we’re joined by the founder and CEO of Have I Been Pwned, Troy Hunt.Troy Hunt is an Australian security researcher and the founder of the data breach notification service, Have I Been Pwned. With a background in software development specializing in information security, Troy is a regular conference speaker and trainer. He frequently appears in the media, collaborates with government and law enforcement agencies, and has appeared before the U.S. Congress as an expert witness on the impact of data breaches. Troy also serves as a Microsoft Regional Director (an honorary title) and regularly blogs at troyhunt.com from his home on Australia’s Gold Coast.Troy sits down with Geoff to share eye-opening insights on the evolving threat landscape of 2025 and beyond. Despite the rise of AI and automation, Troy emphasizes that many of today’s most damaging data breaches and ransomware attacks still stem from basic human error and social engineering. He explains how ransomware has shifted from encrypting files to threatening data disclosure, making it harder for organizations to manage risk and justify ransom payments. The conversation also touches on how breach fatigue and apathy have led many individuals and businesses to underestimate cybersecurity risks, even as incidents rise globally. He also highlights how AI tools are being weaponized by both defenders and attackers and argues that cybersecurity isn’t about perfect protection but about finding equilibrium: balancing usability, education, and risk mitigation.In this episode: 00:00 Intro01:15 Why human weakness beats AI02:00 Young hackers and the rise of scattered spider04:00 From hacktivists to career criminals05:00 Ransomware’s new tactics07:30 Should companies pay the ransom? 10:20 Can you ever be fully protected? Defense vs. response11:20 How to convince boards cybersecurity is worth the money14:20 Breach fatigue and public apathy18:00 Reframing what ‘sensitive data’ really means20:00 Passwords, reuse, and the real risk equation24:00 Biometrics, face ID & the future of authentication26:30 Threat Modeling 10127:30 Barriers to cyber preparedness29:30 How Have I Been Pwned works 32:00 The Future of Data Breaches38:00 Microsoft’s Role in the Security Ecosystem40:30 AI Hype vs. reality in cybersecurity43:00 When AI helps hackers 52:00 Why transparency still matters after every breach54:00 Accepting risk, building resilienceConnect with Troy:Website: https://www.troyhunt.com/LinkedIn: https://www.linkedin.com/in/troyhunt/X: https://x.com/troyhuntVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What does the future of digital experiences look like when AI, accessibility, and entrepreneurship collide?On this episode of Digital Disruption, we’re joined by serial tech entrepreneur, accessibility advocate, and co-founder of Global Accessibility Awareness Day (GAAD), Joe Devon.As Chair of the GAAD Foundation, Joe strives to disrupt the culture of technology and digital product development by embedding accessibility as a core requirement. Inspired by his 2011 blog post highlighting the need for mainstream accessibility knowledge among developers, GAAD has grown into an annual event observed on the third Thursday of May, promoting digital access and inclusion for over one billion people with disabilities worldwide. He also co-hosts the Accessibility and Gen.AI Podcast, exploring the intersection of accessibility and artificial intelligence.Joe sits down with Geoff to explore how AI startups are reshaping the digital landscape, from code accessibility to the rise of small business innovation. He shares the story of how one blog post led to a global accessibility movement, why AI-driven tools could either democratize or centralize technology, and how the entrepreneurial spirit will define the next decade. From robotics fused with large language models to AI coding assistants generating billions of lines of code, this conversation dives into the challenges, risks, and opportunities for entrepreneurs and digital leaders navigating this transformation.In this episode:00:00 Intro00:23 The “ChatGPT moment” for robotics01:23 The mission behind Global Accessibility Awareness Day02:29 How AI shifts the accessibility conversation03:08 Why accessibility matters for everyone06:17 Usability and empathy in digital product design12:28 How AI can unlock inclusion and personalization14:45 Aphantasia, hyperphantasia & diverse human abilities17:34 AI and the future of sign language translation19:23 How to work with disability communities23:59 Advice for leaders getting started with inclusive design25:13 AI coding tools revolutionizing software development29:27 Can AI accessibility become the new standard?30:06 How GAAD became a global movement35:24 Entrepreneurship vs. 9-to-5 in an AI-powered economy45:07 Lessons from the early internet and RSS’s decline47:04 The debate on Universal Basic Income (UBI)50:26 Joe’s father’s influence and the accessibility journey52:34 From a blog post to real change in banking57:13 The rise of AI influencers vs. the value of real humans58:36 Advice for those unsure about entrepreneurshipConnect with Joe:LinkedIn: https://www.linkedin.com/in/joedevon/X: https://x.com/joedevonVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG

What happens when AI becomes as good at thinking as humans and what skills remain uniquely ours?On this episode of Digital Disruption, we’re joined by Mike Bechtel, Chief Futurist at Deloitte.Mike began his career at Accenture Labs, where his team helped Fortune 500 clients put emerging technologies to profitable use. Twelve years and twelve U.S. patents later, he was named the firm’s first Global Innovation Director, tasked with creating the strategy, processes, and culture to foster company-wide intrapreneurship. At Deloitte, Mike and his team focus on making sense of what’s new and next in technology, with the goal of helping today’s leaders arrive at their preferred futures ahead of schedule. He also serves as an adjunct professor at the University of Notre Dame, where he teaches corporate innovation. In 2013, Mike co-founded and served as Managing Director of Ringleader Ventures, a venture capital firm investing in early-stage startups that had—intentionally or not—built simple solutions to complex corporate challenges.Mike sits down with Geoff to talk about the future of AI and what it means for our work, creativity, and humanity. He shares an optimistic vision of a world where automation elevates human potential, allowing people to focus on creativity, innovation, and connection. This conversation challenges how we think about AI, AI art, the future of work, and the role of human skills. Mike draws on his experience advising leaders and students to show how we can prepare for a future where AI isn’t just a tool but a partner in thinking. He shares insights on the ethical challenges of outsourcing thought, why intent matters in how organizations use AI, and why AI is less about replacing jobs and more about automating the “muck” so humans can focus on the magic. Mike also challenges us to consider: what happens to writing, philosophy, and ethics when machines can master technical tasks faster than ever?In this episode:00:00 Intro01:00 Why AI isn’t new (but why this moment matters)04:10 Automation as a Trojan Horse for elevation05:30 Best practices get automated, next practices get built09:50 Expertise vs. curiosity: Why human skills win15:00 From fear to opportunity17:00 What clients really want in the AI era19:20 Automating muck to unlock magic22:00 The revenge of the humanities & synthetic thinking23:00 Writing = thinking: Why we can’t outsource human thought36:15 Why people still matter42:00 Beyond AI: Blockchain, trust & cryptographic futures47:30 Deepfakes, truth, and the math we can trust1:05:50 The future of IT1:08:00 AI Reshaping corporate teams & skills1:14:40 Guidance for the next generation1:19:30 Staying ahead of AI1:21:45 Key takeawaysConnect with Mike:Website: https://mikebech.tel/bioLinkedIn: https://www.linkedin.com/in/mikebechtel/X: https://x.com/mikebechtelVisit our website: https://www.infotech.com/?utm_source=youtube&utm_medium=social&utm_campaign=podcastFollow us on YouTube: https://www.youtube.com/@InfoTechRG