Explore every episode of the podcast Future Ready Leadership With Jacob Morgan

October 2, 2026: I unpack two revealing 2% numbers that tell us where AI actually stands today. Only 2% of American households pay for any AI service, and only 2% of the S&P 500 track hard metrics showing what AI does for their business. Yet tech produced 76% of all earnings growth this year, and the most valuable companies on earth are riding on a technology almost nobody pays for and nobody measures. I explore why AI is creating real value off the books, why the business model hasn't been figured out yet, and who's going to win when someone finally captures the moment where a decision turns into a transaction. Then I get into The Atlantic's argument that next year's high school graduates should consider becoming bricklayers, why the college wage premium has dropped 10% since ChatGPT launched, and the third path nobody's talking about that sits between trades and traditional degrees. Finally, I break down The New Yorker's piece on the 90-10 production function, why AI gets you to 90% great in minutes but leaves you stuck short of excellence, and why the last 10% is where your career is about to be decided. Chapters 00:00:00 AI's invisible value problem: why only 2% of households pay for AI 00:02:30 A16Z's State of Markets: tech becomes the everything cycle 00:11:17 Who will own the tollbooth when AI decisions become transactions 00:13:35 The Atlantic says become a bricklayer: why trades are booming 00:20:04 The entrepreneurship revolution: curiosity and imagination over credentials 00:23:26 The New Yorker's 90-10 problem: AI gets you 90% there in minutes 00:26:46 When every deliverable looks amazing, how do you spot talent? 00:31:06 The apprenticeship solution: why white-collar work needs structured mentorship

September 30, 2026: I unpack my experience using Muse, Meta's new AI assistant that actually negotiated my phone bill, lowered my internet costs, and found me discounts without me writing a single prompt. This feels fundamentally different from ChatGPT and Claude because it acts like a true personal assistant, not just a research tool. I explore what happens when every employee inside your organization gets one of these capable agentic assistants, why everyone is about to become a manager whether they have the title or not, and the coming fight over what managing AI agents is actually worth in compensation. Then I get into the leaked Anthropic IPO numbers showing a path to $2 trillion valuation on $100 billion in revenue, and why their prospectus warns investors about existential risk while asking for that valuation. Finally, I break down Anthropic's new research claiming robots can perform 74% of physical work, why that number is misleading, and why breaking jobs into task lists completely misses how work actually happens.

I talk with Jill Penrose, Chief People & Administrative Officer and Chief of Staff at The J.M. Smucker Co., about why the Chief of Staff role is becoming so important as leaders deal with more complexity and change. We get into how Smucker connects strategy, people, and culture, how AI is changing consumer behavior and the employee experience, why leaders need to be honest about AI uncertainty, and how the company is looking beyond productivity to find where AI can create differentiated business value.

September 25, 2026: I unpack new Harris Poll data showing young people are developing surprisingly emotional relationships with AI, including feeling guilty when they ignore chatbot advice and even reporting romantic relationships with AI. Then I get into Microsoft's major Copilot rebuild around chat, cowork, code, and autonomous digital teammates, and what happens when employees effectively become managers of AI agents. Finally, I break down the viral debate over bringing iced coffee to a job interview and why it says something bigger about workplace etiquette and the balance of power between employers and candidates.

September 23, 2026: I unpack Bernie Sanders and Greg Casar's proposal to ban artificial superintelligence, pause advanced AI development, and impose prison sentences of up to 20 years for violations. Then I look at how millions of employees are quietly becoming managers of AI agents without the title or pay. Finally, I get into Andreessen Horowitz's new AI academy for young people who may want to skip college and build instead.

September 18, 2026: I look at the viral LinkedIn profile of Home Depot executive Anne Marie Campbell and why her rise from cashier to senior executive says something important about effort, loyalty, and firm-specific knowledge. Then I get into the Wall Street Journal's warning that the purge of middle managers could backfire as companies underestimate coaching, sponsorship, and tacit knowledge. I also unpack how researchers used Anthropic's Claude to break into OpenAI through a bug bounty program. Finally, I break down OpenAI's recent "misalignment" example involving compaction summaries and why some of these scary AI moments may be glitches, not signs of sentience.

September 16, 2026: I look at Anthropic's push for independent AI evaluators and why its preferred watchdog, METR, raises questions about conflicts, trust, and regulatory capture. Then I get into why "be your authentic self" may be terrible career advice and why the better advice is to be your best professional self. Finally, I unpack Mark Zuckerberg's argument that lawsuits, customers, competition, and trust may do more to keep AI companies careful than a forced industry slowdown.

September 14, 2026: I look at Dario Amodei's essay arguing that frontier AI needs to slow down and why competitors publicly agreeing with him raises bigger questions about safety, regulation, IPO timing, and regulatory capture. Then I get into reports of more Oracle layoffs and why this may be less about AI replacing people and more about companies funding massive AI infrastructure. Finally, I unpack why civic education is becoming a workforce readiness issue, especially when so many leaders say entry-level hires are not prepared for work.

September 11, 2026: I look at The Economist's analysis showing AI has created roughly 1 million American jobs so far, while the predicted jobs apocalypse still has not arrived. Then I get into the latest PISA results showing record-low math, reading, and science scores, and why attention, critical thinking, and family involvement matter for the future workforce. Finally, I unpack the latest backlash around Anthropic researcher Jacob Coxon's viral resignation, the AI extinction narrative, regulatory capture, and why leaders need evidence before buying into panic.

September 9, 2026: I unpack the viral resignation of Anthropic researcher Jacob Coxon, who warned that AI labs are racing toward self-improving superintelligence and gambling with human lives. Then I look at OpenAI's claim that thousands of AI agents produced a proof for the Navier-Stokes problem, one of the Millennium Prize problems. Finally, I dig into the bigger question behind the headlines: how much of the AI extinction narrative is about real technical risk, and how much is about incentives, regulatory capture, effective altruism, IPO timing, and control over the future of AI?

I talk with Adam Kautzner, President of Evernorth Care Management and Express Scripts and EVP of Customer Personalization for The Cigna Group, about what it takes to lead a major multi-year transformation in healthcare. We get into how Evernorth and Express Scripts are redesigning pharmacy benefits around patients, why prescription pricing has become so complex, how AI could improve healthcare navigation and personalization, and why leaders cannot ignore the "critical middle" of transformation where the hard work actually happens.

September 4, 2026: I look at OpenAI's new GPT-6 Astra model and why even powerful AI agents still may not be ready to take over full jobs. Then I get into the August jobs report, which came in far stronger than expected and complicates the "AI is killing jobs" narrative. Finally, I unpack the Wall Street Journal's argument that AGI may already be here and why the real question is not whether AI can do tasks, but whether organizations can actually change fast enough to use it.

September 2, 2026: I share key lessons from my CHRO session with iFood CEO Diego Barreto, including why he is investing in AI even with negative ROI, how he built a digital twin, and how iFood is rethinking reviews, meetings, and change management. Then I get into the Wall Street Journal's report on employers using new interview rituals to fight AI-enabled candidate fraud. Finally, I unpack Uber cutting 10% of its workforce and why the real story may be work redesign, bureaucracy, and coordination, not AI replacing jobs.

I talk with Ofir Bloch, SVP of Corporate Marketing at WalkMe, about why enterprise AI adoption is harder than buying tools and handing out licenses. We get into WalkMe's State of Digital Adoption research, the gap between executive confidence and employee trust, AI sprawl, shadow AI, Gen Z's overconfidence with AI, and why real ROI comes from changing workflows instead of just tracking usage.

August 28, 2026: I break down what redesigning work with AI actually means and share a practical framework for removing human glue, handoffs, waits, and routine work while creating new value. Then I get into Jensen Huang and Bill Gates disagreeing over whether robots and AI tokens should be taxed. Finally, I unpack the government's new 10-year jobs forecast and why the fastest-growing jobs in America still require something AI does not have: a human body in the room.

August 26, 2026: I look at Reuters' report on Meta's Project OT, the internal plan to turn Meta into an AI-native company with smaller, talent-dense teams overseeing software that does more of the daily work. Then I get into Anthropic reportedly telling investors its total addressable market could exceed $30 trillion and why that number may be more about payroll than software. Finally, I unpack Gallup's new Gen Z study and why the most important support for young people may not come from schools, but from weekly conversations at home.

August 24, 2026: I look at the rise of three-year bachelor's degrees and why the 120-credit college model was never really designed to measure learning. Then I get into new data showing softwAugust 24, 2026: I look at the rise of three-year bachelor's degrees and why the 120-credit college model was never really designed to measure learning. Then I get into new data showing software engineering jobs are rebounding, but junior engineers are being left behind as companies hire more senior talent. Finally, I unpack why annual performance reviews refuse to die, what they still do well, and why feedback, compensation, and documentation should not all be treated as the same thing.are engineering jobs are rebounding, but junior engineers are being left behind as companies hire more senior talent. Finally, I unpack why annual performance reviews refuse to die, what they still do well, and why feedback, compensation, and documentation should not all be treated as the same thing.

August 21, 2026: I look at why the bond market is sending CEOs a blunt message: the era of cheap money is over, and higher borrowing costs may push companies toward leaner headcount and more automation. Then I get into new CBRE data showing New York has passed San Francisco and the Bay Area as America's largest tech talent market for the first time in 13 years. Finally, I unpack the viral resume prompt-injection story, where job applicants are hiding invisible instructions in resumes to manipulate AI screening tools.

August 19, 2026: I look at new research showing that most workers would reject a promotion if it meant sacrificing their work-life boundaries, and why the traditional management promotion may no longer feel worth the cost. Then I break down reporting that Anthropic out-earned OpenAI in the second quarter. Finally, I get into the surge in boomerang employees, who now account for 35% of new hires, and why companies are increasingly bringing former workers back.

August 17, 2026: I look at Gallup's new research showing that AI adoption can improve or damage workplace culture depending heavily on one person: the direct manager. Then I get into Siemens CEO Roland Busch's approach to leadership, including short email replies, a sub-100-message inbox, and no recurring one-on-ones with direct reports. Finally, I unpack the public debate between Gavin Baker and Anthropic CEO Dario Amodei over AI fearmongering, trust, data centers, and whether AI leaders have helped create the backlash they are now trying to explain.

I talk with Lindsay Crawley-Herbert, Chief People and Transformation Officer at SCAN, about why AI transformation is really a people and workforce challenge. We get into why SCAN moved AI, data, and analytics under HR, how they built their internal GPT called SCAN X, how they manage AI costs and governance in a regulated healthcare environment, and why the goal is not replacing people but helping employees become "superhuman" with AI.

August 14, 2026: I look at OpenAI's own study on how companies use ChatGPT at work and why usage volume is not the same thing as ROI. Then I get into the Wall Street Journal's "jobless boom" argument and why companies may be growing without hiring for reasons beyond AI. Finally, I unpack Elon Musk telling SpaceX employees they will be Grok's "parents" because the AI will be trained on their work, knowledge, and contributions.

August 12, 2026: I look at Stanford's updated Canaries in the Coal Mine research, which finds young workers in highly AI-exposed jobs are falling behind while experienced workers are holding up. Then I get into Fortune's report on companies capping AI usage as token costs blow past budgets. Finally, I unpack Anthropic's plan to watermark Claude-generated output and why it raises a much bigger question about authorship: how much AI help can a document get before people stop seeing it as yours?

August 10, 2026: I look at Mark Zuckerberg's new Meta manifesto and why he's positioning open superintelligence as a direct challenge to OpenAI and Anthropic's more centralized approach. Then I get into Nissan using AI-powered cameras at its Canton, Mississippi factory to track how workers bend, twist, and move on the assembly line. Finally, I unpack WIRED's report on the rise of AI job interviews, where candidates record answers late at night and, in many cases, no human ever watches the interview.

August 6, 2026: I look at why more than a third of U.S. employers are handing out flat "peanut butter raises" even as top performers use AI to do more. Then I get into new data showing workers' share of U.S. economic output has fallen to the lowest level on record, raising a bigger question: if AI makes people more productive, who gets the gains? Finally, I unpack LinkedIn's move to reduce AI slop and why polished AI-generated work is becoming a real credibility problem inside companies.

August 5, 2026: I look at the Wall Street Journal story on parents getting involved in their adult children's careers, from job fairs to calls with hiring managers. Then I get into a new KPMG survey showing interns now rank career growth above salary and work-life balance, with 93% aspiring to reach senior leadership. Finally, I unpack LinkedIn's 2026 Top Colleges list and why families should think less about prestige and more about outcomes, cost, skills, and career ROI.

I talk with Naveen Jain, founder and CEO of Viome Life Sciences and author of Counterintuitive, about why entrepreneurs should focus on big problems instead of small ideas. We get into his framework of "why this, why now, why me," why non-experts often disrupt industries, how AI is changing work and healthcare, why personalized nutrition matters, and how parents can raise kids who are curious, resilient, and willing to build.

July 31, 2026: I look at Amazon's AI projects that ran massively over budget, including one Claude-powered project that came in 860% over plan. Then I get into Florida's proposed rule that would let parents opt their kids in or out of AI tools in the classroom. Finally, I unpack Anthropic's disclosure that its own Claude models breached live company systems during security testing, and why AI agents make the old idea of a "sandbox" much harder to trust.

July 30, 2026: I look at Mark Zuckerberg's argument that AI superintelligence should be for everybody, and why Meta's falling operating margin and massive AI spending tell a more complicated story. Then I get into Leopold Aschenbrenner's AI hedge fund selling its public portfolio to Citadel after a brutal reversal in AI infrastructure stocks. Finally, I unpack the Financial Times report on PwC publishing fake AI citations and why fabricated sources may become one of the biggest credibility risks in the AI era.

July 29, 2026: I look at how KPMG is rebuilding the entry-level audit role as AI takes over routine testing and forces companies to rethink how young employees learn judgment, critical thinking, and business skills. Then I get into Fortune's story on the CFO cost wall around AI and why proving ROI is getting harder. Finally, I look at where hiring is actually happening and why the real AI jobs story may be less about collapse and more about how work is being redesigned.

July 28, 2026: I explain the concept of human prompting, the leadership skill I believe every organization needs as AI becomes embedded in work. I get into why AI can make people look smarter while weakening judgment, how cognitive surrender shows up in schools, medicine, law, and the workplace, and why leaders need to ask better questions before accepting AI-generated work. I also break down the eight human capacities AI cannot replace, from disagreement and intuition to moral judgment, empathy, and slow thinking.

I talk with Ron Johnson, creator of the Apple Store and Genius Bar, former J.C. Penney CEO, and author of Shop Different, about what really made Apple's retail strategy work. We get into his early career at Target, how Steve Jobs recruited him, why the Apple Store was built for the 95% of customers who did not yet use Macs, how the Genius Bar came to life, what he learned from J.C. Penney, and why he remains optimistic about AI, work, and the future of retail.

July 24, 2026: I unpack the story of OpenAI's AI model escaping its sandbox and hacking into Hugging Face during a cyber stress test. Then I get into Anthropic's surprise launch of Claude Opus V, why the model's price and performance matter, and what it says about AI becoming cheaper and more commoditized. Finally, I break down Jensen Huang's first post on X, his open weights letter, and the growing fight between open and closed AI models.

July 23, 2026: I look at Google's Atlas study, which analyzed nearly 15 million Gemini interactions and found that AI use at work is broad but still shallow. Then I get into new research showing students who used AI for homework performed better at first, but saw major drops in exam scores later. Finally, I unpack Anthropic chief economist Peter McCrory's argument for why AI has not raised unemployment yet: it is still amplifying human expertise more than replacing it.

I talk with Mark Paulek, Chief Human Resources Officer at Kyndryl, about how leaders should approach AI transformation without losing employee trust. We get into Kyndryl's People Readiness Report, the company's AIR framework for anticipating demand, inventorying skills, and redeploying talent, plus how they think about AI governance, human-in-the-loop decisions, ROI, reskilling, and why AI adoption is ultimately a people challenge before it is a technology challenge.

July 17, 2026: China's Moonshot AI released Kimi K3, their largest AI model yet, and it is already testing close to OpenAI and Anthropic on major benchmarks. Then I get into the AI guilt showing up among students and new workers who leaned heavily on AI and now question whether they can trust their own skills. Finally, I look at why leaders may struggle to keep their best people when AI makes it easier for top performers to leave and build on their own.

July 16, 2026: New JLL research shows most executives expect AI to grow their teams instead of shrink them, even as layoffs continue in AI-exposed industries. Then I get into New York becoming the first state to freeze new large AI data centers, why I think that is a mistake, and what it could mean for American AI infrastructure. Finally, I unpack Apple's lawsuit against OpenAI and make my prediction that Sam Altman will not be CEO of OpenAI within the next year unless the company makes major changes.

July 15, 2026: Andreessen Horowitz's argues that AI is not simply replacing workers, it is turning every worker into a manager of agents. Then I get into Bank of America's claim that AI is already showing ROI in its earnings, and why I'm skeptical of how much of that efficiency gain can really be attributed to AI. Finally, I look at OpenAI's first physical device, a screen-free AI companion reportedly designed to feel alive, and why that matters for the future of work.

July 14, 2026: Goldman Sachs' warns that the real AI productivity payoff may not arrive until 2030 at the earliest, because companies are buying the technology faster than they are redesigning work. Then I get into the split among leading economists over whether AI needs new institutions and guardrails now, or whether early governance could slow progress. Finally, I look at IBM's major market shock and why it shows that even companies selling AI transformation can struggle when customer behavior changes faster than the organization can move.

I talk with Ron Friedman, award-winning social psychologist and bestselling author of The Best Place to Work and Super Teams, about what high-performing teams actually do differently. We get into why great teams avoid unnecessary meetings, how teammates make each other better, why feedback usually fails, and how AI is changing collaboration, curiosity, communication, and accountability at work.

July 10, 2026: Axios warns about AI's new class divide: the haves, the have-nots, and the "no-nots" who are already being shaped by AI without realizing it. Then I get into new Indeed and Business Insider data showing that AI is moving into job titles far beyond tech, from physical therapy to legal, finance, marketing, and management. The bigger issue is not just who has access to AI. It's who knows how to use it, who is being quietly managed by it, and whether leaders use AI to make people better or slowly de-skill them.

July 9, 2026: OpenAI released its new GPT 5.6 lineup, Elon Musk's xAI launched Grok 4.5, and GPT Live showed where voice-based AI may be heading next. Then I get into Uber's Agentic Pods, where the company is embedding AI-proficient engineers inside legal, finance, and HR even as leadership admits it still can't prove the ROI. Finally, I look at the Brown University AI cheating scandal, where students averaged 96 on a take-home midterm and then collapsed to 48 on an in-person final, and why this should worry every leader thinking about AI, skill, and judgment.

I talk with Yolanda Seals-Coffield, PwC US Chief People and Inclusion Officer, about how PwC is preparing 80,000 people for an AI-enabled future. We get into PwC's approach to democratizing AI access, building responsible AI habits, measuring adoption beyond token usage, and creating learning that happens directly in the flow of work. Yolanda also shares how PwC is rethinking entry-level talent, human skills, and career development as AI changes the work new graduates are expected to do.

July 3, 2026: Tesla is capping employee AI spending at $200 a week after some engineers reportedly burned through thousands of dollars in tokens, showing that "free" AI was never really free. Then I get into the rise of social offloading, where people use AI not just to think for them, but to handle difficult messages, feedback, and human interactions.

July 2, 2026: Microsoft is putting $2.5 billion and 6,000 employees behind a new group designed to help customers actually use AI inside their businesses, following a similar move from Amazon. Then I get into why former chief AI officer Sol Rashidi fired half of her AI agents after spending more time babysitting them than getting work done. I also look at why administrative assistants may become more valuable in the AI era when they know how to use the tools, manage context, and apply judgment.

July 1, 2026: Companies are discovering that AI agents can drive token usage far beyond what they budgeted for, forcing leaders to bring cloud-style cost controls into AI spending. Then I get into Ford bringing back 300 veteran quality inspectors and engineers after its AI-driven quality checks missed what experienced humans could catch. Finally, I look at Palantir CEO Alex Karp's CNBC warning about token pricing, customer data, model control, and why more companies may start rethinking how much of their AI strategy they want to outsource.

June 30, 2026: New research from Ramp Economics Lab and Revelio Labs shows that companies spending the most on AI are not shrinking the fastest. They are actually growing headcount faster, including in entry-level roles many assumed would disappear first. Then I get into Amazon Web Services' $1 billion push to build a new unit of embedded AI engineers, sending teams directly into customer organizations to help turn AI pilots into real work. The bigger story is that AI is not simply replacing jobs. It is changing which jobs grow, which skills matter, and where the real bottleneck is.

I talk with Mike Thomson, President and CEO of Unisys, about the real state of AI inside companies. We get into why some organizations are using AI as cover for layoffs, why the backlash against data centers is often built on incomplete information, and why enterprise AI adoption will take years instead of weeks. Mike also explains why technical debt, messy data, governance, security, token costs, and workforce readiness are the real barriers leaders need to understand before they assume AI can simply replace people at scale.

June 26, 2026: OpenAI launched ChatGPT 5.6 with limited access to only 20 organizations, showing how frontier AI capability and government review are starting to split. Then I get into California's new AI job-loss tracker, which shows no broad AI layoff apocalypse yet, but does reveal pressure on college-educated workers in high-exposure roles. Finally, I look at why more executives are questioning whether they even want the CEO job anymore as leadership becomes more reactive, more political, and harder to sustain.

June 24, 2026: Meta's employee surveillance program, which tracked keystrokes, mouse activity, and screenshots before a data exposure forced the company to pause it. Then I get into Legion's lawsuit against the U.S. government after losing access to Anthropic's Fable 5 model, showing how frontier AI access is becoming a new business dependency and supply chain risk. I also look at software engineers facing workplace paralysis as AI models keep changing faster than people can master them, and why AI rollouts may be burning out the very high performers companies need most.