The AI Why with Liam Lawson

The Pentagon just signed eight AI deals and left Anthropic out. Wall Street is helping both Claude and ChatGPT move deeper into companies. And Elon Musk went from calling Anthropic evil to powering it with his own data center. This week, the Pentagon clears eight major tech companies for classified military AI while Anthropic fights back in court, Anthropic and OpenAI both launch enterprise AI services businesses backed by Wall Street giants, GPT-5.5 Instant becomes ChatGPT's default model with significantly fewer hallucinations, Greg Brockman takes the witness stand in Elon Musk's lawsuit against OpenAI, and Anthropic signs a deal with SpaceX to use the Colossus 1 data center that Musk built for his own AI company. If you are a founder, operator or executive trying to keep up with AI, this is your weekly news briefing every Tuesday. Stories Covered This Week: The Pentagon signs AI agreements with Google, OpenAI, Microsoft, Nvidia, AWS, SpaceX, Oracle and Reflection while Anthropic fights to stay on the list Anthropic launches a $1.5B enterprise AI services company with Blackstone and Goldman Sachs while OpenAI finalizes a $10B joint venture called The Deployment Co GPT-5.5 Instant is now ChatGPT's default model, making 52.5% fewer errors on high stakes questions Greg Brockman testifies in Elon Musk's OpenAI lawsuit, revealing tense scenes from the company's early days Anthropic signs a deal with SpaceX to use Colossus 1, the data center Musk built for xAI, with talks of orbital AI infrastructure to follow Timestamps: 00:00 Intro 00:20 Pentagon signs eight AI deals, Anthropic left out 01:53 Anthropic and OpenAI launch enterprise AI services businesses 03:30 GPT-5.5 Instant becomes ChatGPT's default model 04:53 Greg Brockman testifies in Elon Musk's OpenAI lawsuit 06:23 Elon Musk goes from calling Anthropic evil to powering Claude 08:10: Outro Partner Links: Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices

22,000 LinkedIn followers to over 210,000 in just over a year. Charlie Hills did not get there by luck. He got there by reverse engineering what already works, posting with intention every single day, and building systems with AI that most people have not even heard of yet. In this second appearance on The AI Why, Liam Lawson sits down with Charlie Hills to break down exactly how he goes viral across LinkedIn, Instagram, and TikTok, what his full content creation process looks like with Claude, and why he just launched a SaaS tool built entirely from his own workflows inside Claude Code. Stories Covered This Week: The pre-validated content strategy that got Charlie 11 million views on his first Instagram reel The CHEF framework for creating content that does not sound like AI wrote it How Charlie uses Appify, Claude Code and Gemini together to reverse engineer viral content Why organic reach on LinkedIn is dying and what to do about it Claude Code for infographics, carousels, and eventually video editing from the terminal Vislo, the branded infographic SaaS tool Charlie just launched in public beta Pattern interrupts, B-roll clarity and what actually stops the scroll on Instagram Going from 9 to 5 employee to full time creator in nine months Episode timestamps: 00:00 Intro and follower count update 01:03 How Charlie goes viral on any platform 04:01 Steal Like an Artist and pre-validated content 04:53 What structure works on Instagram reels 07:36 Speaking coach, scripting and sounding human 09:06 The full LinkedIn content creation process 10:03 Posting cadence and why twice a day backfired 12:19 The CHEF framework explained 15:07 Appify, Claude Code and scraping for content research 17:04 Claude Co-Work scheduled tasks and workflows 20:22 Going deep into Claude Code for infographics 22:06 How Claude Code memory and the MD file works 24:41 Combining Gemini API inside Claude Code for Instagram scripts 26:53 Where AI ends and humans begin in the content process 30:36 Remotion and the future of AI video editing 33:33 Over-engineering with AI and why it is addictive 35:02 The story behind Vislo, the branded infographic SaaS 40:22 Beta feedback and pricing 42:01 Done For You vs SaaS customers 43:57 Expanding beyond LinkedIn to Instagram, TikTok and YouTube 47:12 What the ideal future of work looks like for Charlie 49:12 The Mexico LinkedIn creator house with Mischa and Corey 53:03 University, failed business and the nine month grind 01:00:01 Did not leave the nine to five to earn more, but to live more 01:00:55 Why do you do what you do? Partner Links Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices

Anthropic just passed OpenAI in revenue for the first time ever. Google signed a classified Pentagon deal and then invested $40 billion in the company it competes with. And OpenAI just put an expiry date on every custom GPT. This week, Google locks in a classified defense agreement as Anthropic gets cut out, Google commits $40 billion to its biggest AI rival, Meta posts its fastest growth since 2021 but still watches its stock fall, OpenAI shuts down custom GPTs in favour of autonomous Workspace Agents, and Anthropic overtakes OpenAI in annualized revenue at $30 billion. If you are a founder, operator or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday. Stories Covered This Week: Google signs a classified Pentagon agreement giving access to Gemini for sensitive defense work as Anthropic gets cut out Google announces plans to invest up to $40 billion in Anthropic despite competing directly with Claude Meta reports $56.3 billion in Q1 revenue, up 33% year over year, but stock falls 7% on AI spending concerns OpenAI introduces Workspace Agents and deprecates custom GPTs for business accounts by August 2026 Anthropic's annualized revenue hits $30 billion, passing OpenAI for the first time Episode timestamps: 00:00 Intro 00:20 Google signs classified Pentagon deal 01:10 Google invests $40 billion in Anthropic 02:00 Meta beats earnings but stock falls 02:50 OpenAI replaces custom GPTs with Workspace Agents 03:40 Anthropic passes OpenAI in revenue 04:30 Outro Partner Links Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices

The AI model that was too dangerous to release just got breached. Anthropic entered the design software market. And OpenAI dropped its biggest model yet, just six weeks after the last one. This week, the NSA is using Anthropic's Mythos despite the Pentagon blacklisting the company, Claude Design takes on Figma and sends its stock down 7%, Yelp transforms into an agentic consumer app, Mythos gets accessed by an unauthorized Discord group, and OpenAI fires back with GPT-5.5. If you are a founder, operator, or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday. Stories Covered This Week: NSA uses Anthropic's Mythos Preview despite the Pentagon declaring the company a supply chain risk Anthropic launches Claude Design, a prompt-to-prototype design tool that sent Figma stock down 7% Yelp's upgraded AI assistant can now book restaurants, doctors, and more in one conversation Anthropic investigates unauthorized access to Mythos through a third-party vendor environment OpenAI releases GPT-5.5, scoring 88.7% on SWE-bench with a 60% drop in hallucinations vs GPT-5.4 Episode Timestamps: 00:00 Intro 00:20 NSA uses Anthropic's Mythos despite Pentagon blacklist 01:10 Anthropic launches Claude Design 02:00 Yelp's AI assistant goes full service 02:50 Anthropic investigates Mythos breach 03:40 OpenAI drops GPT-5.5 04:30 Outro Partner Links Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: www.theaireport.ai/leaders-launch-guide Learn more about your ad choices. Visit megaphone.fm/adchoices

Two years ago, Mischa Collins was let go from her marketing manager role at a startup. After months of applying to jobs she was overqualified for and hearing nothing back, she decided to stop playing the victim and take control. She posted about her journey on LinkedIn. It went viral. Then she posted again. That went even more viral. From just two posts, she signed three clients and launched her career as a full-time LinkedIn creator. Today, Mischa has grown to over 50K followers in just 18 months, runs a ghostwriting agency, coaches founders on personal branding, and is currently living in a "LinkedIn Influencer House" in Mexico with business partners Corey Blumenfeld and Charlie Hills. In this conversation with Liam, she breaks down exactly what's working on LinkedIn right now, why the algorithm has shifted more in the past month than in her entire time posting, and the specific content formats (infographics and cheat sheets) that are massively outperforming everything else. She also shares the real numbers behind her content: how a single post with a text overlay hit 80,000 impressions while the same post without one got just 5,000. Key Topics Covered How getting fired became the best thing that ever happened to her career Going from fashion to tech sales to full-time LinkedIn creator The 2 LinkedIn posts that went viral and signed her first 3 clients Growing from 0 to 50K LinkedIn followers in 18 months Why the LinkedIn algorithm has shifted more in the past month than ever before Dwell time: the metric that matters most on LinkedIn right now Infographics vs lifestyle images: 80K impressions vs 5K from the same creator How to run a ghostwriting agency and what clients actually need Brand partnerships on LinkedIn: what makes a good campaign vs a bad one Platform dependence: why relying on one social platform is risky The "LinkedIn Influencer House" in Mexico with Corey Blumenfeld and Charlie Hills Building a personal brand while staying authentic Why rock bottom is the best place to build from Episode Timestamps 00:01 - Introduction and the LinkedIn Influencer House in Mexico 02:01 - Origin story: fashion to tech sales to LinkedIn 03:33 - How LinkedIn content landed her marketing manager role 05:02 - Getting let go and the two months of rejection 05:49 - The viral LinkedIn post that launched her solo career 08:00 - Growing to 50K followers: what worked 15:07 - What's working on LinkedIn right now (algorithm shift) 16:36 - The 80K vs 5K impressions experiment 17:41 - AI's impact on LinkedIn content creation 22:00 - Building a ghostwriting agency 27:00 - Niche vs expanding your content topics 31:55 - Platform dependence and branching to Instagram/TikTok 36:00 - The creator economy on LinkedIn 40:00 - Revenue streams: brand deals, coaching, ghostwriting, cohorts 47:03 - Breaking down her income sources 50:00 - Helping brands run better LinkedIn creator campaigns 55:00 - The future of personal branding 01:00:00 - Building a life on your own terms 01:10:34 - Why you don't need to stay in your lane 01:11:06 - Where to find Mischa Mischa's Socials: LinkedIn — https://www.linkedin.com/in/mischacollins/ Instagram — @mischabuildsbrands Partner Links Book Enterprise Training — https://www.upscaile.com/ Subscribe to our free newsletter — https://www.theaireport.ai/subscribe Get free AI resources: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH Learn more about your ad choices. Visit megaphone.fm/adchoices

$852 billion. That's what OpenAI is now worth, and its own investors are starting to question if that math adds up. This week, Anthropic's new model takes the coding crown from GPT-5.4, OpenAI's backers get cold feet, Snap cuts 1,000 jobs and points the finger at AI, twelve tech giants team up to secure the internet, and Nvidia writes a $5 billion check to its oldest rival. If you're a founder, operator, or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday. Stories Covered This Week: Claude Opus 4.7 hits 87.6% on SWE-bench Verified, beating GPT-5.4 and Gemini 3.1 Pro on coding OpenAI's $852B valuation faces scrutiny as Anthropic's revenue triples to $30B in one quarter Snap lays off 1,000 people (16% of staff), citing AI writing 65% of its code Anthropic launches Project Glasswing with Amazon, Apple, Microsoft, Google, Nvidia and 7 others Nvidia invests $5B in Intel, co-developing x86 chips built for its AI stack Timestamps: 00:00 Intro 00:31 Claude Opus 4.7 takes the coding crown 01:26 OpenAI investors get cold feet 02:18 Snap cuts 1,000 jobs, blames AI 02:56 Project Glasswing: Securing the world’s critical software 03:49 NVIDIA invests 5 billion into Intel 04:41 Outro Partner Links Book Enterprise Training: https://www.upscaile.com/ Subscribe to our free newsletter: https://www.theaireport.ai/subscribe Free AI Tool Stack: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Andrew Warner, founder of Mixergy, host of over 2,500 founder interviews, and creator of The Next New Thing, reveals why the most exciting business opportunity in AI right now isn't building another chatbot or SaaS tool. It's building for AI agents as customers. Andrew shares how one founder went from $3K to $70K/month by simply pivoting his social media tool to serve AI agents instead of humans, why Jason Fried at Basecamp is now adding agent-first features, and what this means for every entrepreneur and operator watching the AI wave. Andrew breaks down his own AI tech stack (Claude Code, VS Code, Atlas Browser, OpenClaw), why he keeps a separate laptop just for AI agent work, and the brutal honesty about how much time we're all spending "playing" with AI vs. actually building revenue-generating products. He and Liam go deep on the "SaaSpocalypse" debate, whether intelligence becoming a utility makes audience and distribution the only real moats, and why the agent-to-agent economy, where software sells to other software, might be the biggest shift since mobile. Key Topics Covered How Andrew built a $30M/year email newsletter business in his 20s and what he learned about monetization The origin story of Zapier: Andrew was their first paying customer before they even had a product Why AI's "shiny object syndrome" is the biggest trap for builders right now Andrew's daily AI tech stack: Claude Code, VS Code, Atlas Browser, Claude Desktop, and WhisperFlow How Postiz went from $3K to $70K/month by becoming the social media tool for AI agents The agent-to-agent economy: why your next best customer might not be human Is SaaS dead? Andrew's nuanced take after 2,500+ founder interviews Why audience and platform stickiness are the only real moats when intelligence becomes a utility Liam's Claude automation workflows: auto-generating guest research, marketing assets in 5 minutes Vibe video editing and the future of AI-powered content production Episode Timestamps 00:00 - Introduction and welcome 00:28 - Andrew's background: building a $30M email newsletter empire 02:00 - Selling the business in his mid-20s and traveling the world 06:19 - Starting Mixergy and doing 2,500+ founder interviews 09:39 - The founders Andrew admires most: Wade Foster and Zapier's origin story 12:07 - How solving problems for free changes your career 12:51 - AI's shiny object syndrome: building for fun vs. solving real problems 14:36 - Andrew's mission: helping AI builders find real revenue 17:45 - Andrew's AI tech stack: VS Code, Claude Code, Atlas Browser, WhisperFlow 22:32 - The ideal future of work with AI agents 24:31 - What's most impressive and most underwhelming about AI right now 25:20 - Building a social listening tool with AI 27:08 - The SaaSpocalypse debate: can you vibe-code your own tools? 36:12 - Postiz: from $3K to $70K/month by selling to AI agents 38:17 - The agent-to-agent marketplace future 40:06 - Liam's Claude automation: auto-generating guest research briefs 43:19 - Real-time AI workflows with WhisperFlow and Claude 48:02 - Why investing time in AI compounds exponentially 50:05 - Creating marketing assets in 5 minutes with Claude 51:27 - Vibe video editing: the next frontier for content creators 53:42 - Thought experiment: what's defensible when intelligence is a utility? 55:39 - The bread maker analogy: why SaaS won't actually die 58:01 - What makes software defensible: switching costs and stickiness 01:00:47 - Postiz deep-dive: the agentic social media scheduling tool 01:03:26 - Agent-first businesses: newsletters, chat apps, and tools built for agents 01:08:51 - Where to find Andrew and closing thoughts Andrew's Socials: LinkedIn — https://www.linkedin.com/in/andrewwarner/ Website — https://thenextnewthing.ai Partner Links Book Enterprise Training — https://www.upscaile.com/ Subscribe to our free newsletter — https://www.theaireport.ai/subscribe Get free AI resources: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH Learn more about your ad choices. Visit megaphone.fm/adchoices

$1.75 trillion SpaceX IPO, Meta's closed-source Muse Spark, Anthropic's restricted Claude Mythos, OpenAI's four-day work week proposal, and Google's open-source Gemma 4. This week, the biggest companies in AI are making very different bets on power, access, and what happens next. AI News in 5 is your fast, no-fluff weekly AI news roundup for founders, operators, and executives who need to stay current. Every Tuesday, in 5 minutes. Stories Covered This Week: Meta launches Muse Spark, its first closed-source AI model under Alexandr Wang's $14B deal Anthropic restricts Claude Mythos to 50 partners via Project Glasswing over cybersecurity concerns OpenAI publishes 13-page policy calling for 32-hour work weeks and a "robot tax" SpaceX files for $1.75T IPO after $1.25T merger with xAI to build orbital data centers Google releases Gemma 4, open-source models running on a single laptop Timestamps: 00:00 Intro 00:25 Meta launches Muse Spark, goes closed-source 01:15 Anthropic holds back Claude Mythos over hacking risks 02:10 OpenAI proposes four-day work week and robot tax 03:05 SpaceX files for $1.75 trillion IPO 03:55 Google releases Gemma 4 open-source 04:45 Outro Partner Links Book Enterprise Training: https://www.upscaile.com/ Subscribe to our free newsletter: https://www.theaireport.ai/subscribe Free AI Tool Stack: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Yasmeen Ahmad, Managing Director of Product Management for Data & AI Cloud at Google Cloud, reveals why 80–90% of enterprise data is "dark" and untouched — and how Google Cloud is building the tools to finally unlock it. Yasmeen shares how BigQuery's new Knowledge Engine captures the invisible business context that human analysts have always carried in their heads, and why this semantic layer is the real unlock for enterprise AI in 2026. Yasmeen breaks down how enterprises are scaling from 50 to 2,000 autonomous AI agents, why continuous evaluation (not unit testing) is the only way to keep agents trustworthy, and what Google learned from seeing 50% of its own code now written by AI. She also explains why 95% of AI pilots produce zero measurable ROI — and why companies that partner with a platform like Google Cloud see dramatically different results. Plus, her contrarian take on governance: it's not the brake, it's what lets you drive 150 mph into the bend with confidence. Key Topics Covered Why 80–90% of enterprise data is "dark" unstructured data that GenAI can finally unlock How BigQuery's Knowledge Engine captures the invisible business context analysts carry in their heads The semantic layer: why the next big unlock is context, not just more powerful models How enterprises are scaling from 50 to 2,000 autonomous AI agents Intent-driven agentic AI: giving agents outcomes instead of step-by-step instructions Why continuous evaluation is replacing traditional unit testing for AI agents Google's internal AI adoption: 50% of code written by AI, 10% engineering efficiency gains Why 95% of AI pilots produce zero ROI and what changes that outcome AI governance as an accelerator — the "brakes that let you drive 150 mph" framework Why culture and founder mentality matter more than technology budget for AI success Episode Timestamps 00:00 - Introduction and welcome 00:50 - Being Scottish in Silicon Valley and the power of community 03:13 - The career thread: curiosity, pivots, and getting outside your comfort zone 06:20 - What makes data fascinating: the hidden stories inside numbers 07:48 - Why data is the lifeblood of enterprise AI 10:19 - 80–90% of enterprise data is "dark" and untouched 12:59 - What BigQuery actually does (explained simply) 14:50 - The invisible work: knowledge layers and business semantics 17:38 - The agentic AI moment: agents that think, plan, and execute 20:41 - From 50 to 2,000 autonomous agents inside enterprises 22:07 - Why you can't evaluate AI agents like traditional software 25:46 - Signals of AI readiness: Google's 50% AI-written code and Honeywell's 30% efficiency gains 30:21 - Why 95% of AI pilots produce zero ROI 35:37 - Governance as a speed accelerator, not a brake 39:53 - Who's best poised to win: culture over budget 45:59 - Why do you do what you do? Yasmeen's Socials: LinkedIn — https://www.linkedin.com/in/yasmeenahmaduk/ Partner Links Book Enterprise Training — https://www.upscaile.com/ Subscribe to our free newsletter — https://www.theaireport.ai/subscribe Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, we break down the "Agentic Brain" — the architecture behind AI agents that can think, plan, and execute multi-step workflows with minimal human oversight — and why the agentic AI market is about to explode from $7.8 billion to over $52 billion by 2030. We reveal how the smartest enterprises are already deploying autonomous agents that handle everything from customer service to internal operations, and why only 14% of companies have production-ready agentic solutions despite all the hype. We go deep on what "bounded autonomy" actually means in practice, how multi-agent systems work (inquiries surged 1,445% in just one year), and why Gartner predicts 40% of enterprise apps will embed AI agents by the end of 2026. We also cover the real-world examples of companies using agents to handle 80% of customer service autonomously, the difference between "agentic AI" and a chatbot with extra steps, and what operators and executives need to understand before deploying agents inside their organizations. Key Topics Covered What the "Agentic Brain" is and how it differs from traditional chatbots and copilots Why the agentic AI market is projected to grow from $7.8 billion to $52 billion by 2030 How multi-agent systems work: planning, reasoning, tool use, and memory Why only 14% of companies have production-ready agentic solutions despite massive investment The concept of "bounded autonomy" and why it matters for enterprise deployments How some companies are already using AI agents to handle 80% of customer service autonomously Why multi-agent system inquiries surged 1,445% in one year Gartner's prediction that 40% of enterprise apps will embed AI agents by end of 2026 The difference between real agentic AI and hype — how to tell what's actually production-ready What executives and operators need to know before deploying AI agents in their organizations Episode Timestamps 00:00 - Introduction and meet the Agentic Brain team 00:39 - Today's agenda: three practical AI agents 01:09 - Agent 1: Personalized learning agent 03:05 - How the learning agent works 09:25 - Live demo: testing the learning agent 16:50 - Future of personalized learning with AI 24:51 - Agent 2: Sales analysis agent 28:31 - Demo: Sales performance dashboard 32:41 - Call quality and feedback analysis 46:18 - Real-world impact: proactive team management 49:26 - Agent 3: Customer service agent 50:52 - Multi-agent systems and scaling 78:55 - Closing remarks and thanks Partner Links Work with Agentic Brain — https://cal.com/forms/44f75adf-4741-4c5e-88d5-3249592ada99 Book Enterprise Training — https://www.upscaile.com/ Subscribe to our free newsletter — https://www.theaireport.ai/subscribe Learn more about your ad choices. Visit megaphone.fm/adchoices

This week on AI News in 5: OpenAI kills Sora just six months after launch — blindsiding Disney and losing a billion-dollar deal. Amazon drops $50 billion on OpenAI, putting Microsoft on the warpath. Apple dumps OpenAI and partners with Google to rebuild Siri. OpenClaw becomes the fastest-growing open-source project in history. And a hacker infects a popular AI tool downloaded 3.4 million times a day. Subscribe to our free newsletter — https://www.theaireport.ai/subscribe AI training for your team — https://www.upscaile.com/ Connect with Liam — https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/ Get free AI resources: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH About The AI Why with Liam Lawson: The AI Why breaks down what's actually happening in AI — who's building it, how it's being implemented at scale, and why the people building it do what they do. New episodes every Tuesday (AI News in 5) and Thursday (founder and exec interviews). Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Brian Alvey, CTO of WordPress VIP (Automattic's enterprise platform), reveals how the platform powering NASA, CBS, NBCUniversal, Rolling Stone, Samsung, and the White House is integrating AI into enterprise publishing at massive scale. Brian shares how he's built over 24 content management platforms throughout his career — and why the current AI moment is the most transformative shift he's ever seen in publishing technology. Brian breaks down how WordPress VIP is embedding AI into tools like Parse.ly to give editors conversational content insights, how their AI-powered "editorial recipes" turn hours of manual headline testing and cross-linking into minutes, and how a new tool called Tollbit lets publishers actually charge AI crawlers for accessing their content. He also shares his philosophy on keeping humans in the loop at enterprise scale, how 200-person newsrooms and 11,000-contributor content teams are navigating AI adoption, and why the open web matters more than ever when everyone's fighting for attention in an AI-first world. Key Topics Covered How WordPress VIP powers mission-critical content for NASA, CBS, the White House, and hundreds of enterprise brands Brian's journey building 24+ content management platforms and what he's learned about great CMS architecture How WordPress VIP takes open-source WordPress and locks it down with enterprise governance for massive newsrooms The AI tools WordPress VIP is building: conversational analytics, headline testing, engagement optimization, and automated cross-linking How Tollbit lets publishers charge AI companies for crawling their content — a new revenue stream for media What "human in the loop" actually means when you're managing 11,000 contributors The Agentforce integration with Salesforce: bringing AI-powered chat and lead generation directly into WordPress sites Why the open web still matters in the age of AI and how publishers are fighting back How enterprise publishing teams are adopting AI without sacrificing editorial quality Brian's honest take on where AI helps editors vs. where it still falls short Episode Timestamps 00:00 - Introduction and welcome 00:35 - Brian's career building publishing platforms before Google existed 03:22 - AI as an equalizing paradigm shift 07:20 - Generalist superpower: bridging art and science 09:46 - Human skills vs AI: lessons from The Founder 13:36 - Career advice for his kids in the AI era 16:01 - WordPress VIP and enterprise publishing at scale 18:28 - Core mission: speed and stability without breaking things 23:06 - AI content intelligence tools and MCP adapters 28:39 - Media business fundamentals: attention and monetization 35:27 - Customer segments and AI crawler strategies 40:12 - Trust and credibility in the AI-generated content era 44:25 - From competing against WordPress to leading it 48:15 - Obsession with automation and future of work 51:51 - Building products in days with AI tools like Claude 56:47 - What truly drives him 58:40 - Closing and where to find Brian Brian's Socials: LinkedIn — https://www.linkedin.com/in/brianalvey/ Website — https://brianalvey.com Partner Links Book Enterprise Training — https://www.upscaile.com/ Subscribe to our free newsletter — https://www.theaireport.ai/subscribe Learn more about your ad choices. Visit megaphone.fm/adchoices

Apple confirms Google Gemini will power the new Siri — dropping OpenAI as the default on a billion devices. GPT-5.4 Thinking becomes the first AI to beat the human baseline at navigating a computer. Yann LeCun raises $1.03B in the largest seed round in European history to build a new kind of AI. Robotics companies pull in $1.2B in a single week. And the U.S. Department of Energy puts $293M behind AI for national challenges. Partner Links Book Enterprise AI Training — https://www.upscaile.com/ Subscribe to our free newsletter — https://www.theaireport.ai/subscribe Get our free AI resource pack — https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH Connect with Liam — https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/ About The AI Why: The AI Why breaks down what's actually happening in AI — who's building it, how it's being deployed, and why the people building it do what they do. New episodes every Tuesday (AI News in 5) and Thursday (founder and exec interviews). Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Michael J. Domanic, VP and Head of AI at UserTesting, reveals how he drove 70%+ weekly AI adoption across the entire company — turning UserTesting into one of the most AI-mature enterprises in the market. Michael shares why most enterprise AI rollouts fail, and the exact playbook he used to get hundreds of employees building custom GPTs and integrating AI into their daily workflows.Michael breaks down how UserTesting moved from Phase 1 (culture change and grassroots adoption) to Phase 2 (agent orchestration and scaled automation), how he built the governance frameworks that let teams experiment safely without creating chaos, and why the companies that treat AI adoption as a culture problem — not a technology problem — are the ones winning. He also shares his honest take on why AI projects consistently miss expectations and what leaders need to do differently in 2026.Key Topics Covered- How UserTesting achieved 70%+ weekly AI adoption across the entire organization- Why most enterprise AI projects fail to meet expectations — and the root causes leaders miss- How employees built hundreds of custom GPTs for internal workflows without a top-down mandate- The Phase 1 to Phase 2 transition: from culture change to agent orchestration- Building AI governance frameworks that enable experimentation without creating risk- Why treating AI adoption as a culture problem (not a tech problem) is the key to success- How to get executive buy-in for enterprise-wide AI transformation- What "AI maturity" actually looks like inside a real company- Michael's predictions for how agentic AI will reshape enterprise operations- The skills leaders need to drive AI adoption in their organizations*Episode Timestamps*00:00 - Introduction and welcome01:31 - Michael's career background and life journey08:08 - Why AI transformation is about creativity, not technology10:43 - Hiring the right AI transformation leaders14:07 - Building Centers of Excellence for AI17:36 - What UserTesting does and Michael's role32:55 - Achieving 70%+ AI adoption across the company35:41 - How employees built hundreds of custom GPTs39:16 - OKR methodology and governance frameworks43:50 - Creativity as the fundamental skill for future work48:39 - Phase 2: Agent orchestration and advanced AI56:46 - Outlook: Optimism about AI's future impact59:27 - Closing: How honest conversations drive progressMichael's Socials:LinkedIn — https://www.linkedin.com/in/michaeldomanic/Partner LinksBook Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://newsletter.theaireport.ai/subscribe Learn more about your ad choices. Visit megaphone.fm/adchoices

This week: OpenAI's Pentagon deal sparked the #QuitGPT movement with 2.5 million supporters, Anthropic got labeled a supply-chain risk by the DOD, AI-driven layoffs hit Oracle and Block hard, NVIDIA teased its biggest GTC yet, and Apple revealed a $599 AI laptop. Key Topics Covered OpenAI's classified Pentagon deal sparks #QuitGPT revolt with 2.5M supporters and 295% surge in ChatGPT uninstalls Pentagon labels Anthropic a supply-chain risk; OpenAI and Google employees rally behind Anthropic in court Oracle eyes 30,000 layoffs and Block cuts 40% of workforce as AI replaces jobs at scale NVIDIA GTC 2026 preview: $26B open-source investment, new inference chip, and enterprise AI platform expected Apple announces rebuilt Siri with Google Gemini and the $599 MacBook Neo AI laptop Episode Timestamps 00:00 — OpenAI's Pentagon Deal and the #QuitGPT Revolt 01:00 — Pentagon vs. Anthropic: The Supply-Chain Risk Showdown 02:00 — AI Layoffs Hit Oracle, Block, and Atlassian 03:00 — NVIDIA GTC 2026: The Super Bowl of AI 04:00 — Apple's Mass-Market AI Play About The AI Why The AI Why with Liam Lawson covers enterprise AI — how it's being implemented at scale, and why the people building it do what they do. New episodes every Tuesday (weekly news in 5 minutes) and Thursday (hour-long interviews with founders and C-suite execs). Our Links Free Newsletter — https://newsletter.theaireport.ai/subscribe Website — https://www.theaireport.ai Liam's LinkedIn — https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/ Book Enterprise Training — https://www.upscaile.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

How Coursera's VP of Enterprise Is Reskilling 7,000+ Organizations with AI — Anthony Salcito on the 234% GenAI Enrollment Surge, Verified Skills Paths, and the Human Side of AI Transformation Anthony Salcito is the Vice President of Enterprise at Coursera, where he leads a $255.3 million enterprise business partnering with over 7,000 organizations globally. In this episode, Anthony breaks down why GenAI enrollments on Coursera have surged 234% year over year, why 84% of leaders plan to increase AI investment while only 38% say their teams are ready, and what it actually takes to build AI skills that stick inside an organization. From his 20+ years leading Microsoft's global education efforts to his work at Nerdy and Varsity Tutors, Anthony shares his framework for human-first AI transformation. He explains how Coursera is using AI-powered coaching, role play simulations, verified skills paths, and Course Builder to close the enterprise AI skills gap — and why critical thinking, not just prompt engineering, is the skill that matters most. Key Topics Covered: The 234% year-over-year surge in GenAI enrollments on Coursera and what is driving global demand Why 84% of leaders plan to increase AI investment but only 38% say their teams are ready Coursera's verified skills paths and how they provide stackable, demonstrable AI credentials The role of AI-powered Coach in improving course completion — 94% report improved experience, 9.5% higher quiz pass rate How Course Builder lets enterprises customize world-class AI content from Google, Anthropic, and Microsoft for their specific business context Why critical thinking enrollments grew 185% alongside technical AI skills The four phases of technology adoption: displacement fear, skills erosion, complacency, and true transformation How gamification and role play simulations make enterprise AI learning stick Coursera's integration with ChatGPT and the future of learning in the flow of work Why the shift from "4 years for 40 years" to "40 for 4" demands lifelong micro-credentialing Episode Timestamps: 00:00 - Introduction and Anthony Salcito's background 01:42 - Growing up in the Bronx and how technology became a catalyst 04:10 - Teaching Girl Scouts Visual Basic in 1995 and the education spark 06:18 - The through line from Microsoft to Nerdy to Coursera Enterprise 08:24 - Walking into Coursera's $239M enterprise business — what surprised him 11:22 - 234% GenAI enrollment growth and 15 enrollments per minute 13:57 - Verified skills paths and proving AI competency beyond course completions 16:19 - Why critical thinking grew 185% and how schools need to change 20:41 - Hard skills vs. soft skills and the competency-based education gap 23:58 - What makes AI learning stick: personalization, mixed modality, and Coach 27:40 - Coach results: 94% improved experience and the power of gamification 31:55 - Live role play: pitching AI reskilling to a 1,000-person construction company 36:24 - The four phases of technology adoption and why complacency is the biggest threat 40:25 - Human-first AI transformation and why people-centric companies win 43:39 - How Coursera keeps up with fast-moving AI content creators 46:20 - The 3-5 year vision: micro-credentials, learning in the flow of work, and ChatGPT integration 50:55 - Why Anthony does what he does About Anthony Salcito Anthony Salcito is the Vice President of Enterprise at Coursera, where he leads the company's enterprise business serving over 7,000 organizations worldwide. Before joining Coursera, Anthony spent 20+ years at Microsoft leading global education efforts, visiting over 80 countries and nearly 3,000 classrooms. He also served in leadership roles at Nerdy and Varsity Tutors and chairs the nonprofit Network for Teaching Entrepreneurship. Learn more about your ad choices. Visit megaphone.fm/adchoices

Stripe Solves AI Billing, Nvidia's $30B OpenAI Exit, GPT 5.4 Launches with Computer Use, and OpenAI's Safety Reckoning This week on AI News in 5 by The AI Report, Liam Lawson breaks down four major stories reshaping the AI industry. From Stripe's new billing infrastructure for AI companies to Nvidia's $30 billion investment in OpenAI that may be its last, GPT 5.4 beating 83% of industry professionals, and OpenAI facing a safety crisis after failing to alert law enforcement about a dangerous user. These stories signal a shift in how AI companies monetize products, how the biggest AI labs will fund themselves through public markets, and what safety obligations come with deploying AI at scale. Whether you are building AI products, investing in the space, or deploying enterprise AI, this episode covers the developments you need to know. Key Topics Covered Stripe's new AI billing feature that passes through LLM token costs to customers with automatic markup How Stripe's tool integrates with third-party gateways like Vercel and OpenRouter Nvidia's $30 billion investment in OpenAI as part of the $110 billion funding round Why Jensen Huang says the private mega-deal era for AI labs is ending OpenAI's $730 billion valuation and the path to IPO alongside Anthropic GPT 5.4's native computer use capabilities and 1 million token context window GPT 5.4 benchmark results showing 83% outperformance versus industry professionals 33% reduction in factual errors and 47% token savings in tool-heavy workflows OpenAI's safety crisis after flagging a dangerous user but never contacting law enforcement Sam Altman's pledge to overhaul safety protocols including a direct contact line for Canadian police Episode Timestamps 00:00 - Introduction to AI News in 5 01:08 - Stripe solves AI's biggest billing problem 02:12 - How 30% automated markup works for agentic workflows 02:40 - Why unpredictable token costs threaten AI margins 03:17 - Stripe launches its own multi-model gateway 03:49 - Nvidia's $30 billion OpenAI investment may be its last 04:32 - OpenAI and Anthropic gear up for IPOs 04:57 - Inside OpenAI's $110 billion funding round and $730 billion valuation 05:57 - GPT 5.4 launches with native computer use 06:54 - GPT 5.4 benchmarks crush 83% of industry professionals 08:55 - OpenAI flagged a dangerous user but never called police 09:46 - Sam Altman pledges safety protocol overhaul 10:34 - When does a safety flag become a legal obligation Resources Mentioned Stripe AI billing and cost pass-through feature Vercel and OpenRouter third-party gateway integrations Nvidia Vera Rubin inference and training systems OpenAI GPT 5.4 with native computer use ChatGPT, Codex, and OpenAI API ChatGPT for Excel add-on Morgan Stanley conference (Jensen Huang keynote) Partner Links Book Enterprise Training — https://www.upscaile.com/ Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube #AINews #GPT5 #OpenAI #Nvidia #Stripe #AIBilling #JensenHuang #SamAltman #EnterpriseAI #AISafety #AIAgents #ComputerUse #LLM #AIInfrastructure #TokenCosts Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Christian Lund, Co-Founder of Templafy, reveals how the company built an AI-powered instruction and orchestration layer that helps over 800 enterprise customers — including KPMG, IKEA, and BDO — generate millions of compliant, on-brand business documents 100x faster. Christian shares why the real defensibility in AI isn't the model itself, but the mid-layer that tells the model exactly what to do. Christian breaks down how Templafy turns a simple 8-word user prompt into a 30-page AI instruction book, how their orchestration layer ensures consistent, high-quality outputs across millions of documents, and why enterprises that tried to build AI solutions internally ended up coming back to purpose-built tools. He also shares his honest take on whether AI is a force for good, what skills knowledge workers need to survive, and what he's teaching his three kids about working in an AI-first world. Key Topics Covered - How Templafy's AI instruction layer turns 8-word prompts into 30-page agent briefs - Why the orchestration mid-layer between users and AI models is the most defensible position in enterprise tech - How a Big Four accounting firm became Templafy's very first customer - The transition from rules-based automation to AI-first document generation with agents - Why enterprises took surprisingly long to move from AI toys to enterprise-grade tools - How Templafy integrates with Microsoft 365, Salesforce, and Copilot without getting swallowed by the SaaSpocalypse - The only 2 skills knowledge workers need to stay relevant: setting direction and validating output - Why brand and thought leadership are more important than ever for SaaS companies in 2026 - How BDO Canada saved $1.65 million in one year using Templafy's document automation - Christian's investor perspective on VC moonshots vs. real businesses that generate EBITDA **Episode Timestamps** 00:00 - Introduction and what problem Templafy solves 02:01 - The origin story: from consultants with no product to enterprise SaaS 04:18 - Why finance, law, and pharma became the core customer segment 05:41 - How a Big Four firm became the first customer during the cloud transition 09:02 - What makes a company good at adopting new technology 11:00 - How Templafy sits on top of Microsoft 365, Salesforce, and Copilot 11:37 - Surviving the SaaSpocalypse and finding the new world order 17:08 - Growth in the AI era and why enterprise demand took longer than expected 21:16 - Inside the boardroom: where Templafy fits in the AI landscape 23:31 - The recipe vs. cookbook analogy: how instruction books power AI agents 28:38 - How to become defensible when every company has the same AI models 31:58 - Why humans are more important than ever in enterprise sales 35:11 - The only 2 skills left for knowledge workers 35:52 - Educating children in the age of AI 40:01 - Christian's journey from CEO to CPO to CMO to co-founder 41:17 - Why brand and trust are hyper important in 2026 45:11 - B2B vs. B2C: Templafy's enterprise focus and how it compares to Gamma 49:21 - Christian evaluates the podcast's business model as an investor 54:57 - Is AI a force for good? Christian's honest answer 57:32 - Why do you do what you do? Christian's Socials: LinkedIn — https://www.linkedin.com/in/christianlundcph/ Partner Links Book Enterprise Training — https://www.upscaile.com/ Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube Learn more about your ad choices. Visit megaphone.fm/adchoices

OpenAI just raised $110 billion — the largest funding round in Silicon Valley history. Meanwhile, the Pentagon is threatening to blacklist Anthropic over AI safety limits. This is the biggest week in AI news — here's everything you need to know.In this episode of The AI Report Podcast, we break down the 5 biggest AI stories from the week of February 23–27, 2026:🏛️ Pentagon vs. Anthropic — Defense Secretary Hegseth demands Anthropic remove safety guardrails from Claude or face a $200M contract cancellation and federal blacklisting💻 Perplexity Computer — A new AI agent system that orchestrates 19 models to execute complex tasks end-to-end📱 Samsung Galaxy S26 — Samsung's most AI-forward phone yet, featuring proactive AI nudges and built-in agents from Bixby, Gemini, and Perplexity🤝 Meta x AMD $60B Deal — Meta diversifies away from Nvidia with a massive 6-gigawatt AI chip agreement💰 OpenAI's $110B Round — SoftBank, Nvidia, and Amazon back the largest private funding round ever⏱️ Timestamps:0:00 – Introduction0:15 – Pentagon threatens to blacklist Anthropic1:20 – Perplexity launches Computer2:25 – Samsung unveils Galaxy S26 AI features3:30 – Meta and AMD sign $60 billion chip deal4:35 – OpenAI raises $110 billion5:40 – Closing📩 Subscribe to The AI Report newsletter for daily AI news: https://newsletter.theaireport.ai/subscribeGet Enterprise Training — upscaile.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Upscaile Partnered with Stanford to Teach a 90-Minute AI for Creativity Masterclass — From Prompting Fundamentals to Full AI Short Film ProductionIn this full Stanford class recording, Arturo Ferreira walks students through the complete creative AI workflow — from foundational prompting techniques to producing a short sci-fi film using only AI tools. The session covers everything from how tokenization and probability engines actually work to building consistent characters and visual styles across an entire production.Arturo demonstrates how he created a multi-character, fully narrated sci-fi short film in just 48 hours using ChatGPT, Sora, Runway ML, 11 Labs, and Final Cut Pro. Students follow along with hands-on exercises, learning the exact prompting frameworks used to go from basic one-line prompts to production-quality AI video output.Key Topics CoveredThe difference between artificial intelligence, machine learning, deep learning, and generative AIWhy AI is a probability engine, not a thinking machine, and why that matters for promptingThree pillars of effective prompting: clarity, context, and specificityHow tokenization works (word-based, character-based, and phrase-based)Using temperature settings to control AI creativity and determinismHashtag prompting technique to create signposts and organize complex promptsRetrieval Augmented Generation (RAG) for uploading references and refining outputTree of Thought technique for generating multiple creative options simultaneouslyCharacter Lock, Style Lock, and Camera Controls for visual consistency across scenesBuilding a complete AI short film workflow from storyboard to final edit in 48 hoursEpisode Timestamps00:00 - Introduction and course overview at Stanford04:18 - How smart is AI? Why AI is fast, not smart06:20 - Tokenization explained: word-based, character-based, phrase-based07:40 - Hallucinations are a feature, not a bug09:59 - Three pillars of prompting: clarity, context, specificity16:41 - Temperature settings for controlling AI creativity21:46 - Retrieval Augmented Generation (RAG) explained27:00 - Hashtag prompting technique for advanced prompt organization32:52 - Tree of Thought technique for multiple creative solutions38:23 - Hands-on with Sora: creating AI video from prompts52:56 - Hashtag prompting vs basic prompting: side-by-side video comparison1:02:37 - Full AI short film reveal: 48-hour sci-fi production1:05:15 - Character Lock, Style Lock, and Camera Controls1:18:46 - Runway ML workflow for reference-shot-to-video production1:19:31 - Using 11 Labs for AI audio and sound effects1:23:09 - System prompts, custom instructions, and persistent memoryAbout Liam LawsonArturo Ferriera is an AI educator and creative technologist who teaches enterprise-level AI training and creative AI workshops. He partnered with Stanford to deliver this masterclass on AI for creativity, covering prompting fundamentals through advanced AI filmmaking techniques. Liam specializes in making generative AI accessible for creative professionals at all skill levels.About UpscaileUpscaile delivers enterprise AI training designed to help teams integrate generative AI into their creative and professional workflows. The company partners with leading institutions like Stanford to provide hands-on AI education that bridges the gap between technical capability and practical creative application.Resources MentionedChatGPT (OpenAI)Sora by OpenAIRunway ML11 LabsFinal Cut Pro / iMovie / Adobe PremiereTree of Thought and Chain of Thought prompting techniquesRetrieval Augmented Generation (RAG)Partner LinksBook Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube#AIFilmmaking #StanfordAI #GenerativeAI #AIforCreatives #PromptEngineering #ChatGPT #Sora #RunwayML #ElevenLabs #AIVideo #AICreativity #AITools #AITraining #Upscaile #ContentCreation Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Peter Swartz, Co-Founder and Chief Science Officer at Altana, reveals how the company's AI-powered supply chain knowledge graph has helped stop hundreds of millions of dollars in forced labor goods from crossing borders and contributed to some of the largest counter-narcotics seizures in investigators' careers. Peter shares the real-world impact Altana is making across both the public and private sectors.Peter breaks down how Altana's multi-tier supply chain visibility works to trace forced labor cotton through global networks, how dual-use chemicals are being diverted into fentanyl production, and how the platform helps governments and enterprises collaborate to avoid billions of dollars in trade disruptions while saving hundreds of millions in tariff fees.Key Topics Covered- How Altana blocked hundreds of millions of dollars in forced labor goods at U.S. borders- The role of AI knowledge graphs in mapping multi-tier global supply chains- How Altana supports CBP enforcement of the Uyghur Forced Labor Prevention Act- Product passports and how they expedite legitimate goods through customs- The difference between forced labor entering legit supply chains vs. legit goods entering illicit ones- How logistics companies use Altana to prevent their networks from being misused- Proactive vs. reactive approaches to supply chain risk using probabilistic AI models- Scenario modeling for geopolitical disruptions including Taiwan and global conflicts- Saving billions in supply chain disruptions and hundreds of millions in tariff feesEpisode Timestamps00:00 - Introduction and overview of Altana's real-world impact00:41 - Understanding forced labor as a multi-tier supply chain problem03:09 - Hundreds of millions in forced labor goods stopped at borders03:45 - How the AI knowledge graph maps global supply chain connections04:15 - Working with CBP on the Uyghur Forced Labor Prevention Act04:35 - Product passports and expediting goods through customs04:51 - Counter-narcotics and the dual-use chemical problem05:45 - Helping logistics companies stop network misuse06:27 - From alert to action and the system handoff process06:49 - Responsible AI and the role of human-in-the-loop decisions07:33 - Proactive vs. reactive supply chain intelligence08:08 - Scenario modeling for geopolitical disruptions and resiliencyAbout Peter SwartzPeter Swartz is Co-Founder and Chief Science Officer at Altana. He has spoken on global trade, supply chains, and machine learning at the World Trade Organization, the World Customs Organization, the U.S. Court of International Trade, and the National Academies of Medicine. Previously, Peter was Head of Data Science at Panjiva, listed as one of Fast Company's most innovative data science companies in 2018 and later acquired by S&P Global. He holds patents in machine learning and global trade, and completed his education at Yale, MIT, and EPFL.About AltanaAltana is the world's first Value Chain Management System, providing AI-powered supply chain intelligence to governments, enterprises, and logistics providers. The platform is built on a proprietary knowledge graph comprising more than 2.8 billion shipments, tracking over 500 million companies and 850 million facilities globally. Altana covers more than 50% of global trade, making it the most comprehensive and accurate supply chain map available.Resources Mentioned- Altana Atlas platform and AI knowledge graph- U.S. Customs and Border Protection (CBP)- Uyghur Forced Labor Prevention Act (UFLPA)- Product passports for cross-border compliance- Altana's disruption and tariff scenario modeling toolsPeter's Socials:LinkedIn — https://www.linkedin.com/in/pgswartz/Partner LinksBook Enterprise Training — https://www.upscaile.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

📢 This Week in AI: ChatGPT Ads, Data Center Freezes & Lunar FactoriesAI isn’t slowing down—it’s changing how we search, build infrastructure, and even think about space. This week: OpenAI switches on ads inside ChatGPT, U.S. states move to freeze new AI data centers, Elon Musk pitches a lunar AI satellite factory, China turns to AI to hunt corruption, and Anthropic raises a massive $30 billion war chest. ⏱️ TIMESTAMPS:[0:00] - Intro [0:15] - OpenAI Puts ADS in ChatGPT ][2:00] - States Hit Pause on AI Data Centers[3:45] - Elon Musk’s Lunar AI Factory[5:30] - China Uses AI to Catch Corrupt Officials[7:10] - Anthropic Raises $30 BILLION at $380B Valuation🎯 WHY THIS MATTERS:These aren’t just tech headlines—they’re signals about how AI business models, infrastructure, regulation, and capital flows are shifting in real time. Whether you’re planning AI deployments, managing risk, or just trying to stay ahead, understanding these moves is critical.💡 ABOUT THIS CHANNEL:AI News in 5 breaks down the week’s most important AI developments in under 5 minutes. No hype, no fear‑mongering—just clear analysis of what’s happening and why it matters to you. Learn more about your ad choices. Visit megaphone.fm/adchoices

📢 Trillion-Dollar Mergers, Software Selloffs & the UK's First AI Town Anthropic drops Opus 4.6 and triggers a stock selloff, Microsoft's Copilot faces a user crisis, Musk merges SpaceX with xAI in a $1.25 trillion deal, and the UK government turns Barnsley into a tech town. 4 major AI stories in under 5 minutes. ⏱️ TIMESTAMPS: 0:00 - Intro0:15 - Anthropic Launches Claude Opus 4.61:15 - Microsoft Copilot Loses Ground to ChatGPT2:15 - Musk Merges SpaceX & xAI in $1.25T Deal3:25 - UK Names Barnsley Its First Tech Town4:30 - Wrap-up 📰 SOURCES & ARTICLES: Anthropic Claude Opus 4.6: https://www.anthropic.com/news/claude-opus-4-6 Microsoft Copilot Challenges: https://www.wsj.com/tech/ai/microsofts-pivotal-ai-product-is-running-into-big-problems-ce235b28 SpaceX-xAI Merger: https://www.cnbc.com/2026/02/03/musk-xai-spacex-biggest-merger-ever.html Barnsley Tech Town: https://www.gov.uk/government/news/barnsley-becomes-uks-first-government-backed-tech-town 💡 ABOUT THIS CHANNEL: AI News in 5 breaks down the week's most important AI developments in under 5 minutes. No hype, no fear-mongering—just clear analysis of what's actually happening and why it matters to you. 🎙️ THE AI REPORT PODCASTWeekly deep-dive conversations with AI operators building the future.Subscribe for full episodes: https://www.youtube.com/@the-AI-report-with-liam-lawson/featured 📬 STAY CONNECTEDNewsletter: https://newsletter.theaireport.ai/subscribeEnterprise Training: https://www.upscaile.com #AI #ArtificialIntelligence #OpenAI #Anthropic #Microsoft #Copilot #SpaceX #xAI #ElonMusk #TechNews #AINews #FutureOfWork #ChatGPT #Claude #WeeklyAI #TechTrends2026 #Barnsley #TechTown #UKTech Learn more about your ad choices. Visit megaphone.fm/adchoices

Louis Shulman on Building a 15-Person Newsletter Agency, Taking 300 Sales Calls in One Year, and Why Email Marketing Is the Most Overlooked Growth Channel. Louis Shulman, founder of Orbit Marketing, returns to the show to reveal how he built a newsletter agency from scratch, scaled to 15 team members, and took over 300 sales calls in a single year. In this candid conversation, Louis shares why most B2B businesses are leaving massive opportunities on the table by ignoring email marketing.From running paid ads directly to newsletters to building full-funnel lead generation systems, Louis breaks down the exact playbook his agency uses to generate qualified meetings for clients. He also discusses the mindset shift from chasing revenue to obsessing over client results—and why that change transformed his business.Key Topics Covered:- Why email marketing remains the most overlooked channel for B2B businesses- The newsletter funnel strategy: running Facebook and Instagram ads to newsletter opt-ins- How to use surveys and Go High Level to qualify leads automatically- Transitioning from commodity service provider to fractional CMO- The difference between "founder growth hires" and "clone hires" when scaling- Why vanilla content gets ignored and opinionated writing drives responses- Building systems and playbooks that make agency work scalable- Using AI to overcome entrepreneurial fears and mental blockers- The shift from chasing client count to producing case studies- How Orbit Flows software was built as an internal tool then monetized- Why incentive alignment is the key to delivering client resultsEpisode Timestamps:00:00 - Introduction and catching up with Louis Shulman01:17 - What Orbit Marketing does and how the business evolved03:51 - Why every B2B business should have an email presence05:13 - Converting sales call rejections into future clients07:23 - Training writers to create opinionated, high-converting content08:47 - B2B vs DTC clients and strategic positioning11:16 - The "sawdust" strategy: monetizing byproducts of your business12:28 - Becoming a full-service marketing agency vs staying specialized16:35 - Finding intrinsic motivation beyond revenue growth20:32 - Is the agency model actually scalable?24:46 - Using AI to overcome fears and mental blockers27:06 - Hiring strategies: patience vs startup chaos mode30:31 - Orbit Flows: building software from internal toolsAbout Louis Shulman:Louis Shulman is the founder of Orbit Marketing, a newsletter agency that helps B2B companies generate qualified leads through email marketing and paid newsletter funnels. He also runs Orbit Metrics, a data and analytics consultancy for e-commerce brands spending $2M+ annually on ads, and Orbit Flows, a content creation and project management software built for newsletter teams.About Orbit Marketing:Orbit Marketing is a full-service newsletter agency specializing in B2B lead generation. The company writes and manages newsletters for dozens of clients, runs paid acquisition campaigns to newsletter opt-ins, and builds complete funnel systems using tools like Go High Level. With a team of 15, Orbit Marketing has written several hundred newsletter issues for clients across industries including finance, e-commerce, and professional services.Resources Mentioned:- Orbit Flows (content creation software)- Go High Level (funnel and CRM platform)- Facebook Ads Manager- Kai Bax (agency scaling strategies)- Alex Hormozi (business growth frameworks)Partner Links:Book Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube#NewsletterMarketing #EmailMarketing #B2BLeadGeneration #AgencyGrowth #LouisShulman #OrbitMarketing #NewsletterAgency #PaidAds #ContentStrategy #Entrepreneurship #MarketingStrategy #FractionalCMO #StartupGrowth #AIinBusiness #EmailFunnels Learn more about your ad choices. Visit megaphone.fm/adchoices

This week in AI and tech: Google removes medical AI overviews after controversy, Anthropic launches Claude for Healthcare, Slackbot becomes a full AI agent, OpenAI signs a $10 billion deal with Cerebras, and Trump announces 25% tariffs on AI chips. ⏱️ TIMESTAMPS 00:00 Intro 00:30 Story #1: Google Pulls Medical AI Overviews 04:15 Story #2: Anthropic Launches Claude for Healthcare 08:45 Story #3: Slackbot Becomes AI Agent 13:20 Story #4: OpenAI's $10B Cerebras Deal 18:00 Story #5: Trump's 25% AI Chip Tariff 22:30 Final Thoughts 📰 STORY BREAKDOWN 🔴 GOOGLE PULLS MEDICAL AI OVERVIEWS Following a Guardian investigation revealing misleading health advice, Google has removed AI Overviews from certain medical queries. The move raises questions about AI reliability in healthcare information and the challenges of deploying generative AI for health-related searches. 🏥 ANTHROPIC LAUNCHES CLAUDE FOR HEALTHCARE Anthropic announced Claude for Healthcare, targeting administrative burden reduction in medical settings. The specialized version of Claude aims to help with clinical documentation, patient communication, and workflow optimization while maintaining HIPAA compliance. 💬 SLACKBOT BECOMES AI AGENT Salesforce announces general availability of the new AI-powered Slackbot, transforming it from a simple bot into a personal AI agent for work. The upgraded Slackbot can handle complex tasks, answer questions using company knowledge, and automate workflows across Slack channels. 💻 OPENAI'S $10B CEREBRAS DEAL OpenAI partners with Cerebras Systems in a deal worth over $10 billion to leverage their wafer-scale AI chips. This massive partnership could make ChatGPT exponentially faster by utilizing Cerebras's revolutionary chip architecture, which houses millions of cores on a single wafer. 🇺🇸 TRUMP'S 25% AI CHIP TARIFF President Trump imposes 25% tariffs on certain advanced AI chip imports while simultaneously clearing the way for Nvidia H200 sales to China. The policy creates a complex landscape for semiconductor trade with significant implications for AI development and US-China tech relations. 📚 SOURCES & LINKS Story #1: https://www.theguardian.com/technology/2026/jan/05/google-ai-overviews-misleading-health-advice Story #2: https://www.anthropic.com/news/healthcare-life-sciences Story #3: https://www.salesforce.com/news/stories/slackbot-personal-agent-work/ Story #4: https://openai.com/index/cerebras-partnership/ Story #5: https://www.cnbc.com/2026/01/14/trump-nvidia-h200-china-ai-chips.html 🔔 SUBSCRIBE for weekly AI and tech news coverage 💬 What story surprised you most? Comment below! #AI #TechNews #Google #OpenAI #Anthropic #Salesforce #Slack #Trump #Tariffs #ArtificialIntelligence #ChatGPT #Claude #MachineLearning #Technology #WeeklyNews Learn more about your ad choices. Visit megaphone.fm/adchoices

OpenAI launches ChatGPT Health, Amazon takes Alexa+ to the web, and Google reinvents your inbox—6 game-changing AI updates for operators in under 5 minutes. 📰 THIS WEEK'S TOP STORIES • Plaud NotePin S: New $179 AI notetaker + Mac desktop app • Amazon Alexa+: Web experience now live at Alexa.com • UMG & NVIDIA: "Responsible AI" partnership for music discovery • OpenAI ChatGPT Health: Dedicated health space with medical record integration • Google Gmail AI Inbox: AI-generated summaries replace email lists • Plus: CES 2026 highlights from Las Vegas ⏱️ TIMESTAMPS 0:00 - Intro 0:05 - Plaud NotePin S: AI notetaker goes desktop 1:09 - Amazon Alexa+: Leaving the living room for the web 2:23 - UMG & NVIDIA: AI music partnership 3:35 - OpenAI ChatGPT Health: Medical records meet AI 4:39 - Google Gmail AI Inbox: Your email, reimagined 5:40 - Wrap-up 🔗 LINKS & RESOURCES • Plaud NotePin S: https://www.plaud.ai • Amazon Alexa+: https://alexa.com • NVIDIA Music Flamingo: https://www.nvidia.com • OpenAI ChatGPT Health: https://chat.openai.com/health • Google Gmail AI Inbox: https://gmail.com 🎙️ THE AI REPORT PODCAST Weekly deep-dive conversations with AI operators building the future. Subscribe for full episodes: https://www.youtube.com/@the-AI-report-with-liam-lawson/featured 📬 STAY CONNECTED Newsletter: https://newsletter.theaireport.ai/subscribe LinkedIn: https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/ Enterprise Training: https://www.upscaile.com/ --- #AINews #CES2026 #OpenAI #AmazonAlexa #GoogleGmail #WeeklyAI #ArtificialIntelligence #AIOperators #ChatGPT #TechNews AI Weekly in 5 is a rapid news brief covering the most important AI developments for operators and professionals. Every week, get curated insights without information overload—just what matters for your work. Learn more about your ad choices. Visit megaphone.fm/adchoices

How Eric Jorgenson Thinks 30 Years Ahead to Build Companies That Matter in the Age of AI Eric Jorgenson, CEO of Scribe Media and venture investor, reveals how thinking on a 20-30 year timeline fundamentally changes investment decisions, company building, and personal leverage in an AI-accelerated world. From investing in asteroid mining startups to understanding why most people get the AI revolution wrong, Eric breaks down how to build leverage, develop judgment, and position yourself for the civilization-level changes ahead. The conversation explores why short-term thinking creates mediocrity while long-term vision enables breakthrough innovation. Eric shares his framework for evaluating startups, explains why energy and consciousness are the real currencies of the future, and demonstrates how AI tools amplify leverage for those who understand fundamental skills. The discussion challenges conventional wisdom about education, productivity, and what it means to contribute meaningfully to human progress. Key Topics Covered: The 20-30 year investment framework and why most opportunities fail this filter Why Eric invested in an asteroid mining startup when others called it crazy How AI accelerates discovery in physics, biology, and material science beyond information work The widening gap between AI adopters and non-adopters in every industry Why judgment and taste matter more than technical skills in the AI era How to train the next generation when AI can do the execution work The difference between learning fundamental skills versus using AI as a crutch Applying leverage principles through delegation, automation, and recorded processes Why equal opportunity matters more than equal outcomes for civilization Viewing consciousness as humanity's core responsibility in the universe Episode Timestamps: 00:00 - Introduction and Eric's 2025 operating lens01:41 - The 20-30 year timeframe for investing and life decisions03:30 - Asteroid mining investment thesis and long-term vision06:26 - How Eric cultivated the long-term thinking mindset10:22 - AI as a force multiplier across all technologies13:54 - How the smartest people are adopting AI differently17:06 - The thought experiment: training an intern for maximum impact25:46 - The crisis in education and what students are missing31:32 - How leverage has evolved and become more accessible42:11 - Eric's highest leverage activities and what he should be doing more46:23 - The divergent paths of resourceful versus passive people50:36 - Why Eric does what he does and his view on consciousness About Eric Jorgenson: Eric Jorgenson is the CEO of Scribe Media, a publishing company that helps entrepreneurs and thought leaders write, publish, and market their books. He also runs a pre-seed and seed venture fund investing in long-term technology companies. Eric is best known as the author of The Almanack of Naval Ravikant, a curated collection of Naval's wisdom on wealth and happiness that has reached millions of readers worldwide and been translated into dozens of languages. The book distills years of Naval's tweets, podcast appearances, and essays into a comprehensive guide on building wealth, finding happiness, and living a meaningful life. Eric's deep understanding of leverage and long-term thinking stems directly from his work synthesizing Naval's philosophy. About Scribe Media: Scribe Media is a publisher specializing in helping entrepreneurs, executives, and experts transform their knowledge into professionally published books. The company handles the complete book creation process from writing to publishing to marketing, enabling busy professionals to share their ideas without the traditional barriers of book publishing. Learn more about your ad choices. Visit megaphone.fm/adchoices

How Shopify Is Building The Future of AI Commerce with Andrew McNamaraShopify's Director of Applied ML, Andrew McNamara, reveals how the new Sidekick Pulse and SimGym features are revolutionizing e-commerce for merchants of all sizes. With 15 years of experience building AI assistants—dating back to pre-Siri days—Andrew breaks down how Shopify is using "LLM as a judge" to ensure quality and why "vibe entrepreneurship" is the future of business.Andrew explains how Sidekick has evolved from a simple chatbot into a proactive "AI Co-founder" that can democratize data for small business owners. He shares behind-the-scenes details on Sidekick Pulse, which performs deep research to surface actionable insights (like finding shipping errors that cost sales), and Simgym, a powerful simulator that uses AI shoppers to A/B test store changes before they go live.We also dive into the technical side of how Shopify evaluates these models using statistical rigor and why the ability for merchants to build admin apps with a single prompt is a game-changer for productivity.---Topics Covered- The 15-year evolution of AI assistants from rule-based systems to LLMs- How Sidekick Pulse proactively finds and fixes business-critical errors- Simgym: Using AI shoppers to simulate A/B tests without risking live traffic- The "LLM as a Judge" framework Shopify uses for product quality control- "Vibe Entrepreneurship" and reducing technical barriers for founders- Building custom Admin Apps in seconds using natural language prompts- Real-world examples from Andrew's own maple syrup store- The difference between general chatbots (Copilot) and specialized agents (Sidekick)- How "App Gen" allows merchants to create custom workflows instantlyEpisode Timestamps00:03 - Introduction to Andrew McNamara and his 15-year history with AI01:01 - Comparing early AI assistants (BlackBerry/Samsung) to modern LLMs06:45 - How Sidekick democratizes data analytics for small merchants11:25 - Deep Dive: Sidekick Pulse and proactive business research15:43 - Using "LLM as a Judge" to replace human evaluation at scale18:41 - Generating custom Admin Apps with a single prompt ("App Gen")21:58 - Andrew's personal experience running a Shopify store25:31 - The concept of "Vibe Entrepreneurship" as a North Star26:30 - Using AI to edit online store themes and layouts in real-time37:39 - Simgym: Simulating buyer behavior to predict experiment results42:06 - Why simulation is critical for both small and large enterprise merchants48:04 - The culture of technical depth and passion at Shopify51:34 - Why Andrew has dedicated his entire career to building assistants---## About Andrew McNamaraAndrew McNamara is the Director of Applied Machine Learning at Shopify, where he leads the development of Sidekick and other intelligent merchant features. Previously the Director of the Montreal Research Lab at Microsoft and a key contributor to Bing Chat (Copilot), Andrew has over 15 years of experience building and deploying AI assistants at scale.Shopify is the leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. It powers millions of businesses in more than 175 countries and offers a unified platform for physical and digital commerce.Resources Mentioned- Shopify Sidekick (AI Commerce Assistant)- Sidekick Pulse (Proactive Research Agent)- Simgym (AI Shopper Simulator)- Microsoft Copilot & Bing Chat- "LLM as a Judge" Evaluation Framework---Partner Links- Book Enterprise Training — https://www.upscaile.com/- Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube Learn more about your ad choices. Visit megaphone.fm/adchoices

Jason Eubanks on Building Oracel: Raising $30M in 28 Hours to Disrupt the $236B Go-To-Market Tooling Market with AI-Native Sales AutomationJason Eubanks, CEO and Co-founder of Oracel, discusses how the company raised $30 million in just 28 hours—oversubscribed at $40 million—by solving a critical problem in the go-to-market industry. With a $236 billion market opportunity and only a "desert of innovation" since the late 1990s, Aurasell is building an AI-native platform to intelligently automate sales workflows and consolidate the 12-15 fragmented tools that plague modern sales teams. Jason shares how his experience scaling revenue from $1M to $100M+ across five startups—including Twilio (IPO), Meraki (acquired by Cisco for $1.2B), and Harness—directly informed the founding vision of AurasellEpisode Timestamps- 00:00 - Introduction and Jason Eubanks joins the podcast- 00:26 - Why Oracel raised $30M in 28 hours despite initial $40M oversubscription- 01:24 - The "desert of innovation" in go-to-market tooling since the late 90s- 01:42 - History of CRM evolution from mainframe to cloud to niche products- 03:12 - Founding vision: One intelligent GTM sales platform to replace them all- 03:39 - How pain as a CRO across five startups led to Oracel's creation- 05:58 - The X-Ray productivity assessment revealing tool sprawl inefficiencies- 07:59 - Sellers spending 28% of time selling and 70% on manual tasks- 09:03 - First principles AI-native approach with whiteboards in the kitchen- 09:29 - Five key personas: SDR, seller, IC manager, executive, ops team- 12:18 - AI-native architecture: multimodal interface, lakehouse, and 10,000 agents- 14:39 - Unified data model importance for contextualized AI automation- 15:45 - Current hat wearing: product focus and 50% building go-to-market engine- 18:43 - Platform features and customer experience design philosophy- 19:05 - Three wow moments per persona as success metric- 20:39 - Onboarding experience: automatic territory building and customer choice- 21:40 - 10,000 agents discovering ICP, personas, and competitors automatically- 24:07 - Automated account research and value hypothesis creation- 25:34 - Outbound prospecting content generation with propensity scoring- 26:32 - Outbound sequencer integration and email platform plugins- 27:00 - AI voice dialer coming in three weeks with closed-loop automation- 28:47 - What's missing: deep marketing and customer success automation- 30:49 - Ideal customer profiles: startups and enterprises with tool sprawl- 31:30 - Solution for heavily customized legacy systems coming in December- 34:24 - Dynamic change detection layer solving technical debt- 36:23 - Jason's career arc from BMC Software through Harness- 37:09 - Why: helping go-to-market operators solve problems he experienced- 39:55 - Meraki's disruptive cloud-managed network architecture- 41:51 - Three constants: great product builders, important problems, massive markets- 43:22 - Intrinsic motivation as foundation for hiring and culture- 45:31 - Hiring from first job onward to assess character and values- 51:24 - Understanding why someone wanted to work at 14 years old- 53:21 - Importance of formative years for work ethic and intelligence- 55:46 - AI adoption culture: using own product and building agents internally- 56:36 - All employees use AI daily across PMs, engineers, and operations- 59:25 - Ask AI features: analytics dashboards, data enrichment, natural language- Learn more about your ad choices. Visit megaphone.fm/adchoices

Discover how Anton, one of the most experienced AI and machine learning experts in the industry, discusses his evolution from building matching algorithms at Bright.com to navigating today's AI landscape. With over a decade of experience in large-scale recommendation systems and data processing, Anton reveals how the fundamentals of big data and embarrassingly parallel computing shaped modern AI applications, and why human-centered design is now more critical than ever in building AI-powered products.Episode Timestamps:- 00:00 - Introduction and welcome- 00:47 - Anton's experience at Bright.com and the recruitment matching problem- 03:23 - The big data era, Hadoop, and Spark in the web 2.0 world- 05:00 - Embarrassingly parallel computing and large-scale data processing- 10:00 - How recommendation algorithms work at scale in recruitment- 20:00 - Evolution of the data scientist role over time- 30:00 - Building intelligent matching systems- 40:00 - Understanding user needs and organizational workflows- 50:00 - The shift toward human-centered AI design- 57:30 - Providing pre-filled content and personalization- 58:02 - Anton's vision for the future and human values- 01:01:46 - Closing thoughts on humanity and technologyAbout Anton:Anton is a veteran machine learning and AI engineer with over a decade of experience building large-scale recommendation and matching systems. He played a key role at Bright.com, a two-sided recruitment platform that pioneered transparent scoring algorithms for candidate-job matching. His expertise spans big data infrastructure, recommendation systems, user experience optimization, and the human-centered approach to AI product development.Resources Mentioned:- Hadoop and Spark (big data processing frameworks)- Big data infrastructure and cloud computing platforms- Two-sided marketplace architectures- Recommendation algorithms and matching systems- User workflow analysis toolsPartner Links:- Book Enterprise Training — https://www.upscaile.com/- Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtubeHashtags:#AIAgents #MachineLearningSystems #RecruitmentTechnology #BigData #DataScience #RecommendationAlgorithms #HadoopSpark #AIProductDesign #HumanCenteredAI #LargeScaleML #CloudComputing #AIStrategy #FutureOfWork #TechLeadership #CareerDevelopment Learn more about your ad choices. Visit megaphone.fm/adchoices

Building Teams in the Age of AI: How Slack CMO Ryan Gavin is Reshaping the Future of Work In this episode, Ryan Gavin, Chief Marketing Officer at Slack, reveals how self-awareness in leadership and the convergence of marketing and product strategy are creating unprecedented opportunities in the agentic era. Learn why employee productivity through AI orchestration is poised to become the fastest accelerator for top line business growth companies have ever seen, and how Slack is positioning itself as the conversational work platform for this transformation. The conversation explores the critical shift from employees as doers to orchestrators, where every team member—from day-one interns to seasoned executives—will manage digital coworkers and AI agents. Discover the product principles driving Slack's approach to agent integration, the social dynamics of working alongside AI teammates, and why the traditional career ladder is being replaced by immediate access to capabilities across development, creative, analytics, and more. The discussion also covers practical frameworks for building exceptional teams, reducing AI adoption anxiety, and why picking the "right" career path matters less than crushing the job you're in. Ryan delivers actionable insights on leadership development through self-awareness, understanding how team members receive feedback and recognition differently, and connecting business opportunities with talent growth. You'll also hear his compelling argument for why marketing must sit between product and sales as a strategic amplifier, not just a message distributor, and what marketers need to do to earn their seat at product strategy and sales planning meetings. Key Topics Covered: Self-awareness as the foundation of effective leadership and team development Why marketing is product and product is marketing in modern B2B organizations The shift from doers to orchestrators in the age of AI agents and digital coworkers How every employee will manage AI teammates from day one across finance, HR, creative, and development Employee productivity as the most underutilized growth lever for businesses Slack's product principles for agent integration: don't make me think and be a great host Reducing AI adoption fear by showcasing capability expansion rather than job displacement Social dynamics of agent interaction in channels and preserving psychological safety Why there is no "right" career path and how to multiply opportunities by crushing your current role The changing consumer patterns of information seeking and their impact on business workflows Episode Timestamps: 00:00 - Introduction and setting the stage 02:16 - Knowing thyself: Ryan's journey to leadership self-awareness through family and life experience 05:19 - What makes an amazing marketer in 2026 and bridging the marketing-product divide 08:43 - From doers to orchestrators: how AI agents give every employee a team from day one 11:24 - Designing agents to work like teammates: Slack's approach to intuitive AI integration 14:55 - Addressing AI fear: why productivity gains lead to higher expectations rather than job loss 18:03 - Advice for the next generation entering an AI-transformed workforce 21:49 - Career lesson from delivering papers in 110-degree Chicago heat 24:30 - Final question: why Ryan does what he does and the importance of lasting market impact Learn more about your ad choices. Visit megaphone.fm/adchoices

Nick Johnston is the Senior Vice President of Strategic Partnerships & Business Development at Salesforce, where he leads strategic relationships with major technology companies including OpenAI, Anthropic, AWS, Google, IBM, and Workday. In this conversation recorded during Dreamforce 2025, Nick shares how Salesforce closed 12,500 Agentforce deals and navigated the complexities of announcing major partnerships like the expanded OpenAI integration that brings Salesforce's Agentforce 360 directly into ChatGPT. He reveals his unique approach to building win-win partnerships grounded in customer demand rather than competitive positioning. Key Topics Covered: How Salesforce builds customer-driven partnerships with tech giants like OpenAI, Anthropic, AWS, and Google The three core hiring values that create high-performing partnership teams: low ego, high curiosity, and grit Why uncomfortable conversations are essential for building trust and creating impactful partnerships Using AI tools to position partnership proposals and draft joint press releases with strategic clarity The Dreamforce partnership strategy and how compelling events drive deal execution Career lessons from coaching varsity football wide receivers and celebrating team achievement over personal wins Living in Buenos Aires for six months and the value of full cultural immersion for partnership work Why getting customer-facing experience early in your career is the best foundation for any role The interview question that reveals hero culture versus team players in partnership roles Balancing partnership work across multiple departments including product, marketing, operations, and sales How human experience will become the ultimate competitive moat as AI automates routine tasks The "be great" daily philosophy and applying the same standards to yourself that you set for your team Episode Timestamps: 03:07 - From college football to coaching varsity wide receivers at Torrey Pines High School in 2006 05:47 - The vibes and trust mentality: lessons from undersized teams that outperform expectations 07:26 - Three core hiring values: low ego, high curiosity, and grit in partnership teams 09:15 - Six months in Buenos Aires learning Spanish through full immersion with Spencer Stuart 12:49 - Customer-driven partnership strategy: building frameworks from market demand to product integration 16:15 - The customer-centric approach at Dreamforce and delivering the Agentforce agenda with partners 18:04 - Using AI to write joint press releases, position partnerships, and create mutually beneficial proposals 21:27 - Career advice for new graduates: get as close to the customer as possible in sales or customer success roles 24:56 - Why human experience and the arts will be the ultimate differentiator as AI automates work 28:02 - Parenting lessons and the "be great" daily motto for building confidence and pushing through challenges 29:06 - Why do you do what you do: achieving hard things in team settings and making family proud About Nick Johnston Nick Johnston is the Senior Vice President of Strategic Partnerships & Business Development at Salesforce, where he has spent over 12 years advancing from Customer Success Director to leading strategic technology partnerships. He holds an MBA from UC Berkeley Haas School of Business and a BA with honors in International Relations from UC Davis, where he also played college football. Nick has been instrumental in establishing major partnerships with OpenAI, Anthropic, AWS, Google, IBM, Workday, and other leading technology companies to deliver integrated customer experiences through Salesforce's Agentforce 360 platform. ransformation and agentic AI. Partner Links: Book Enterprise Training — **https://www.upscaile.com/** Subscribe to our free newsletter — **https://www.theaireport.ai/subscribe-theaireport-youtube** Learn more about your ad choices. Visit megaphone.fm/adchoices

Try AI Pals today: http://tavus.io/pals-launch?utm_source=newsletter&utm_medium=email&utm_campaign=theaireportIn this candid conversation with Quinn Favret, and Hassaan Raza, Co-Founders of Tavus, we dive deep into the future of human computing and how AI is learning to communicate like humans. Quinn walks us through their inspiring San Francisco office—a museum of vintage computing that fuels the company's innovation culture.Topics Covered:0:00 — Introduction & Office Tour2:15 — Building an Inspiring Workspace for Innovation5:45 — The Evolution of Human-Computer Interaction (CLI → GUI → Human Computing)8:30 — What is "Human Computing"? The OS for Human-AI Interaction12:00 — The Waltz of Communication: Understanding Turn-Taking, Tone & Body Language15:20 — Tavus Technology: Perception, Understanding, Reaction & Action20:45 — Introducing Tavus Pals: AI Companions That Reach Out to You25:30 — Real-World Impact: The AI Santa Story & Accessibility30:15 — Ethical AI: Human-First Design & Responsibility35:00 — The Future of Work: Invisible Interface & AI Coworkers (10-20 Year Vision)42:30 — Addressing Job Displacement & Automation47:00 — Building an International, Culturally Diverse Team52:15 — What Makes a Great Tavus Hire: Passion, Craft & Opinions57:45 — Employee Challenges That Changed Company Direction62:00 — The "Why Do You Do This?" Question & Personal Motivations67:30 — Closing Remarks & GratitudeKey Takeaways:Human computing is the next frontier: machines that understand you instead of you learning to understand machinesEffective communication involves far more than words—tone, timing, facial expressions, and body language all matterTavus Pals represent a new category of AI application: emotionally intelligent, proactive, and truly conversationalDiversity of perspective—cultural, generational, educational—is critical to building AI that works for everyoneThe future workplace will have AI coworkers that feel as natural to interact with as human colleaguesTimestamps & Chapters:Vintage Computing Culture & InnovationThe Evolution of Computing InterfacesHuman-Centered AI Design PhilosophyReal-Time AI Perception & UnderstandingTavus Consumer Products & APIEmotional Intelligence in AIEthical Considerations & ResponsibilityFuture of Work & The Invisible InterfaceBuilding an International TeamHiring for Passion Over BackgroundLegacy & ImpactWe explore conversations with founders, technologists, and innovators shaping the future. This episode features Quinn Hassan discussing how Tavus is reimagining human-computer interaction through emotionally intelligent AI.#AI #Tavus #HumanComputing #FutureOfWork #AICompanions #Innovation #TechPodcast #FounderInterview #Startups #EmotionalIntelligence Learn more about your ad choices. Visit megaphone.fm/adchoices

How a Former Startup Founder (Nancy Xu) is Building the Future of AI Agents at Salesforce Agent ForceJoin us for an insightful conversation with a Salesforce Agent Force leader who previously founded Moon Hub and holds a PhD in Computer Science from Stanford. In this episode, Nancy Xu reveals her unconventional hiring strategies, including asking candidates "what tabs are open in your Chrome browser," and shares why relentless curiosity is the top signal she looks for when building AI teams. Discover how she transitioned from startup founder to enterprise AI leader while maintaining a culture of trust and autonomy.Nancy Xu breaks down the future of work with AI agents, explaining how we'll all transition from "producers" to "directors" as agent orchestration becomes central to every role. Learn about Salesforce's trust layer for Agent Force, the importance of humans in the loop for iterative agent improvement, and why the next 100 years of AI development represents humanity's greatest opportunity since mapping the world. This conversation offers tactical hiring advice, leadership insights on managing impatience as a strength and weakness, and a compelling vision for how AI agents will transform customer experience roles.Key Topics Covered:Unconventional interview questions that reveal candidate curiosity and passion beyond traditional resumesThe three intangibles to look for when hiring: relentless curiosity, mastery of craft, and passionWhy future roles will focus on "what and why" rather than "how" as AI agents handle executionAgent orchestration frameworks including MCP and ATA for agents working with other agentsThe critical role of humans in the loop for continuously iterating agent objective functionsHow trust operates as the number one value at both Salesforce and startup environmentsLeadership philosophy of hiring great people and giving them autonomy within clear directionManaging impatience as both a greatest strength and weakness in leadershipThe blending of research, product, and engineering roles in AI-native companiesWhy this moment in history is humanity's chance to positively impact the course of civilization through AIEpisode Timestamps:00:00 - Introduction and unconventional hiring philosophy01:42 - The Chrome browser tabs question and looking beyond traditional resumes03:21 - Hiring for curiosity in a world where jobs will transform in two years05:15 - From producers to directors: The future of work with AI agents07:18 - Comparing culture at Salesforce Agent Force vs Moon Hub startup09:28 - Operating from trust: Lessons from Stanford PhD program on autonomy11:02 - Greatest weakness: Managing impatience as a founder turned enterprise leader13:14 - Advice for 21-year-olds: Pursue passion and blend across departments15:54 - Why now is the perfect moment in human history to work on AI17:10 - Closing thoughts on making positive impact through AI developmentAbout the Guest:This episode features Nancy Xu, a product and engineering leader on the Salesforce AgentForce team who previously founded Moon Hub, an AI-powered talent platform. She holds a PhD in Computer Science from Stanford and brings systems thinking and mathematical rigor to building enterprise AI agents. Her work focuses on agent orchestration, trust layers, and enabling humans to work alongside AI at scale.About Salesforce/Agentforce:Salesforce Agent Force is an enterprise AI agent platform that enables businesses to deploy autonomous agents across customer service, sales, and operations. Built with trust as the number one value, Agent Force includes enterprise-grade governance, security, and a trust layer that handles compliance at scale. The platform focuses on agent orchestration, allowing multiple agents to work together while keeping humans in the loop for strategic direction Learn more about your ad choices. Visit megaphone.fm/adchoices

#SalesforcePartner Rohit Khanna on AI Agents in Customer Service: How Smarsh Achieved 56% Deflection with Agentforce 360 Platform. Rohit Khanna, Chief Customer Officer at Smarsh, reveals how AI agents are revolutionizing customer service automation in financial services compliance. In this episode, learn how Smarsh implemented Salesforce Agentforce to achieve 56% deflection rates, 20% productivity gains, and transformed their customer support operations without hiring additional level-one support representatives. Discover the complete strategy behind deploying AI agents in regulated industries, from building proprietary compliance models to implementing data governance layers that ensure accuracy and regulatory compliance. Rohit shares insider insights on personalizing AI agents (meet "Archie"), managing the transition from chatbots to intelligent agents, and preparing teams for the future of agentic workflows in customer service. Key Topics Covered: - AI Agent Implementation - How Smarsh deployed Agentforce for customer service automation - Real Results - 56% deflection rate, 20% efficiency gains, 25% faster resolutions - Financial Services Compliance - Building AI models for market manipulation, fraud detection, and surveillance - Data Governance - Critical frameworks for deploying AI agents in regulated industries - Personalization Strategy - Why naming the agent "Archie" dramatically increased adoption - Future of Work - From human-in-the-loop to agent-in-the-loop workflows- GenAI vs Purpose-Built Models - When to use general purpose vs specialized compliance AI models - Customer Experience - Balancing automation with trust in financial services Episode Timestamps: 00:00 - Introduction to Rohit Khanna and Smarsh 02:44 - What is Smarsh? Compliance technology explained 04:13 - Building AI from the inside out: Proprietary vs partnered models 07:33 - Agentforce implementation journey and challenges 12:26 - Results: 56% deflection rate and productivity gains 15:25 - The power of personalization: Why "Archie" matters 18:21 - Trust and data governance in regulated industries 22:11 - Data governance layers and policy management 25:49 - Human-in-the-loop vs agent-in-the-loop 29:10 - Upskilling teams for the AI-powered future 32:11 - Intelligent agents for financial crime detection About Rohit Khanna: Rohit Khanna is the Chief Customer Officer at Smarsh, overseeing global customer support, consulting, migrations, managed services, and Smarsh University. With nearly six years at Smarsh, Rohit has led the company's transformation into AI-powered compliance solutions, managing teams across the Philippines, India, Belfast, Costa Rica, UK, and US. About Smarsh:Smarsh is the leading compliance technology provider for regulated industries, specializing in electronic communications archiving, surveillance, and AI-powered financial crime detection. For 20 years, Smarsh has been the trusted custodian of communications data for major financial institutions worldwide, using proprietary AI models and GenAI agents to detect misconduct, reduce false positives, and ensure regulatory compliance. Resources Mentioned:- Salesforce Agentforce - Salesforce Agentforce for Service - Digital Reasoning (acquired by Smarsh) ---Book Enterprise Training — [https://www.upscaile.com/](https://www.upscaile.com/) Subscribe to our free newsletter — [https://www.theaireport.ai/subscribe-theaireport-youtube](https://www.theaireport.ai/subscribe-theaireport-youtube)--- What's your experience with AI agents in customer service? #AIAgents #CustomerService #Agentforce #Salesforce #ComplianceTechnology #FinancialServices #GenAI #CustomerExperience #AIAutomation #AgenticWorkflows #DataGovernance #FinancialCompliance #CustomerSupport #AIinBusiness #Smarsh Learn more about your ad choices. Visit megaphone.fm/adchoices

Subscribe to the newsletter — https://newsletter.theaireport.ai/subscribeBook Enterprise Training — https://www.upscaile.com/Salesforce CMO Ariel Kelman reveals how customer-centric marketing, AI agents, and trust shape the future of enterprise technology. Learn leadership lessons from Amazon, MicroStrategy, and building marketing teams that embrace AI innovation at scale.In this exclusive interview recorded at Dreamforce, Ariel Kelman—President and Chief Marketing Officer at Salesforce—shares his journey from data warehouse consultant to leading marketing at one of the world's most influential enterprise software companies. Discover how the "have you talked to customers" philosophy from Amazon's Andy Jassy transformed his approach to B2B marketing, and why trust has become the cornerstone of successful AI agent deployment.Ariel breaks down the evolution of AgentForce, Salesforce's AI agent platform, and explains why enterprise AI requires more than impressive demos—it demands accuracy, security, and customer success at scale. You'll learn practical insights about hiring for intellectual curiosity over technical skills, building transparent resource allocation systems, and why failure is "the inseparable twin sister of innovation."⏱️ TIMESTAMPS:0:00 - Introduction1:03 - From Data Warehouse Consultant to CMO: Career Journey2:50 - Andy Jassy's Customer-First Philosophy at Amazon4:08 - The Foundation of Customer Success in Marketing5:46 - Trust, CRM, AI, and Data: The Four Pillars7:20 - Building Trust as a Marketing Leader8:56 - Introducing AI Agents to Enterprise Customers10:31 - What Trust Really Means in AI12:02 - President + CMO: The Dual Role Explained13:11 - Training Teams Through Inspiration, Not Just Education14:52 - Hiring for Intellectual Curiosity and Humility17:04 - Creating a Culture Where Failure Leads to Innovation18:45 - How Leaders Use AI Daily at Salesforce20:09 - The Joy of Product Marketing20:50 - Why Do You Do What You Do?💡 KEY TAKEAWAYS:Why customer obsession beats technology-first marketing every timeHow to build trust in AI agents for enterprise deploymentThe hiring questions that reveal intellectual curiosity and low egoWhy 95% accuracy isn't good enough for customer-facing AIHow Salesforce uses 17 customer success stories to market AgentForceThe difference between consumer AI and enterprise AI grounded in dataWhy transparency in resource allocation builds team trust🎤 ABOUT ARIEL KELMAN:Ariel Kelman is the President and Chief Marketing Officer at Salesforce, where he leads global marketing strategy for CRM, AI, and enterprise technology solutions. Previously, he held leadership roles at Amazon Web Services, Oracle, and MicroStrategy, bringing over 20 years of experience in B2B technology marketing and sales engineering.📢 RELATED VIDEOS:Mia Jordan, GTM AI Executive at Salesforce (https://youtu.be/pFOAlZNL_U0?si=2BMuatBIpC0biXZ0)Saket Srivastava, Asana CIO (https://www.youtube.com/watch?v=0TryfgNj3D4&t=1s)🏢 ABOUT THIS SERIES:This interview is part of our Dreamforce leadership series, featuring conversations with C-suite executives shaping the future of enterprise technology, AI innovation, and customer experience.#Salesforce #CMO #AIAgents #AgentForce #MarketingLeadership #EnterpriseAI #B2BMarketing #CustomerSuccess #TrustInAI #Dreamforce #TechLeadership #ProductMarketing #CRM #AIInnovation #MarketingStrategy Learn more about your ad choices. Visit megaphone.fm/adchoices

⚡️ Enterprise Training — upscaile.com🤝 Join the Newsletter — newsletter.theaireport.ai/subscribeIn this episode, we delve into AI in government transformation, digital innovation in the public sector, and the future of work in an AI-driven world. Our guest, Mia Jordan — a former Chief Information Officer (CIO) turned AI GTM Executive at Salesforce — reveals how artificial intelligence, automation, and data-driven decision-making are powering the next wave of digital transformation in government. She shares insights on how public-sector innovation, customer experience (CX), and platform thinking are redefining how agencies operate. You’ll learn how AI strategy, leadership, organizational culture, and AI skills training enable smarter, more connected systems — shaping the next generation of digital government, enterprise AI adoption, and citizen-centric service delivery.We dive into:1. How government can use AI to deliver citizen-first services and customer-like experiences2. Why CIOs are central to blending IT, business, and AI strategy across large organizations3. The “platform mindset” — building once and scaling across multiple departments4. How AI can shorten onboarding time and make training radically more efficient5. Practical steps for employees and leaders to upskill with free AI training (Trailhead)6. Building a learning culture where AI adoption starts from the top down7. Career advice for recent grads entering the AI-driven workforceChapters00:00:00 Intro – The art of authentic conversation00:01:00 How to design government systems that treat citizens like customers00:03:00 CIO insights: blending business, IT, and AI00:05:00 The future of work and how AI is changing employee roles00:06:30 How to learn AI fast – Trailhead and free upskilling00:07:40 The value of grunt work in the age of automation00:09:30 AI onboarding: training employees faster and smarter00:10:40 Culture and leadership in successful AI adoption00:12:10 AI learning cohorts: building confidence and curiosity00:14:30 Measuring AI success: education, engagement, and feedback loops00:15:30 Lessons from government and innovation inside Salesforce00:17:40 What new grads should learn from sales and relationship building00:19:10 Why she does what she does – being a catalyst for change📬 Get in TouchLinkedIn: https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/Mia Jordan — https://www.linkedin.com/in/mia-jordan-07192852/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Connect with Saket Srivastava: https://www.linkedin.com/in/saket-srivastava-84069711/ 👉 Asana CIO Saket Srivastava joins Liam Lawson to unpack why the future is about **collaboration over autonomy** in AI. He shares how Asana’s Work Graph underpins AI features like Smart Chat, AI Studio, and the new **AI Teammates** (with human-in-the-loop checkpoints and enterprise controls), and explains the evolving role of the CIO from back-office technologist to strategy co-creator. Saket gets specific on IT–HR partnership for AI transformation, surveying employee readiness, building an internal AI council, balancing experimentation with measurable impact, and coaching teams through change. They also tackle job displacement realistically, discuss building an AI-first culture, and end with Saket’s personal motivations, strengths, and where he’d improve. 📚 Chapters 00:00 Welcome & setup 01:31 What Asana is & the CIO role 04:39 How the CIO role changed from 2024 → 2025 06:11 What makes a great CIO (three-level framework) 09:15 What are Asana AI Teammates? 12:42 Why autonomy isn’t the goal; context, checkpoints, control 14:48 Asana’s AI suite (Smart Chat, AI Studio, Teammates) 15:04 The Work Graph model & “pyramid of clarity” 18:31 Human-in-the-loop in practice (IT ticketing, campaign strategist) 20:50 Natural-language collaboration & explainability 22:01 Where AI Teammates underperform & the data hurdle 25:30 Change management & the IT–HR partnership 29:08 Baseline survey: excited-but-stuck employees 32:14 Bottom-up innovation + top-down direction 33:39 AI council, show-and-tells, and grassroots adoption 36:12 Balancing innovation with impact (don’t kill experiments with ROI) 37:24 Addressing fear vs. optimism; why leaning in matters 40:08 Generational readiness & learning paths 43:03 The future of work: augmentation over dystopia 44:31 Saket beyond tech; problem-solving DNA 46:45 Strengths & what he’d improve as a leader 48:59 Why Saket does what he does 📰 Join the Newsletter: [https://newsletter.theaireport.ai/subscribe] ⭐️ Get Enterprise Training: [https://www.upscaile.com/corporate-training] Learn more about your ad choices. Visit megaphone.fm/adchoices

Connect with Josh Furstoss: https://www.linkedin.com/in/josh-furstoss/ Follow Josh on X: https://x.com/josh_furstoss 👉 In this episode, Liam Lawson sits down with Josh Furstoss — founder of Spinout Studios and former CEO of Incued — to unpack his journey from cleaning blood off walls in a grocery store meat department to building and exiting a data intelligence startup. Josh shares his wild early job stories, how curiosity and enthusiasm launched his tech career, and the lessons learned working with government agencies on large-scale security projects. They dive deep into the creation and mission behind Incued, the moral drive for financial transparency, and Josh’s new focus with Spinout Studios — helping corporations turn dormant IP and data into profitable spinouts. The conversation also explores wealth, purpose, robotics, the future of work, and what truly brings peace and meaning after an exit. 📚 Chapters 00:00 Early Jobs and Wild Grocery Store Stories 04:40 Learning Sales at Best Buy and Samsung 08:10 Breaking Into Tech Through Cold Outreach 12:00 Corporate Life, Security Projects, and the FBI 17:10 Learning Value and Realizing Undervaluation 21:00 First Startup Failures and Founding Incued 25:20 Building Truth and Transparency Into Fintech 27:40 Anger, Pain, and Finding Purpose Post-Exit 33:30 Wealth, Status, and the Myth of Success 38:05 Building Spinout Studios — Founders vs Consultants 43:00 The Art of Spinouts and Niche Innovation 47:30 Midwest Private Equity Culture vs SF Startups 51:45 The Future of Robotics and Specialized Automation 53:40 Loneliness, AI Companionship, and Human Connection 56:27 The Future of Work and Economic Displacement 01:02:20 Why Josh Does What He Does 📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe ⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training Learn more about your ad choices. Visit megaphone.fm/adchoices

Connect with Cory: bluemoso.comlinked-agency.com 👉 In this conversation, Cory B shares his journey from early entrepreneurial ventures to founding BluMOSA, a LinkedIn agency dedicated to inspiring everyday individuals to find their voice and start their businesses. He reflects on the lessons learned from his early ventures, the importance of building strong team culture, and his approach to risk management. Cory also dives into the role of personal branding, the impact of outsourcing and AI on the future of work, and why being self-focused—not selfish—leads to more meaningful leadership and success. 📚 Chapters 00:00 Inspiring Everyday Entrepreneurs 01:53 Lessons from Early Business Ventures 07:01 Navigating Risk and Confidence in Entrepreneurship 13:27 The Accidental Birth of BluMOSA 17:07 Finding Your Voice and Brand Identity 21:28 The Comprehensive Offerings of BluMOSA 24:47 Team Culture and Motivation at BluMOSA 26:09 Leading by Example: The Importance of Hard Work 26:59 Hiring for Trust and Coachability 28:24 The Future of Work: Outsourcing and AI 30:45 Building a Supportive Team Culture 33:23 Vision for Growth: Supporting Families and Communities 35:41 Self-Focused Leadership: Balancing Personal and Team Needs 37:33 Finding Joy in Work: The Role of Passion 40:56 Optimism in the Face of Change: The Future of Work 43:08 Purpose-Driven Work: Why I Do What I Do 📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe ⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training Learn more about your ad choices. Visit megaphone.fm/adchoices

Connect with Sophie: https://www.linkedin.com/in/sophie-theodorou-89261b186/ Connect with Jett: https://www.linkedin.com/in/jett-miller-b31041314/ 👉 In this roundtable-style conversation, Liam Lawson sits down with Sophie (@teach2ai) and Jett Miller to explore the intersection of AI, content creation, and education. Sophie shares her journey from teaching math and science during the pandemic to becoming a full-time AI consultant, trainer, and content creator with over 100K followers. She explains how authenticity, consistency, and simplicity have fueled her growth on TikTok while working with brands like ClickUp, Bolt, and String. Jett, from DTC House, adds insights into scaling organic short-form content for startups and enterprise clients, revealing how AI-focused marketing campaigns go viral and drive real user growth. Together, they discuss industry pain points, the rise of AI influencers, the future of content authenticity, and why businesses of all sizes should rethink how they communicate value in the age of AI. 📚 Chapters00:00 Welcome Sophie and Jett 00:40 Sophie’s transition from teacher to AI creator 01:57 The viral TikToks that started it all 03:05 Why authenticity beats high production 04:41 Overcoming hesitancy in content creation 06:25 How Sophie and Jett started working together 08:24 Inside DTC House’s shadow accounts 10:01 Using AI tools for real client work 6:21 Why Sophie’s account stood out to Jett 27:42 Internet “money bros” and fake AI claims 50:23 From workshops to AI consulting 55:34 Pain points businesses face with AI \58:58 The challenge of scaling consulting work 01:00:39 Teaching adults vs. teaching students 01:03:19 What people really need to learn about LLMs 01:07:43 Why Perplexity stands out 01:09:01 Why people like working with Sophie 01:10:58 Why Sophie does what she does 01:14:01 Final advice for AI founders 📰 Join the Newsletter: [https://newsletter.theaireport.ai/subscribe] ⭐️ Get Enterprise Training: [https://www.upscaile.com/corporate-training] Learn more about your ad choices. Visit megaphone.fm/adchoices

Connect with Othmane Khadri: https://www.linkedin.com/in/othmane-khadri-b48162236/ 👉 Othmane Khadri shares his journey from working in startups to launching his own agency, emphasizing the importance of betting on oneself and the evolving landscape of AI and entrepreneurship. He discusses the challenges of marketing in a commoditized product environment, the significance of data in AI implementations, and his agency's unique approach to support early-stage startups. Othmane also reflects on the qualities of successful entrepreneurs, the cultural perceptions of entrepreneurship, and the importance of personal values and health in achieving success. 📚 Chapters 00:00 From Employee to Entrepreneur: A Pivotal Shift 05:42 The Future of AI and Entrepreneurship 11:27 Building a Unique Agency: Insights and Strategies 16:52 Navigating Early Stage Startups vs. Established Companies 22:30 The Role of Data in AI Implementation 28:17 Leveraging AI for Business Growth 34:26 The Human-AI Collaboration in Business 38:28 Incentivizing Talent in the Age of AI 40:50 Finding and Attracting High Ownership Talent 43:09 Hiring for Brains vs. Hands 44:54 The Importance of Incentives and Profit Sharing 48:35 The Evolution of Earleads and Branding 52:07 Common Traits of Successful Entrepreneurs 55:11 Learning from Failure and System Thinking 57:30 Cultural Perspectives on Entrepreneurship 01:05:43 Processing Failure and Personal Habits 01:07:42 Motivations Behind Entrepreneurship 📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe ⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training Learn more about your ad choices. Visit megaphone.fm/adchoices

Try breaker here: joinbreaker.ai/tair1 👉 In this conversation, Liam Lawson and Ben Billups dive into a wide range of topics—from the benefits of standing desks and coworking spaces to the impact of AI on technology and marketing. They discuss the transition from agency work to SaaS, the importance of email marketing and newsletters, and how AI is reshaping the future of communication. Ben also shares insights from building his unique email platform, Breaker, highlighting ethical marketing, solving real customer problems, and navigating compliance challenges. The episode wraps with forward-looking predictions on tech trends, audience ownership, and the evolving role of AI in business. 📚 Chapters 00:00 Introduction and Standing Desks 02:52 Coworking Spaces and Venture Capital 05:42 The Future of Tech and AI 08:43 Vibe Coding and GPT-5 11:23 Product Market Fit and Email Marketing 14:37 The Rise of Newsletters 17:12 Creating Unique Content 20:17 Transitioning from Agency to SaaS 22:45 Mindset Shift in SaaS Development 34:23 Navigating SaaS Development Challenges 35:59 Differentiating Breaker in the Email Market 37:50 Innovative Lead Generation Strategies 41:58 Target Audience and Market Fit 43:44 Understanding Email Compliance and Deliverability 47:22 The Impact of AI on Business and Compliance 48:18 Building a Defensible Business Model 50:48 The Future of Audience Ownership 56:45 Rented vs. Owned Audiences 57:42 The Role of Platforms in Business Growth 59:41 Customer Support in a Scaled Environment 01:01:16 AI Integration in Business Processes 01:03:29 Predictions for the Future of Tech and AI 📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe ⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training Learn more about your ad choices. Visit megaphone.fm/adchoices

Connect with Manthan Patel: https://www.linkedin.com/in/leadgenmanthan/ 👉 In this conversation, Manthan Patel shares his journey into AI and content creation, highlighting the role of altruism, self-improvement, and openness in building a meaningful career. He discusses his early experiences with AI, his work with Vector Shift AI, and the lessons learned from his mentor, Albert. Manthan also dives into course development, the importance of understanding audience psychology, and the evolution of lead generation strategies. Along the way, he emphasizes the value of personal branding, effective time management, and human connection in high-ticket sales. The discussion closes with advice for those entering the AI industry—reminding us that technical expertise is no longer a barrier to starting. 📚 Chapters 00:00 Core Principles of Altruism and Self-Improvement 02:09 First Encounters with AI Technology 04:12 Working with Vector Shift AI 07:45 Lessons from Albert: Entrepreneurship Insights 09:20 Course Development Journey 13:39 Evaluating Course Success and Growth 16:34 Understanding the Audience 18:53 The Evolution of Lead Generation 23:00 Cold Outreach Strategies and Effectiveness 25:00 The Human Element in High-Ticket Sales 28:38 Understanding Client Demographics and Success Stories 30:28 Diverse Clientele: From Vending Machines to SaaS 32:52 Building a Social Media Presence: Strategies for Growth 35:23 The Psychology of Content: Hooks and Engagement 37:17 Daily Routines: Balancing Work and Learning 44:21 The Importance of Personal Branding 52:06 Demystifying AI: Accessibility for All 📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe ⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training Learn more about your ad choices. Visit megaphone.fm/adchoices

Connect with Sabahudin: https://www.linkedin.com/in/sabahudin-murtic/ 👉 In this conversation, Liam Lawson and Sabahudin Murtic discuss the impact of AI on critical thinking, the journey of entrepreneurship, and the importance of building a personal brand on LinkedIn. Sabahudin shares his experiences with AI tools, learning through experimentation, and the significance of community and networking in achieving success. They also delve into client relationships, crafting offers, and provide advice for aspiring entrepreneurs looking to navigate the AI landscape. 📚 Chapters 00:00 The Impact of AI on Critical Thinking 04:42 Personal Journey into AI and Entrepreneurship 09:16 Building a Brand on LinkedIn 13:57 Learning and Experimentation in AI 18:45 The Importance of Community and Networking 23:14 Navigating Client Relationships and Sales 27:50 Technical Infrastructure and Tools for Success 32:24 Crafting Offers and Understanding Client Needs 37:07 Advice for Aspiring Entrepreneurs in AI 📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe ⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training Learn more about your ad choices. Visit megaphone.fm/adchoices

Sign up to Orbit Flows here: orbitflows.com?via=theaireport Summary In this conversation, Ethan Reeves shares his journey from a young programmer to co-founder of Orbit Marketing, discussing the evolution of AI and its impact on marketing. He emphasizes the importance of email marketing, trust, and authority in building successful businesses. Ethan also delves into the challenges of navigating the SaaS landscape, the significance of having a structured process in place, and the joy of creating and building products that provide value to users. Chapters 00:00 Introduction to Ethan Reeves and His Background 02:57 The Evolution of AI and Machine Learning 05:36 Founding Orbit Marketing and Its Journey 08:43 The Power of Email Marketing and Newsletters 11:31 Trust, Authority, and Credibility in Email Marketing 14:09 The Role of Personal Stories in Newsletters 17:23 Orbit Marketing's Approach to Client Engagement 20:13 Building Trust Through Value in Email Communication 23:05 The Challenges of Building AI SaaS Products 26:02 The Myth of Easy Software Development 28:58 The Reality of SaaS Valuations and Market Expectations 32:53 Navigating the Vaporware Landscape 35:41 Building a Sticky Software Product 37:31 The Evolution of OrbitFlows 39:22 The Power of Context in AI 42:02 Creating Value and Reducing Friction 44:28 The Importance of Stickiness in Software 46:00 Execution and Vision in Startups 49:56 The Pace of Development 56:56 Aiming for the Stars: The Future of OrbitFlows Sign up for the newsletter: https://newsletter.theaireport.ai/subscribe Join the community: https://www.skool.com/the-ai-report-community/about Learn more about your ad choices. Visit megaphone.fm/adchoices

🔗 Connect with Chris here In this podcast episode, Chris Raulf shares his extensive journey in the SEO industry, starting from his early days in 1996 to the present, where he emphasizes the transformative impact of AI on search engine optimization. He introduces the concept of Generative Engine Optimization (GEO) and discusses the importance of E-E-A-T principles in creating valuable content. Chris also contrasts white hat and black hat SEO strategies, explains the shift from traditional SEO to content marketing, and highlights the evolving landscape of search engines and content distribution. He addresses the implications of AI on search traffic and shares insights on micro SEO strategies and the role of directories and featured profiles in enhancing online visibility. Finally, Chris reflects on the future of SEO and the importance of continuous learning in a rapidly changing environment, driven by his passion for the field. Takeaways Chris Raulf transitioned into SEO after years in marketing roles. Generative Engine Optimization (GEO) is a new term gaining traction. E-E-A-T principles are crucial for ranking high in search results. White hat SEO strategies comply with Google's guidelines, while black hat strategies do not. The shift from SEO to content marketing is significant in today's landscape. Search engines are evolving to index content from various platforms. AI is changing how search traffic is generated and managed. Micro SEO strategies involve creating superior content using AI insights. Directories can enhance visibility if they rank well in search results. Continuous learning is essential to stay ahead in the rapidly evolving SEO landscape. Titles The SEO Journey: From 1996 to Today Generative Engine Optimization Explained Sound bites "I just decided after reading a horoscope." "Search everywhere optimization is the new SEO." "Impressions go up, clicks stay the same." Chapters 00:00 Introduction to SEO and Chris Raulf's Journey 02:58 Understanding Generative Engine Optimization (GEO) 05:52 The Importance of E-E-A-T Principles in SEO 08:32 Navigating Domain Authority and Trustworthiness 11:18 Content Creation: Quality Over Quantity 14:14 Transitioning from SEO to Content Marketing 16:54 The Evolution of Search Engines and User Behavior 19:29 Search Everywhere Optimization: A New Approach 22:22 The Impact of AI on Search Volume and Traffic 25:14 Micro SEO Strategies and AI Integration 28:27 Creating a Hybrid Content Strategy 31:39 Maximizing Content Value Through AI Tools 33:02 Understanding Robots.txt and LLM.txt 35:42 Leveraging Featured.com for Personal Branding 38:58 The Role of Directories in SEO 43:12 International Perspectives on SEO Trends 47:03 The Future of AI in SEO 50:41 Continuous Learning in a Rapidly Evolving Field 55:37 Passion for SEO and Its Impact on Career Learn more about your ad choices. Visit megaphone.fm/adchoices

🎯 Replace Influencers with AI? This Guy Already Did. This week on The AI Report, host Liam Lawson chats with Andrew DiLullo—performance marketer and founder of AdCrunch Digital—about how AI is transforming ad creative right now. Andrew walks us through his full stack: from pulling TikTok scripts to feeding ChatGPT, generating AI spokespeople with Arcads, and scaling UGC videos at $20 a pop. No fluff, just the full system. We also get into: • The fall of traditional influencers • Real vs fake UGC—can you tell anymore? • Why Meta’s push for AI-only ads might backfire • The ethics of “making up” testimonials with GPT • What AI still can’t do (yet) Whether you’re a founder, creative, or just AI-curious, this one’s a masterclass. 💡 Read The AI Report (it’s free): https://theaireport.beehiiv.com/subscribe 📩 Want to work with Andrew? Visit https://adcrunchdigital.com Learn more about your ad choices. Visit megaphone.fm/adchoices

This week on The AI Report, Liam Lawson is joined by Eric Sui—indie hacker, AI builder, and creator of Agents Playbook—to talk about designing with agents instead of apps. Eric breaks down how he moved from casual GPT-3 experimentation to building structured AI workflows that solve real problems. They dig into agent UX, why many AI tools fall short, and how indie builders can actually move faster by thinking in systems. Also in this episode: • Why agents are more than just automations • How no-code stacks can launch powerful workflows • Lessons from “building in public” on Twitter • How to find product ideas in your own frustration • The future of indie AI projects and agent-led design Whether you’re trying to build smarter tools or just want to understand how agents are reshaping what software can do, this episode is packed with insight. Subscribe to The AI Report: https://theaireport.beehiiv.com/subscribe Join the community: https://www.skool.com/the-ai-report-community/about Chapters: (00:00) Intro to Eric Sui (01:12) Hacking on GPT-3 Before It Was Popular (03:05) Where AI Products Go Wrong (04:56) User Experience for Agents (06:29) Thinking in Systems, Not Features (08:15) How LLMs Shift the Tool Paradigm (09:53) Launching With No-Code + GPT (11:27) Product Validation as Self-Therapy (13:10) Getting Better Feedback Faster (14:52) Public Building as a Strategy (16:47) Twitter Feedback Loops (19:01) Starting From Zero Audience (20:45) Workflow Design and Mental Models (22:39) How to Think With Agents (24:26) Indiehacking, Investment, and Staying Lean (26:11) Staying Close to Your Problem Space (27:53) Teaching Builders Through Agents Playbook (29:45) What’s Next for Eric (31:22) Where to Connect Learn more about your ad choices. Visit megaphone.fm/adchoices

This week on The AI Report, Liam Lawson is joined by Quinn Favret, co-founder and COO of Tavus, to explore how digital humans are reshaping communication across industries. Quinn shares how Tavus is building AI agents that can engage in real-time, emotionally intelligent conversations—complete with facial expressions, dynamic tone, and personalized responses. The goal isn’t just automation. Its presence. And Quinn believes AI might actually help humans connect more deeply, not less. They dig into how Tavus trains its models, where conversational AI is already creating real impact, and what it takes to design an experience that feels human, without trying to be one. Also in this episode: • Why the uncanny valley is a storytelling challenge • What it means to create “brand as soul” • How Tavus enables sales, HR, education, and therapy • Why cultural nuance and context matter more than realism • The role of AI in making communication more accessible This is a forward-looking episode for anyone building or using AI to solve problems that rely on trust, attention, and human connection. Subscribe to The AI Report: https://theaireport.beehiiv.com/subscribe Join the community: https://www.skool.com/the-ai-report-community/about Chapters: (00:00) Intro and Quinn’s Background (01:03) Engineering, Startups, and YC (03:20) From ML Forecasting to AI Video (05:08) How Tavus Got Started (06:21) Launching During COVID (07:28) What Tavus Actually Does Today (09:05) Real Use Cases in Sales, Healthcare, and Media (11:35) Developer Tools and Agentic Systems (12:31) Building Machines That Adjust to Us (14:39) What Makes a Conversation Feel Real (16:46) Cultural and Contextual Communication (17:52) How AI Understands People Over Time (20:45) Could AI Be Better at Talking Than We Are? (23:03) Why AI Therapy Isn’t as Crazy as It Sounds (24:40) The Art of Listening and Speaking (28:33) How Quinn Practices Communication in Life and Work (30:41) The Meaning Behind the Tavus Brand (33:29) Tech, Storytelling, and Soul (35:27) UX Gaps and Human Expectations (36:43) Tavus in Context: Not Just Avatars (38:23) What an AI-Powered Future Might Look Like (40:04) Balancing Tech and Humanity (41:19) Quinn’s “Why” (44:54) Where to Connect Learn more about your ad choices. Visit megaphone.fm/adchoices