Leadership & L&D
Course · 31 lessons · 4h 27m
AI, Work, and Human Judgment for Leaders
Help leaders adopt AI without losing judgment, trust, learning, or workforce resilience.
By the end, you'll be able to
- Leadership, Power, and the Workforce in the Age of AI
- The Vanishing Apprenticeship: What Happens When AI Learns the Job Before People Do
- AI, Work, and the New Human Advantage
- The Great Decoupling: How AI Is Rewriting Work
Curriculum
31 lessons- 01Leadership, Power, and the Workforce in the Age of AIIn this episode our hosts unpack how leadership culture, corporate governance, and workforce dynamics are being reshaped by AI and automation.The discussion digs into the gap between what companies say about leadership and what they actually reward, why psychological safety is the real engine of productivity, and how board structures and incentives can either check or supercharge poor decision-making.Our Podcast hosts explore how AI is colliding with fragile cultures, hollow values statements, and disengaged workforces—creating both new risks and rare opportunities. As large organizations centralize power and automate roles, the hosts argue that small and mid-sized businesses may be poised to benefit from a wave of high-skill talent leaving big corporate environments.Across roughly ten minutes, the hosts examine:The difference between real leadership and management theater in AI-era companiesHow psychological safety, trust, and transparency drive long-term performanceThe structural weaknesses of boards and executive incentives in large organizationsWhat AI, automation, and layoffs mean for talent markets and smaller firmsPractical ways leaders can build healthier, more accountable cultures while adopting AIDesigned for founders, executives, and curious employees alike, this episode offers a grounded look at how power, incentives, and technology are quietly rewiring today’s workplaces—and what it will take to lead well in 2026 and beyond.13 min
- 02The Vanishing Apprenticeship: What Happens When AI Learns the Job Before People DoIn this episode, Simon Carver and Lachlan Reed explore a quieter consequence of AI adoption: the disappearance of apprenticeship, messy practice, and on-the-job learning. Instead of talking about layoffs or rankings, they dig into what happens when machines take over the first drafts, the first passes, and the first mistakes that used to shape capable people.Through a vivid story about a workplace where AI handles the grunt work flawlessly, the hosts examine why some of the most valuable human skills are learned by doing the parts of work no one wants to do. They ask what is lost when organizations optimize away the very struggle that turns beginners into experts.This episode is about craft, confidence, and the human cost of becoming “efficient” too early.10 min
- 03AI, Work, and the New Human AdvantageSimon Carver and Lachlan Reed explore what the AI shift really means for individual workers who want to thrive, adapt, and stay valuable in a changing economy.They unpack why executives are suddenly moving from skepticism to urgency, what that means for jobs and careers, and how people can respond with practical, human-centered strategy.If you want to succeed in work and in life during the AI era, this conversation is about the skills, mindset, and choices that matter most.11 min
- 04The Great Decoupling: How AI Is Rewriting WorkCompanies are quietly shifting from payroll to processing power, cutting human-heavy layers while hiring for AI, data, and infrastructure roles. The hosts break down why judgment, system thinking, and accountability are becoming the new career moats in the age of AI.9 min
- 05Harder to Replace: The New Rules of Job SecurityAI is reshaping job security by exposing which roles are easy to automate and which depend on human judgment, context, and trust. The hosts break down how to become harder to replace by tying your work to business outcomes, moving closer to decisions, and becoming the translator who bridges teams and reduces friction.10 min
- 06AI Paradox: Why We Use It but Don't Trust ItThis episode explores the growing tension between AI adoption and public skepticism, especially around jobs, misinformation, bias, and the future of white-collar work. The hosts discuss why convenience is driving usage while calls for transparency, accountability, and stronger guardrails are growing louder.8 min
- 07Agentic AI: From Chatbots to Digital TeammatesThis episode breaks down how agentic AI moves beyond simple responses to taking action across multi-step workflows, from intake and verification to routing and follow-up. It also explores how this shift is reshaping jobs, making human oversight, judgment, and data literacy more important across industries.8 min
- 08When AI Starts Thinking for YouSimon Carver and Lachlan Reed unpack how AI can shift from a handy assistant to a quiet influence on judgment, trust, and decision-making. They explore why polished, fast answers feel so authoritative—and how to use AI as a co-pilot without handing over control.8 min
- 09The Autonomous Employee: When AI Starts Doing the WorkThis episode explores how agentic AI is moving from assistant to operator, changing work from step-by-step execution to goal-based delegation. Simon Carver and Lachlan Reed unpack what that means for skills, apprenticeship, governance, and who really benefits when machines can act around the clock.8 min
- 10The Great AI Illusion: Why Fluency Isn't UnderstandingSimon Carver and Lachlan Reed unpack how polished AI output can trick us into treating a language model like it has a mind, when it’s really just predicting words. They explore why humans project meaning onto fluent systems, how that false authority weakens judgment at work, and what it takes to keep responsibility firmly with people.11 min
- 11When AI Makes Judgment OptionalThis episode examines how AI can quietly turn convenience into dependence, eroding human agency, purpose, and the ability to make meaningful judgment calls at work. It also tackles the competence trap, the speed gap between innovation and governance, and whether society can refuse unsafe deployments before control becomes an illusion.9 min
- 12AI Exposes Weak Leadership, It Doesn't Fix ItThis episode digs into why AI transformation often fails when leaders confuse buying tools with changing how work actually gets done. The hosts break down the real ingredients of mature leadership: clear scope, ownership, sequencing, and accountability.9 min
- 13When AI Becomes InfrastructureThis episode examines the shift from AI as a tool to rented cognition, exploring how intelligence may become as scalable and available as electricity. The conversation also tackles recursive improvement, governance risks, and the big question of who benefits when AI amplifies expertise while concentrating power.8 min
- 14AI as Teammate: Why Work Should Become More HumanThis episode explores how AI can remove the dull scaffolding of work so people can focus on judgment, empathy, and better decisions. The hosts also dig into the risk of using AI as a cover for cost-cutting, and why real transformation means redesigning work, not just speeding it up.8 min
- 15The AI Intelligence Myth and What It CostsThe hosts unpack why calling AI “intelligent” may be misleading, arguing that these systems generate fluent predictions rather than true understanding. They explore how the label shifts authority, obscures accountability, and can weaken trust, competence, and judgment in organizations.8 min
- 16When AI Efficiency Becomes an Automation Arms RaceThis episode explores how rapid AI adoption can boost productivity while also weakening consumer demand, creating a risky “automation arms race” for businesses and workers alike. The hosts also discuss how AI can be used to remove drudgery in healthcare, education, finance, and city services without stripping away human judgment, care, and dignity.8 min
- 17The AI Layoff Trap: Why Over-Automation Hurts EveryoneWe dig into how AI-driven layoffs can create a race to automate that boosts individual firms while weakening consumer demand, trust, and long-term resilience. Then we explore the more hopeful path: using AI to strip away busywork so people can focus on judgment, mentorship, creativity, and the human work that matters most.8 min
- 18Reclaiming Humanity in the Age of AIThis episode explores how AI is reshaping the future of work, and why the real question isn’t what machines can do, but what kind of human future we want to build. CJ Murphy shares a blueprint for restoring purpose, dignity, and creativity in a workforce often defined by speed, pressure, and efficiency.1 min
- 19Beyond AI Hype: Rethinking Work, Judgment, and DignityThis episode takes a grounded look at AI without the usual hype or fear, focusing on what is truly changing in work and what remains stubbornly human. It explores judgment, purpose, and dignity, and asks how we can think more clearly about technology as a tool rather than a replacement for people.1 min
- 20Human Judgment in the Age of AILara Rowan Croft opens a grounded exploration of how AI is reshaping work, leadership, and decision-making. The series focuses on what people uniquely contribute, with clarity, realism, and a human perspective.1 min
- 21Human in the Loop or Just a Rubber Stamp?This episode examines why human-in-the-loop oversight can become a performance rather than real control when people lack time, authority, or access to the system’s reasoning. It also explores how black-box AI can shape decisions in high-stakes settings like defense and workplace management, turning approval into theater.11 min
- 22AI as Teammate: Reclaiming Humanity at WorkJacques San Dimas reflects on how a fractured childhood, kitchens, and decades in IT shaped his view of leadership, risk, and resilience. He explores the promise and pitfalls of AI at work, arguing that automation should create more dignity, purpose, and human agency—not just more efficiency.1 min
- 23When AI Replaces Managers, What Gets Lost?The hosts unpack how flattening org charts and leaning on AI can erase the middle layer’s real work: translation, buffering, mentorship, and escalation management. They also explore how “efficiency” can quietly turn into organizational amnesia, leaving teams faster but more fragile.21 min
- 24AI Won't Replace Engineers, It Raises the StakesWe unpack why AI can generate code quickly without replacing the deeper work of software engineering: architecture, security, compliance, monitoring, and incident response. The conversation also explores how human judgment, accountability, and systems thinking become even more valuable as AI tools spread.10 min
- 25AI Layoffs Don't Boost Profits: The Human AdvantageA new Gartner study challenges the idea that AI-driven layoffs automatically improve financial performance, revealing that cost-cutting alone doesn’t equal value creation. The hosts unpack AI washing, the risks of losing institutional knowledge, and why the winning strategy is using AI to amplify human teams rather than replace them.6 min
- 26Build a Career Insurance Policy Before the Market ShiftsThis episode explores why modern hiring feels broken, how the Great Compression is shrinking middle-tier knowledge work, and why relying on a single employer is a risky bet. The hosts make the case for building transferable skills, drawing lessons from the resilience of skilled trades and the danger of over-specializing in one company’s tools and workflows.13 min
- 27Stop Letting AI Think for YouChris J. Murphy explains why large language models are prediction engines, not truth machines, and why using them to generate work from scratch can weaken our thinking. He shares practical ways to use AI for critique, interactive learning, simulated expertise, and better AI hygiene to reduce hallucinations and sharpen judgment.9 min
- 28AI at Work: Centaurs, Cyborgs, and the Perils of TrustThis episode breaks down a major study of elite consultants using generative AI, revealing how top performers combine human judgment with machine speed. It also explores the jagged technological frontier, automation complacency, and why strong oversight matters as AI systems become more autonomous.12 min
- 29When AI Outruns Human JudgmentThis episode examines the dangers of cognitive pace-out in high-stakes defense systems, where AI can make decisions faster than humans can verify them. The hosts explore the myth of human-in-the-loop oversight, the risks of tightly coupled automated systems, and why human friction can be a critical safeguard.8 min
- 30Why Speed Is Replacing Wisdom at WorkSimon Carver explores the hidden cost of automation, arguing that hiring tools and productivity software often reward speed over judgment, empathy, and creativity. He makes the case for using AI as a teammate—not a replacement—and for reclaiming the human strengths that technology cannot automate.9 min
- 31AI Isn't Software, It's Cognitive InfrastructureThis episode explores why treating AI like a routine software upgrade is a category error, and why organizations are overlooking the human side of adoption. The hosts dig into the neuroscience of uncertainty, identity loss for knowledge workers, and the risks of automation bias and cognitive offloading.13 min
Your instructor
The Human Workforce - Podcast Series
Podcast Series Description
Hosted by Simon Carver & Lachlan Reed with various guests.
This podcast explores the rapidly evolving relationship between artificial intelligence and human work. Hosted by Simon Carver and Lachlan Reed—two experienced professionals who examine technology through both strategic and human lenses—the series tackles the most pressing questions surrounding AI, automation, and the future of careers.
Each episode draws on the ideas and perspectives developed by the authors of the website and the book The Last Job You’ll Ever Hate. The discussions focus on ethical considerations, economic realities, and practical strategies for navigating a world where Generative AI, machine learning, and automation are reshaping industries at an unprecedented pace.
Rather than focusing on hype or fear, Simon and Lachlan analyze the real dynamics taking place across organizations, labor markets, and leadership culture. Topics include the impact of AI on professional roles, corporate adoption of automation, emerging skills that will define the next generation of work, and the ways individuals can adapt to remain valuable in a technology-driven economy.
Through thoughtful dialogue and grounded analysis, the hosts explore questions many professionals are asking today:
How will AI change the structure of work?
What skills will matter most in the coming decade?
How can individuals use automation and machine learning tools to improve their careers rather than compete against them?
The goal of the series is to provide listeners with clear insight, practical guidance, and balanced perspectives so they can better understand the changing landscape and position themselves for success. By combining real-world experience with forward-looking analysis, Simon and Lachlan offer a framework for leveraging Generative AI and emerging technologies not just as tools—but as catalysts for personal growth, professional resilience, and long-term well-being.
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