Human Work After AI

AI is changing manufacturing, but the deeper story is about leadership. As more work becomes automated, the central questions are no longer just technical. They are human: how to communicate change, how to keep teams accountable, and how to adapt without breaking trust.In this episode, Chris Fanchi speaks with Randy Carr, CEO of World Emblem, about leading a global manufacturer through disruption, lean transformation, and rapid investment in technology. Randy explains why he sees AI as part of company culture, why leaders must communicate clearly when jobs feel threatened, and why underinvestment in technology can become a long-term strategic risk.They discuss the link between lean systems and AI adoption, the importance of strong data structure, where automation is moving fastest, and why human value may increasingly center on dexterity, relationships, judgment, and sales. The conversation also explores a subtler consequence of AI: speed can increase output while weakening memory, reflection, and managerial clarity if leaders are not careful.This episode sits squarely inside the larger Human Work After AI project: understanding how organizations can adopt AI without losing their people, their culture, or their sense of responsibility.Guest: Randy Carr, CEO, World EmblemWorld Emblem: https://www.worldemblem.com/

AI adoption doesn’t break where most people think it breaks. It often fails after the demo, when the organization has to mobilize new workflows, new decision rhythms, and new trust mechanisms.In this episode, Philip Odelfelt, CEO of Datavations, explains how advanced analytics platforms earn the right to influence real executive decisions: by turning fragmented data into a credible source of truth, continuously validating signal quality, and reducing manual work without pretending judgment and relationships can be automated away. We discuss trust as a competitive edge, the shift beyond dashboards toward more conversational interfaces, and the discipline required in an AI landscape where many R&D bets won’t pay off.

In this episode of Human Work After AI, Chris Fanchi speaks with Niel Robertson (CEO of Winslow) about an underappreciated shift: modern organizations produce massive “digital exhaust” through calls, chats, and documents, and AI is making that exhaust usable for the first time.They discuss why transcripts are becoming a core dataset inside companies, how “vibe coding” is changing what non-technical teams can build, what the post-SaaS debate misses about maintenance and extensions, and why HR is a natural early home for AI assistance. The conversation stays focused on leadership, trust, and what it takes to turn experimentation into durable capability.

Most leaders want better hires, faster. But as AI reshapes recruiting, the deeper issue is what hiring systems are actually selecting for, and what they quietly reward.Chris Fanchi speaks with Fletcher Wimbush, CEO of Discovered, about end-to-end recruitment automation, structured talent assessment, and the tradeoffs leaders face as hiring becomes more scalable and less human-driven. They discuss bias, candidate experience, feedback risk, the future of the resume, and a provocative possibility: that removing humans from parts of the process may improve fairness and decision quality in certain roles.At the center is a durable leadership principle: as skills become easier to simulate, integrity, motivation, and judgment become harder to ignore.

Most leaders want better hires, faster. But as AI reshapes recruiting, the deeper issue is what hiring systems are actually selecting for, and what they quietly reward.Chris Fanchi speaks with Fletcher Wimbush, CEO of Discovered, about end-to-end recruitment automation, structured talent assessment, and the tradeoffs leaders face as hiring becomes more scalable and less human-driven. They discuss bias, candidate experience, feedback risk, the future of the resume, and a provocative possibility: that removing humans from parts of the process may improve fairness and decision quality in certain roles.At the center is a durable leadership principle: as skills become easier to simulate, integrity, motivation, and judgment become harder to ignore.

Construction is supposedly "behind" on technology. But talking to people actually implementing AI in that world reveals something most industries haven't admitted yet: the friction isn't about the tools. It's about what happens to expertise pipelines, trust relationships, and human judgment when you automate the work that used to teach people how to think.Eric Helitzer spent a decade as both a subcontractor and general contractor before building SubBase, a procurement software for trade contractors. What he's learned watching AI hit manual workflows maps directly onto what's happening in white-collar work right now. Companies celebrating revenue growth without headcount growth. Junior roles that just never get filled. Apprenticeship systems quietly hollowing out because AI does the entry-level work now.We discuss why invisible job displacement happens before layoffs, the collapse of apprenticeship pipelines when junior work gets automated, where AI genuinely improves work versus where it creates new dependencies, and why educational communication matters more than the technology itself. This isn't really about construction; it's about what happens when automation meets work that's always been learned through doing, relationship-based, and trust-heavy.The pattern is already visible. Most people just aren't naming it yet.

Automation is accelerating across organizations — but not everything can be automated.In this episode, Chris Fanchi speaks with Chris Samaras about the real limits of automation and why human judgment, accountability, and leadership still matter in AI-driven workplaces. They explore where automation helps, where it quietly breaks down, and why efficiency is not the same thing as responsibility.This conversation is for leaders and managers trying to adopt AI without losing trust, context, or human decision-making — and for anyone thinking seriously about what work still requires humans as automation expands.

AI didn’t just speed up the work—it changed who gets hired, paid, and promoted.In this episode, Andrew Hewitt explains how AI is reshaping teams, vendors, and leadership decisions.AI adoption isn’t just a technology shift—it’s a workforce and leadership reckoning.In this episode of Human Work After AI, Andrew Hewitt (Founder & CEO of YohDev) explains how AI coding agents, automation, and internal tools are changing how companies structure teams, reduce contractor costs, and rethink service-based business models.Andrew shares real examples from his own firm—including a 40% reduction in contractor spend without reducing output—and why leaders must move beyond hourly labor models toward productized, trust-driven work.This conversation is especially relevant for managers, executives, and founders navigating:• AI-driven productivity gains without burning out teams• Why hourly work breaks in an AI world• When automation helps—and when it quietly creates talent risk• How human connection becomes a competitive advantage• Why service firms must productize or risk being replaced📌 Topics we cover:00:00 Why service businesses must productize in the AI era 12:30 How AI coding agents are already in production 21:50 What happens when AI flattens contractor demand 24:40 Why hourly compensation fails with AI 30:00 Human skills that matter more as automation increases 31:50 Who AI will help—and who it will leave behind 📘 Want a leadership framework for managing AI responsibly?Check out Managing AI — a practical guide for leaders navigating workforce transformation, trust, and human-centered AI.https://bignorthnetwork.com/managing-ai🌐 Learn more about Big North Network:Helping leaders adopt AI without losing their people, culture, or trust.https://bignorthnetwork.com/🌐 Work with Andrew and YohDev:Full-stack engineering & AI-powered development: https://yohdev.com👍 Subscribe for weekly conversations on AI, work, and leadership.💬 Comment below: What part of your job do you think AI will change first?

Most culture efforts fail at the moment they’re supposed to matter most: everyday leadership behavior. In this conversation, Chris Fanchi talks with John Betancourt, CEO of Humantelligence, about what AI reveals — not replaces — in how people lead, communicate, and make decisions at work.They explore why traditional culture programs rarely change behavior, how AI personalization only works when leaders actually care enough to adapt, and why judgment can’t be automated even as tools become more powerful. The throughline is responsibility: as AI becomes part of every role, leadership becomes harder to fake... and more important than ever.GuestJohn Betancourt — CEO, Humantelligencehttps://humantelligence.comhttps://askaura.ai/More on AI, leadership, and work:https://bignorthnetwork.com

Artificial intelligence isn’t creeping into construction, it’s crashing in at full speed. And according to Alex Teplitxky, we’re not just optimizing workflows anymore… we’re redefining what counts as human work.In this episode of Human Work After AI hosted by Chris Fanchi, Alex breaks down the rapid adoption of AI in construction, why the industry hit a tipping point in 2025, and what happens when a single analyst can suddenly manage 7-8 projects instead of three. He also goes deep on the existential side: mechanical “parallel humanity,” superintelligence risks, and why workers are fleeing white-collar roles for the trades.This is one of the most candid conversations yet about how AI is reshaping not only labor markets, but humanity itself.🔥 Key Themes- Why construction went from “AI is cute” to “AI is essential” practically overnight- The real economic impact: when one person can do the work of an entire team- Agentic AI and the shift toward company-owned internal agents- Why young workers are abandoning office jobs for skilled trades- The boundary between “organic humanity” and “mechanical humanity”- Alex’s optimism (creative empowerment, mobility) and deepest fears (superintelligence, extinction risk)📌 Chapters00:00 – Can we create a “parallel mechanical humanity”? 01:30 – Alex’s background: Silicon Valley summers & the pull of tech 02:44 – Getting into construction tech 11:24 – Why digitizing construction is so hard 12:35 – What SmartPM actually solves 15:51 – Why AI + math is the real engine of project controls 18:21 – The origins of generative scheduling 19:30 – How construction attitudes toward AI flipped almost overnight 22:30 – Agentic AI and internal company-built agents 24:17 – Data control, privacy, and the rise of proprietary AI 25:07 – Is AI augmentation… or quiet job elimination? 26:27 – Workers fleeing office jobs for the trades 27:48 – The coming “AI layoffs” nobody wants to say out loud 28:50 – Will human judgment remain essential? 30:41 – Are humans just organic algorithms? 31:53 – Automation, safety, and where society goes next 32:40 – Alex’s optimism: self-driving lifestyle & creative empowerment 33:35 – Alex’s fears: superintelligence and existential risk 36:30 – Could AI already be hiding from us? 37:13 – The positive and dark sides of our AI future 38:03 – Where to find Alex & SmartPM 📚 ResourcesSmartPM - https://www.smartpm.comConnect with Alex on LinkedIn - https://www.linkedin.com/in/alexteplitxky/AI Transition Management Consulting with Chris Fanchi - https://bignorthnetwork.com/📘 Get the Book — Managing AI: Humans, Agents, and the Future of Work (Available Now!)Chris Fanchi's new book explores how AI is reshaping white-collar work, why trust infrastructure matters more than ever, and what it takes to stay human in an age of agents and automation.👉 Learn more and order now athttps://bignorthnetwork.com/managing-ai#AI #FutureOfWork #ConstructionTech #SmartPM #Automation #AgenticAI #HumanWorkAfterAI

AI is reshaping public services, from Medicaid eligibility to behavioral health treatment planning, but the biggest shift isn’t automation. It’s the rising importance of human judgment, governance, and critical thinking in a world flooded with machine-generated information.In this episode of Human Work After AI, host Chris Fanchi sits down with Connor Norwood, Founder & CEO of Delineate LLC, to explore how government, healthcare systems, and consulting firms are navigating AI adoption while protecting public trust and human responsibility.Connor brings a rare lens: academic researcher → state CDO → COVID-19 multi-agency data leader → founder. His perspective on AI governance, health workforce shortages, legal liability, and expert-human augmentation is one every tech leader needs to hear.🔑 Key Themes- Why critical thinking becomes the most important workforce skill in an AI-first world- Why AI will replace some jobs, but will create entirely new ones that require reskilling- How expert-human augmentation can ease the mental health provider shortage- The hidden risk for companies that “ban AI” but don’t create policies- Why public sector AI adoption is slowed by outdated statutes and risk-averse incentives- How AI changes discovery, research, and consulting workflows⏱️ Chapters00:00 — Opening highlight01:02 — Introduction to Connor Norwood & Delineate01:58 — From pre-med → academia → state government → data leadership04:28 — The origins of Delineate & the art of data storytelling06:39 — Why executives need narrative clarity, not more dashboards09:44 — What “tuning your message to the audience” really means10:52 — What Delineate does today (government + sports + healthcare + AI)12:55 — AI governance: why orgs can’t put their head in the sand13:03 — Expert human augmentation in healthcare15:26 — How clinicians perceive AI (and why definitions matter)18:48 — The fragmented regulatory landscape21:12 — Government constraints: legacy rules, risk tolerance, budget cycles23:34 — Why efficiency in public services matters26:23 — How Delineate uses AI to accelerate research & discovery28:21 — Are jobs being replaced? Connor’s view on job creation & reskilling30:38 — Why critical thinking still matters more than ever31:24 — Legal liability: AI outputs, copyright, and the black box34:03 — Why proactive guardrails matter36:17 — Creating realistic AI policies in organizations36:45 — Connor’s vision for improving public service with AI38:17 — Where to find Connor38:33 — Closing🔗 ResourcesDelineate LLC: https://delineateconsulting.comConnect with Connor: http://www.linkedin.com/in/connorwnorwoodChris Fanchi / Big North: https://bignorthnetwork.com📘 Order Chris’s Book — Managing AI: Humans, Agents, and the Future of WorkAvailable Now!👉 https://bignorthnetwork.com/managing-ai

“Most titles will remain. What will change is what people do within those titles.”In this episode of Human Work After AI, Chris Fanchi talks with Chandan Maruti (CEO of Twig.so) about using agentic AI to scale customer support and success without sacrificing empathy. Twig acts like a coworker for support agents, handling instant answers and triage so humans can focus on pattern-finding, prevention, and relationships.We cover:- Why CS/S roles won’t disappear, but will become far more strategic as AI takes the repetitive load.- The “thousand CSMs” idea: sensing problems earlier across every user interaction.- Agentic support: AI handles, escalates, and routes while humans oversee and tackle the hard cases.- Measuring value with a 7-dimension evaluation to avoid AI oversell/undersell traps.- What a “perfect AI–human hybrid” support team looks like in the next 2–4 years.Chapters00:00 — Opening highlight (roles change, not titles)00:48 — Intro: Twig as an AI coworker for support agents03:04 — Chandan’s path: engineering → Lambda School → CS leadership05:44 — The CS pain: high cost, limited bandwidth, slow signal flow10:17 — “A thousand CSMs”: using AI to listen, sense, escalate early12:21 — Retention by rigor: the 7-metric outcome framework16:12 — Humans stay: AI does the repetitive, people do prevention & relationships19:23 — Next step: from data deluge to actionable signals for CSMs23:54 — Agentic tools and distributable expertise (runnable knowledge)36:34 — The ideal AI–human hybrid support org (instant response, smart triage)38:01 — Where to find Twig + outcomes-first mindsetResourcesTwig.so — outcomes-first AI for support & success: https://www.twig.soSteward your people through the AI transition with Chris Fanchi's Big North Network — https://bignorthnetwork.comManaging AI: Humans, Agents, and the Future of Work (out now!)If this episode helped you reframe human + agent workflows, dive deeper in Chris Fanchi's new book, Managing AI - a pragmatic playbook for leaders on trust, metrics, and org design in the agentic era. Order your copy today: https://bignorthnetwork.com/managing-ai

If every real estate agent gets AI superpowers, what still sets the best apart? For Biju Ashokan (Founder & CEO, Radius), the answer is clear: proactive AI to remove the grunt work, and human judgment to win the moment that matters. In this episode of Human Work After AI, Biju breaks down MEL, Radius’s AI assistant that builds live client personas, schedules showings, drafts offers, and acts proactively, not just reactively like most chat tools. He argues the enduring edge is interpersonal skill, negotiation, and local context, even as AI levels the playing field.What we cover (highlights):- Why Radius calls itself a software company with a brokerage license and how the model works (subscriptions + per-transaction)- How MEL gets proactive and creates a living client profile from calls, texts, email, and search behavior- Why human skills become more important when AI gives everyone similar tools (negotiation, network, local knowledge)- The future: fewer agents, more professional teams, higher throughput per agent, and likely commission compression over time- Data privacy, team-scoped AI instances, and keeping human-in-the-loop for liability and quality controlBiju’s ultimate takeaway about AI: the same thing that excites him about AI also scares him - the unknowns of the next 10 years of work.Chapters00:00 – Highlight: “Interpersonal skills will stand out when AI levels the field.”02:49 – Software company with a brokerage license03:15 – Vision, then AI’s 360° rethink of real estate software04:29 – Research first: six months inside agent offices; hiring lessons08:17 – Agents want independence; Radius builds the infra to enable it10:27 – Where AI fits: repetitive workflows → MEL assistant12:03 – From reactive to proactive: MEL books showings, sends CMAs13:55 – What stays human: negotiation, network, local context15:44 – GTM update: 100+ brokerages, 1,000+ agents, new states opening16:30 – Teams growing despite a down market; time-back → growth19:20 – One platform vs. tool soup; MEL keeps data in sync21:45 – Fewer agents, more productivity; likely commission compression26:51 – Human-in-the-loop, feedback loops, liability guardrails29:49 – Final remarks: optimism and uncertainty about jobs aheadResourcesLearn more about Radius — https://radiusagent.comGrow your revenue with host Chris Fanchi's Big North Marketing — https://bignorthmarketing.comConversations like this feed the new book "Managing AI: Humans, Agents, and the Future of Work" by Chris Fanchi — releasing November 18. Visit bignorthmarketing.com/managing-ai to learn more and pre-order today!

What happens when AI stops being a classroom distraction and starts becoming the assistant every educator needs?In this episode of Human Work After AI, host Chris Fanchi sits down with Dr. Mohamed Farag, Founder of Analytics 4 Everyone and Professor at Carnegie Mellon University, to explore how AI can transform higher education by freeing faculty from repetitive tasks and restoring time for what matters most: teaching, mentoring, and inspiring critical thinking.From his journey from Egypt to the U.S. to founding a company at the intersection of academia and AI, Mohamed shares lessons on innovation, resilience, and designing systems that preserve trust, privacy, and creativity in learning.If you’re leading a team, teaching, or building AI-driven solutions, this episode is a must-listen on what it takes to bring humanity back into technology.⏱️ Chapters00:00 The Future of Teaching with AI00:43 Introduction: Human Work After AI01:30 Mohamed’s Journey from Egypt to Carnegie Mellon05:00 Discovering AI’s True Potential07:05 The Birth of Analytics 4r Everyone08:40 Early Podcast Search Innovation10:45 From B2C to B2B: Pivoting Toward Higher Education12:50 Faculty Burnout and the AI Solution14:45 Which Universities Are Adopting AI Fastest16:45 Protecting Privacy and Intellectual Property19:30 Building Secure, SOC 2 Certified AI Systems21:00 Lessons from Startup to Academia23:50 Go-to-Market Strategy and University Pilots26:00 The Human Role in the AI-Powered University30:10 Advice for Educators and Technologists33:00 Closing Reflections📚 ResourcesAnalytics 4 Everyone: https://a4e.techConnect with Mohamed: http://www.linkedin.com/in/dr-faragBig North Marketing: https://bignorthmarketing.com💡Looking to better manage your team through the AI transformation?Coming November 18th, 2025, the new book "Managing AI: Humans, Agents, and the Future of Work" by Chris Fanchi is a deep dive into the challenges facing executives and leaders at the forefront of AI. Pre-order your copy and get a free bonus chapter today.👉 Learn more at https://bignorthmarketing.com/managing-ai

AI is reshaping how things are made, from the shop floor to the supply chain.In this episode of Human Work After AI, Chris Fanchi speaks with Zakary Smith, CEO of SensFlo, about how artificial intelligence and industrial IoT are transforming manufacturing — not by replacing workers, but by redefining how they collaborate with machines.SensFlo’s AI-powered platform connects equipment, software, and people across global factories to improve efficiency, safety, and data transparency. Zakary shares how he’s helping manufacturers transition from fragmented operations to fully interoperable, semi-autonomous ecosystems, and what that means for the next generation of skilled labor.They explore:- How AI is accelerating the digital transformation of manufacturing- Why “interoperability”, not full automation, defines the smart factory- The real opportunities (and limits) of robotics over the next decade- How AI creates new skilled labor roles instead of erasing them- Ethical design and data transparency in human-machine systemsChapters0:00 Intro – AI meets manufacturing1:27 Zakary’s origin story: from STEM curiosity to entrepreneurship4:37 Discovering inefficiencies on the factory floor6:23 What SensFlo does (explained simply)8:02 How manufacturers adopt AI today10:25 Build vs. buy: choosing the right AI stack13:13 Worker fear vs. executive excitement15:45 What AI can’t yet do17:51 Robotics and “the Optimus problem”18:48 The rise of new skilled labor and upskilling culture22:33 Ethical AI and data transparency24:39 What the smart factory of the future looks like27:28 The next phase for SensFlo🔗 ResourcesSensFlo: https://sensflo.aiConnect with Zakary Smith: http://www.linkedin.com/in/zakarytsmithBig North Marketing: https://bignorthmarketing.com👉 If you’re a founder or tech leader navigating AI transformation, Big North Marketing helps you turn your expertise into a growth engine through podcasts, strategy, and storytelling that build real relationships.Learn more at bignorthmarketing.com.

AI may be reshaping small business marketing, but the ones who thrive will be those who adapt.In this episode of Human Work After AI, Chris Fanchi speaks with Vitaly Motuz, founder of Reviews on My Website and Text Ninja, about how he bootstrapped a SaaS company serving 3,000+ local businesses and what he’s learned about trust, automation, and human connection in a digital-first world.They discuss how Vitaly turned a simple idea into a growing SaaS platform, why he’s cautious but optimistic about AI, and what skills will matter most as automation transforms local business operations.🕒 Chapters0:00 Intro – The future of jobs and adaptability1:00 Vitaly’s origin story: From engineer to SaaS founder5:00 Turning a simple widget into a global review platform8:00 Doing things that don’t scale—and why it matters10:30 Learning to let go of control as a founder14:00 Using AI inside the product: automated review replies17:00 How local businesses are reacting to AI19:00 The widening gap between those who embrace and ignore AI22:00 Why adaptability beats fear in an AI world25:00 Human touch vs. automation: where to draw the line27:00 The privacy question we’re not asking enough30:00 What’s next for Reviews on My Website and Text Ninja💡 Key Themes- The tension between automation and authenticity- Why adaptability is the ultimate future-of-work skill- The coming trust gap between businesses that use AI wisely—and those that don’t🔗 ResourcesReviews on My Website: https://reviewsonmywebsite.comBig North Marketing: https://bignorthmarketing.comIf your SaaS or agency is navigating the same AI transformation, visit BigNorthMarketing.com to explore how to grow smarter, not just faster.

AI is reshaping how we build software - but can it finally fix the multi-trillion dollar inefficiencies holding the industry back?In this episode of Human Work After AI, host Chris Fanchi sits down with Noel Wilson, Founder of Intelligenic, to explore how AI can automate the entire software development lifecycle, from discovery and design to coding, QA, and deployment.Noel shares his journey from decades in consulting to launching Intelligenic, his mission to solve systemic inefficiencies in software, and why he believes AI won’t replace developers but will transform their roles forever.In this episode:- Why software development is still stuck in inefficiency- How Intelligenic automates discovery, design, code, and QA- Why AI is a force multiplier for startups, enterprises, and consultants- The future of junior engineers in an AI-driven industry- What skills will define the next generation of product builders⏱ Chapters0:00 Intro & Noel’s big idea1:11 Growing up in Silicon Valley & early tech spark6:27 Consulting career and inefficiencies in software11:31 Founding Intelligenic & validating the idea16:30 How AI powers the platform21:44 Comparing Intelligenic to coding assistants24:42 Adoption across startups, consultants, and enterprises31:09 Go-to-market strategy and LinkedIn traction35:44 How AI changes software engineering roles39:11 Skills the next generation must master41:57 The future: fixing the multi-trillion dollar problem📌 ResourcesIntelligenic: https://intelligenic.aiConnect with Noel on LinkedIn: https://www.linkedin.com/in/noel-wilson-39b86/Grow your revenue with Chris Fanchi's Big North Marketing: https://bignorthmarketing.com🔔 Subscribe for more conversations on the future of work, AI, and technology.#FutureOfWork #AIandHumans #SaaSStrategy

AI has lowered the barrier for hackers, turning novices into advanced attackers almost overnight. What does this mean for identity, cybersecurity, and the future of work?In this episode of Human Work After AI, we speak with Eli Farhood, founder of KatshID, a company pioneering biometric authentication that eliminates passwords and protects digital identities. Eli shares his journey from finance to cybersecurity, and why he believes AI demands a paradigm shift in identity security.🔑 What you’ll learn in this conversation:- How AI automation and generative models change the threat landscape for businesses- Why credentials are the weakest link in identity security — and why eliminating them matters- The role of biometrics and device-agnostic solutions in securing the future of work- Lessons from finance and risk management that apply to today’s digital economy⏱️ Chapters00:00 – AI’s impact on hacking & identity theft01:00 – From finance to cybersecurity: Eli’s founder story07:00 – Stress, risk, and the decision to pivot into tech12:00 – Fake news, bots, and early signals of identity fraud17:00 – Personal story of identity theft and its fallout23:00 – Why legacy systems can’t protect us in the AI era26:00 – Biometrics, hand scans, and eliminating credentials33:00 – What business leaders need to know about modern cyber threats47:00 – The future of work, utilities, and national security in an AI age🔗 ResourcesKatshID: https://katshid.comBig North Marketing: https://bignorthmarketing.com💡 If you’re a SaaS founder or marketing leader navigating AI disruption, visit bignorthmarketing.com to explore how we help SaaS companies grow with clarity and confidence.

𝗠𝗼𝘀𝘁 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗮𝗿𝗲 𝘀𝘁𝗶𝗹𝗹 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗲𝗱 𝗮𝗿𝗼𝘂𝗻𝗱 𝗵𝗶𝗲𝗿𝗮𝗿𝗰𝗵𝗶𝗲𝘀 - 𝗲𝘃𝗲𝗻 𝗮𝘀 𝗔𝗜 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝘀 𝗲𝘃𝗲𝗿𝘆 𝘁𝗮𝘀𝗸 𝗮𝗻𝗱 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻.Francisco Marin, CEO of Cognitive Talent Solutions, believes that’s a dangerous mismatch. His guiding idea: the future of work must be network-first, not hierarchy-first.In this episode of Human Work After AI, Francisco joins us to talk about the future of work and what it means to run a business network-first. Francisco has pioneered organizational network analysis (ONA) and AI-driven agents for leadership, onboarding, and change management. His company has partnered with giants like Google and ServiceNow to help enterprises navigate decentralization, hybrid work, and AI adoption.We explore:- Why organizational structures lag behind technological change- How “collaborative freedom” empowers employees and improves performance- The role of AI agents in onboarding, leadership pipelines, and cultural resilience- The ethical balance between trust and surveillance in people analytics- What networks - from neural nets to blockchain to social graphs - teach us about the future of workIf you’re a founder, leader, or strategist, this conversation offers a rare glimpse into how work itself may be rewired.⏱️ Chapters0:00 – Intro & Francisco’s origin story3:05 – From IBM analytics to founding CTS5:49 – What is organizational network analysis (ONA)?8:11 – Scaling from Fortune 500s to 70,000-employee rollouts9:42 – Partnerships, communities, and the Network-First Manifesto13:23 – Hybrid work, AI shifts, and the limits of corporate structures18:09 – AI agents for onboarding, leadership, and change management24:47 – Decentralization, recognition, and the politics of work27:21 – AI, entry-level jobs, and the broken talent pipeline30:36 – Trust vs. surveillance in people analytics34:20 – Advice for young professionals entering an unstable workforce36:23 – Staying grounded as a founder in Silicon Valley📌 ResourcesCognitive Talent Solutions: https://cognitivetalentsolutions.comNetwork First Manifesto: https://networkfirstmanifesto.comGrow your revenue with Chris Fanchi's Big North Marketing: https://bignorthmarketing.com#AI #futureofwork #Networkfirst

What happens when a construction worker frustrated with clipboards and paper timesheets teaches himself electronics and coding - and builds one of the fastest-growing workforce automation companies in North America?In this episode of Human Work After AI, I sit down with Albert Bou Fadel, founder and CEO of SmartBarrel, to explore how his unusual path from the field to technology led to a breakthrough in labor tracking, payroll automation, and AI-driven workforce management.Albert shares why the real opportunity isn’t in replacing people but in eliminating thousands of tiny inefficiencies that bog down projects and drain productivity. From skepticism in the construction industry to the rise of AI copilots, we discuss how automation is reshaping not only job sites but also the way humans think about work.🔑 What you’ll learn in this episode:- Why the biggest construction inefficiency isn’t lack of tech, it’s failed implementation- How focusing on labor first, not the C-suite, drives adoption and ROI- The cultural skepticism that makes selling tech into construction uniquely hard- How AI boosts efficiency without mass job replacement- Why zero-manual-input data is the foundation for AI’s future in construction⏱️ Chapters00:00 – Intro: Why Construction Tech Is Broken02:00 – Albert’s Origin Story: From Concrete to Coding05:20 – The Labor Management Problem on Every Jobsite07:15 – Teaching Himself Electronics and Building the MVP09:20 – First Signs It Could Be a Real Business10:40 – What SmartBarrel Does Today13:20 – Bottom-Up Tech: Designing for Workers, Not Just CFOs16:15 – Why Skepticism Runs Deep in Construction19:30 – Cost vs. ROI: The Hardest Sales Objection21:00 – How COVID and ChatGPT Shifted Tech Adoption in Construction23:20 – Data Quality, Privacy, and AI’s Next Phase29:40 – Will AI Replace Construction Jobs?32:20 – Internal Use of AI at SmartBarrel36:00 – Why Albert Remains Bullish on AI’s Future📚 ResourcesExplore SmartBarrel: https://smartbarrel.ioConnect with Albert on LinkedIn: https://www.linkedin.com/in/albertboufadelGrow your SaaS business with host Chris Fanchi: https://bignorthmarketing.com

AI is rewriting the rules of insurance tech - and Rob Lewis has seen the transformation from the inside.With 25 years in global reinsurance and a history of building startups from scratch, Rob is now leading INTX Insurance Software to modernize how carriers operate, combining speed, flexibility, and data intelligence in one AI-powered platform.In this episode of Human Work After AI, we dive into:- How Rob spun up a working policy administration system with AI in just 12 hours- Why clean, stable data is the ultimate competitive moat in insurance- The real pace of AI adoption in a conservative industry - and where it’s accelerating fastestIf you’re curious about building trust in AI-driven systems, competing against entrenched incumbents, or translating decades of industry experience into a disruptive SaaS model, this conversation delivers.Chapters00:00 – Intro & Guest Background01:04 – From Stockbroking to Startups: Rob’s Origin Story05:20 – Entering Insurance & Early Tech Gaps07:40 – Founding INTX and the U.S. Market Push12:54 – The AI Shift: From Blockchain to Generative Models18:46 – Why Technology Alone Isn’t a Moat22:22 – Human Roles That Still Matter in AI-Driven Insurance24:05 – Regulation, Risk, and AI in a Highly Regulated Industry27:14 – Modernization Barriers Around the Globe29:22 – Advice for Entering the Insurance Industry Today30:45 – Why Rob’s Optimistic About Insurance + AI’s FutureResourcesINTX Insurance Software: https://www.intxis.comBig North Marketing: https://bignorthmarketing.com

What happens when an aerospace engineer, serial entrepreneur, and AI visionary sets out to reinvent both how we move and how we care for each other?In this episode of Human Work After AI, we sit down with Allen Nejah, founder and CEO of SunMan Engineering, a Silicon Valley firm with 1,700+ product development projects under its belt across aerospace, defense, IoT, and consumer electronics. Allen shares his journey from building connected car technology that powers internet-enabled vehicles worldwide to pioneering robotics for elderly care and groundbreaking EV transmissions that could boost range by 40%.Key Themes:- How AI enables machines to truly “understand” humans – and why that changes everything.- The leap from mechanical robotics to intelligent, assistive systems for home and healthcare.- Why “dark manufacturing” could bring production back to the U.S. – without costing jobs.- Allen’s vision for Level 5 self-driving cars and a traffic-free future.Chapters:0:00 – Intro & Allen’s view on AI as a new human-machine language1:30 – Allen’s aerospace roots & dream of becoming an astronaut3:00 – Founding Sunman Engineering and first projects4:40 – Building connected cars before it was mainstream7:15 – The road to Level 5 autonomous vehicles8:34 – Reinventing transmissions for EV range gains10:06 – Partnering on AI-powered home assistance robotics13:06 – What “assistive automation” means in practice14:11 – The evolution of robotics in the AI era17:04 – Breakthroughs needed for the next decade of AI & robotics19:35 – Dark manufacturing & the future of production21:02 – Would Allen go to Mars? (Spoiler: yes)21:50 – AI’s impact on engineering & product design25:17 – Which industries will robotics disrupt first26:02 – Regulation, ethics, and military tech insights28:09 – Why Allen’s optimistic about the futureResources:🌐 Sunman Engineering: https://www.sunmantechnology.com🌐 Grow your revenue with host Chris Fanchi's Big North Marketing: https://bignorthmarketing.com

Most sales team members only spend 13 hours a week actually selling. The rest? Admin, meetings, and chasing notes. Adam Rubenstein wants to change that by turning the “art” of sales into a measurable, coachable science.In this episode of Human Work After AI, we speak with Adam Rubenstein, a four-time founder and the CEO of Traq.ai. Adam shares how his platform uses AI to capture and analyze sales conversations, freeing reps from admin work, boosting coaching impact, and helping leaders finally see what’s working and what’s not.We explore the evolution from homegrown AI models to today’s LLMs, why service businesses benefit most from conversation intelligence, and how AI can actually make sales more human.You'll hear about:- Converting sales intuition into repeatable, data-driven coaching- Why 90% of sales leaders lack true visibility into rep performance- How to overcome resistance to AI call recording and analysis- The line between automation that empowers vs. replaces salespeopleResourcesSales coaching at scale with Traq.ai - https://traq.aiGrow your revenue with Big North Marketing → https://bignorthmarketing.com📍 Chapters & Timestamps0:00 – Highlight: AI as a daily sales coach, not a threat0:47 – Adam’s entrepreneurial origin story5:02 – Turning sales from gut feel to science7:40 – Why most leaders can’t coach effectively11:07 – Pivoting after the AI revolution12:32 – Salespeople only sell 13 hours/week14:11 – Automating follow-ups and CRM updates16:55 – Preparing like sales is a sport18:38 – Why service businesses gain the most from AI20:51 – Overcoming fears about recording calls23:56 – Self-guided coaching and call scoring26:29 – Will AI replace sales reps?31:14 – Where humans still win in complex sales34:18 – Roles that may vanish (and new ones that will emerge)36:47 – The resilience of humans in tech shifts38:02 – Where to find Adam and Traq.ai

Vlad Cazacu has seen both sides of the fundraising table. As a former venture capitalist turned founder, he’s now helping thousands of startups raise capital faster with AI-powered tools through his company Flowlie.In this episode, we dive into:- Why Flowlie pivoted from serving VCs to empowering founders- How founders using Flowlie have raised over $600M- The rising expectations for pre-seed and seed-stage startups- Whether AI will eventually replace humans in venture capital- What still needs to stay human—and what doesn’t- Vlad’s advice for navigating failure, hype, and luck in today’s startup worldIf you’ve ever wondered where fundraising is headed or what makes a startup truly investable in an AI-first era, don’t miss this conversation.Resources🔗 Automate fundraising with Flowlie: https://www.flowlie.com🌐 Grow your SaaS company's revenue with Big North Marketing: https://bignorthmarketing.com/Chapters00:00 – The AI-to-AI Fundraising Thought Experiment01:28 – From Accidental Founder to Venture Capitalist04:08 – Leaving VC to Build Flowlie07:39 – Why the Pivot to Serving Founders Worked09:46 – How AI Supercharges Startup Fundraising14:16 – What’s Changed in Pre-Seed and Seed Rounds18:21 – What Still Counts as a Moat in an AI World21:23 – Execution Lessons from 120+ Investments26:28 – Where Founders Waste the Most Time in Fundraising33:36 – What Must Stay Human in Venture Capital

What does it mean to stay human in a world being rebuilt by algorithms?Human Work After AI is a podcast about the future of white-collar work - where intelligence is no longer uniquely human, and automation doesn’t just threaten jobs but reshapes purpose.Hosted by Chris Fanchi, marketer-turned-researcher and founder of Big North Marketing, the show explores how artificial intelligence is transforming knowledge work, leadership, hiring, and the very fabric of modern business. Each week, Chris sits down with founders, technologists, operators, and builders who are living through - and shaping - the shift.From SaaS leaders deploying LLMs in production to HR execs wrestling with algorithmic bias, from dev agency CEOs automating away billable hours to AI startup founders chasing the limits of collaboration, this show goes beyond hype to unpack the real-world tension between productivity and humanity.Whether you're a software executive, strategist, consultant, or just trying to future-proof your career, Human Work After AI offers grounded conversations, actionable insights, and the occasional existential gut-check.Subscribe to explore:- How AI is rewiring work at the team, company, and societal level- What skills (and leaders) will still matter in the next decade- Where automation ends and human judgment begins