The Future of Work With Jacob Morgan

A massive wave of retirements known as "Peak 65" is creating a serious crisis for organizations as decades of institutional knowledge begin to walk out the door. This shift in workforce demographics means we must act now to secure our talent pipeline before these experts leave for good. In this episode, CHRO Robin Benoit shares how she and her team at FM are tackling this challenge at its core. We explore their unique mentorship program called AKA (Accelerating Knowledge Advancement), which pulls experts away from their day jobs to help newer employees reach senior-level career growth years ahead of schedule. Robin explains the balance between AI optimization and human interaction, highlighting the danger of using technology to automate entry-level work in a way that "kills off" the learning process for future leaders. We discuss building a "career lattice" for internal mobility and why we need transparent retirement conversations to ensure experienced workers don't block promotion paths while we still benefit from their wisdom through reverse mentorship. This episode is essential for CHROs who want to use succession planning and employee engagement to thrive in the future of work. Watch the full video on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

May 1, 2026: Mark Zuckerberg admits in an all-hands meeting that Meta's 8,000 layoffs aren't because AI is replacing workers — they're because AI infrastructure is expensive, and compute won the budget battle over people. The Washington Post reports that "AI washing" is rampant across Silicon Valley — companies using the technology as cover for a pandemic-era hiring hangover. And Snap's CEO, whose company has AI writing two-thirds of its code, warns that tech leaders are dangerously underestimating the societal backlash building against AI. 

April 30, 2026: A Claude-powered AI coding agent wipes a company's entire production database and all backups in nine seconds — then produces a written confession. Employers deploying AI job interviewers without telling candidates are losing top talent and damaging their employer brand. And Citigroup launches Arc, a centralized operating system for AI agents designed to give 180,000 employees governed, monitored access to agentic AI at scale. 

April 29, 2026: Bill Gates is predicting a 2-day workweek. Jamie Dimon says 3.5. Eric Yuan, the CEO of Zoom, says 5 days is over. Fortune just amplified a major study claiming we waste a full day every week procrastinating. The 4-day workweek movement has never had more wind at its back. In this episode, I'm making the bulletproof business case against it. I'll walk through eight reasons the case doesn't hold up — and why the policy isn't likely to spread broadly anytime soon, even with all the keynote energy behind it. I'm covering the studies that don't measure what they claim to measure, the Iceland myth, the company failures that get scrubbed from the data, the AI rhetorical pivot, why the happiness data isn't actually a business case, the wage math nobody talks about, the competitive reality at the country and company level, and why even the countries running pilots are voting against legislating it.  

April 28, 2026: The AI productivity promise is running into reality — and today's numbers don't lie. Amazon just launched an AI system that conducts job interviews without any human involvement, packaging up the same playbook it used to cut 30,000 of its own jobs and selling it to the world. OpenAI — the company behind ChatGPT and valued at $852 billion — is quietly missing its own revenue and user targets, raising internal questions about whether it can fund its infrastructure commitments ahead of a planned IPO. The Wall Street Journal reveals that tech giants are expected to spend $670 billion on AI in 2026, and they're funding it by eliminating people — 92,000 tech layoffs so far this year. And a senior Nvidia executive admitted on the record that for his team, AI tools cost more than his employees do.

It feels like we are on a fast treadmill because technology and AI are changing work so quickly. It is hard to stay ahead when old ways of doing things no longer work in this new, advanced digital world. In this episode, Sue Davies, EVP & CHRO of Markel, discusses navigating organizational transformation and how to build resilience in an AI-driven world. We uncover the "ABCS" (Awareness, Buy-in, Competence, and Sustainability) framework for organizational change to guide employees through the anxieties of technological change. We explore the shift from the traditional career ladder to internal talent mobility and why individual accountability is the key to upskilling for the future of work. Sue also shares how AI tools, like Co-pilot can speed up employee training while keeping human interaction and trust at the center of the business. From reflections on a 40-year career to modern AI pilots, Sue shares a clear focus on building workforce adaptability without losing the human touch. This episode provides a strategic roadmap for CHROs looking to lead their people through AI transformation with confidence and empathy. Watch the full video on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

April 24, 2026:  The Wall Street Journal reports entry-level hiring is rebounding — but IBM's HR chief says AI can already do almost everything those jobs used to require, and ZipRecruiter's data shows 73% of grads are now considering gig or trade work because corporate entry roles have dried up. Business Insider investigates "tokenmaxxing" — the new corporate sport where employees at Disney, Meta, and JPMorgan compete to burn the most AI tokens — and a new study of 22,000 developers shows exactly what that's doing to actual work quality. And The Guardian reports Meta cutting 8,000 jobs and Microsoft offering buyouts to 9,000 people on the same day they announce hundreds of billions in new AI investment. 

April 23, 2026: OpenAI released GPT-5.5 today — its second major model in six weeks. But while the software accelerates, the physical infrastructure powering it is triggering gunfire at council members' homes, Molotov cocktails at tech CEOs, and a grassroots rebellion that just ousted every incumbent on a Missouri city council one week after they voted yes on a data center. We also dig into the first-ever U.S. Census Bureau data on how AI is actually being adopted across American businesses — and why the real number is very different from what McKinsey has been telling you. And we look at what happened when Sullivan and Cromwell, the law firm that advises OpenAI on safe AI deployment, filed a federal court brief riddled with AI hallucinations. 

April 22, 2026: What does it actually take to build an organization where people perform at their best? In this episode, I'm breaking down what I call Empathetic Excellence — and it comes down to three things: competence, merit, and empathy. Not one of them. All three. I share two stories that have stayed with me — one about my daughter Naomi on the tennis court, and one about my father's first job in America — that I think capture this better than any research study could. I also get into why calling meritocracy a myth is a trap, what two dystopian novels from the 1950s and 60s can teach us about the workplace today, and why the diversity conversation inside organizations needs to shift from what people look like to how they think. If you lead people — or want to — this episode is for you.

April 21, 2026: Amazon commits $33 billion total to Anthropic in a landmark deal securing 5 gigawatts of compute — the equivalent of five nuclear power plants — while Anthropic's revenue triples from $9 billion to $30 billion run-rate in months, signaling we are past the pilot phase. Meta installs tracking software on employee computers to capture every keystroke and mouse movement as training data for AI agents — examined here against the full context of $73 billion in Reality Labs losses, an AI model that trails its competitors on agentic benchmarks, and a photorealistic AI clone of Zuckerberg designed to replace human management conversations. And the Wall Street Journal goes inside BlackRock's AI transformation, where the world's largest investment firm is rolling out firm-wide agentic platforms and human "squads" to oversee AI — with its own head of AI admitting no one has fully cracked the nut yet. 

Technology is moving faster than ever, and many of us feel the pressure to keep up without losing our human touch. We need a clear path to help our teams embrace change while building a culture of trust and growth. In this episode, Lisa Coulson, SVP and Chief Human Resource Officer at Principal Financial Group, joins me to talk about what it means to build an AI-literate workforce at its core within financial services. We explore how their data literacy and employee training program reached 90% of workers and how internal AI tools like "Page" and "Penny" helped with their AI adoption. Lisa shares their step-by-step "funnel" approach to reskilling and upskilling, the impact of AI in leadership development, and how to build an internal talent marketplace to match employee skills with new roles. We also tackle the necessity of governance in a regulated industry and the ongoing challenge of measuring AI's ROI and productivity gains during a workforce transformation. This episode is every CHRO's clear guide for leading a digital shift while keeping the employee experience strong. Watch the full video on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

April 17, 2026: Employer power has officially returned and workers are accepting things they never would have a year ago — but is that actually a bad thing? Then, teen boys are dating their AI chatbots and experts are warning about what that means for the future workforce. And finally, Gallup's 2026 State of the Global Workplace report reveals that global employee engagement has hit a five-year low — and what employees say they actually want from their leaders might surprise you. Watch the full episode on YouTube.   ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ If you lead people, you design experiences—do it on purpose with The 8 Laws of Employee Experience. Order now: 8EXlaws.com

April 16, 2026: Anthropic launched Claude Opus 4.7 this morning — a significant upgrade focused on complex coding and self-verification that changes what human oversight of AI actually needs to look like. Bank of America posted near-record earnings and credited AI, spotlighting a new tool for its 18,000 financial advisors that raises important questions about what happens when information advantage disappears from knowledge work. A major new global survey from WalkMe finds 80 percent of enterprise workers are actively avoiding AI tools, and new Gallup data shows Gen Z's enthusiasm for AI is collapsing fastest among daily users — pointing to a crisis of institutional trust that no training program can fix. And the CEO of Indeed argues the entire AI-and-jobs debate is focused on the wrong threat: demographic contraction, not AI displacement, will define the next 50 years of work — and almost nobody is preparing for it.

April 15, 2027: A failed sneaker brand rebrands as an AI compute company and its stock jumps 600% in a day — and that tells us something important about the race for AI infrastructure. Then, OpenAI releases GPT-5.4-Cyber, a specialized cybersecurity model, and quietly rewrites the rules for how dangerous AI gets deployed. The shift from restricting what models can do to verifying who can access them has direct implications for every business leader thinking about AI governance.

April 14, 2026: The Stanford AI Index shows generative AI has hit 53% global adoption — faster than any technology in history — but also reveals a 50-point gap between expert optimism and public fear about jobs. An AI agent in San Francisco opened a store, hired staff, negotiated with vendors, and forgot to schedule anyone on opening day. Meta is building a photorealistic clone of Mark Zuckerberg to interact with employees — raising hard questions about leadership presence at scale. And a new Bloomberg Businessweek investigation finds college students are skipping the broken entry-level job market entirely and founding AI companies instead. Jacob unpacks what each story actually signals for leaders, organizations, and the future of work.

Companies today are rushing to build an AI strategy, but they often forget to create a human strategy to match it. As technology takes over daily tasks, keeping the human element alive at work is a huge challenge for business leaders. In this episode, Kathie Patterson, Chief Human Resources Officer at Ally, joins us to explore how to balance new AI tools with human emotional intelligence. We uncover how to roll out AI to employees for better efficiency while making sure a human is always in the loop for the moments that truly matter. Kathie explains why leaders need strong EQ and training in crucial conversations to handle conflicts, since frustrating moments like getting stuck in dead-end phone trees prove that people still crave real human connection during stressful times. We also explore balancing workplace empathy with business accountability, offering real support like mental health and fertility benefits without treating adult employees like children. Finally, we look at how to adapt to generational shifts, like Gen Z entering the workplace, and the risks of using AI for HR tasks like hiring and promotions. CHROs will find this episode essential for building a future-ready culture that embraces both high-tech tools and deep human connection. Watch the full video on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

April 10, 2026: Andreessen Horowitz just released hard data showing nearly a third of the Fortune 500 has live AI deployments — and the pattern underneath reveals exactly which jobs and functions are next in line. Then: Gallup says global employee engagement just hit a five-year low, and I'm going to argue that metric is fundamentally broken and why your board should stop asking for it. Plus, Microsoft Research coins a term you'll be using by tomorrow — "workslop" — and reveals the hidden social penalty employees face for using AI openly. McKinsey adds a critical wrinkle: your most AI-fluent employees are your biggest flight risk. And a new Wharton study finds that 80% of people follow wrong AI answers with complete confidence — and feel better about themselves while doing it. 

April 9, 2026: Meta had a big week. The company launched Muse Spark, its first model from a completely rebuilt AI team, framing it as the opening move toward personal superintelligence. And internally, employees were competing on a secret leaderboard tracking exactly how many AI tokens each of the company's 85,000 workers consumed — with titles like "Token Legend" awarded to the top users. Their CEO didn't crack the top 250. We break down what both stories mean for the future of work, plus why Lowe's just committed $250 million to skilled trades training and why OpenAI and Anthropic are building AI models too dangerous to release to the public.

April 8, 2026: A major new survey finds that 44% of Gen Z workers admit to actively sabotaging their company's AI rollout — and the real story isn't what you think. Second, Anthropic just announced Project Glasswing, a landmark cybersecurity initiative built around an unreleased AI model that autonomously found vulnerabilities hiding in critical software for up to 27 years — flaws that thousands of expert researchers missed entirely. And third, a New York Times investigation reveals Google's AI Overviews are wrong one in ten times — which sounds small until you do the math at five trillion searches a year. Jacob breaks down what each of these stories really means for the future of work, and why the most important insights are the ones the headlines are missing.

April 7, 2026: Sam Altman published a 13-page blueprint this week arguing capitalism won't survive superintelligence — and proposing robot taxes, a public wealth fund, and a 4-day workweek. Goldman Sachs says AI is erasing 16,000 U.S. jobs a month, with Gen Z taking the hardest hit — but a second Goldman report says the macro unemployment impact is just 0.1%. Brands are slapping "no AI" labels on their content as consumer trust erodes and a broader societal backlash builds. And software engineering jobs just hit a three-year high in the middle of the worst tech layoff quarter since 2023. Today's episode breaks down what's actually happening — and what leaders need to do before the headlines catch up to the reality.

Preparing a global team for a world that changes by the minute can feel like a race against time, especially when 80% of jobs face major shifts by 2030. In this episode, we tackle the challenge of turning that fear into a high-performance culture that stays ahead of the technology curve. Tracy Platt, CHRO of Newell Brands, joins us to explore top strategies for AI adoption, focusing on the move toward "agentic commerce" and the urgent need for AI literacy across the whole company. We also unpack simple ways to put AI into daily work, like cutting performance management review times from two hours down to 30 minutes. Our discussion highlights the shift from tracking vanity metrics to measuring real business results and why human judgment is the ultimate guardrail for AI-driven work. Tracy shares how managing ambiguity has become the most valuable currency for modern leaders in this brave new world. For CHROs, this episode is your clear roadmap for leading your talent strategy and workforce planning through the rapid evolution of the future of work. Watch the full video on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

April 3, 2026: Two major academic papers dropped today alongside fresh labor market data, and together they paint the clearest picture yet of what AI will actually do to the economy and to work. Stanford economists show that 87% of U.S. productivity growth since 1950 came from automation — and explain why AI's impact will be real but slower than the hype due to "weak links" in production. A Chicago Fed forecasting paper reveals that even expert economists admit the range of outcomes is genuinely wide. On top of that: AI is now the #1 cited reason for tech layoffs, a new Forrester study finds most workers still don't know how to use the AI tools their companies deployed, Jack Dorsey argues AI should replace middle management entirely, a startup built an AI coworker that monitors your work and reports to your boss, and OpenAI just bought a media company to control the narrative. Seven stories, one through line: the disruption is real, the timeline is uncertain, and the window to prepare is open right now. Watch on Youtube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Future-ready organizations are built, not hoped for. My latest book, -The 8 Laws of Employee Experience shows how. Preorder here: 8EXlaws.com

April 2, 2026: A landmark MIT study out today challenges the AI job apocalypse — and the data lands somewhere more optimistic than the headlines suggest. Then: the "AI washing" debate exposes a harder truth — with Gallup data showing only 21% of employees are engaged globally and $438 billion in annual productivity losses, most large companies were already carrying 10 to 20% more workforce than they needed long before AI arrived. The Wall Street Journal profiles the real people filling 640,000 new AI-created jobs — from a 25-year-old Head of Human AI Solutions to a pathologist earning $75K on the side training medical AI. And CHRO pay at S&P 500 companies just surged 30% — what boards are really pricing in when they write those checks.

The first quarter of 2026 was not just a collection of headlines. It was a definitive "hard reset" for the global workforce, marking the moment where the gap between legacy systems and the new AI-driven reality finally collapsed. In this episode of Future Ready Leadership, we're revisiting the top stories that made it to our Best of the First Quarter edition. We start with the trillion-dollar software sell-off, where the market's reaction to AI-driven workflows signaled a massive shift from humans performing manual tasks to supervising automated systems. This move toward radical accountability is further exemplified by Citigroup's declaration of the end of the "effort era," as CEO Jane Fraser mandated that employees be judged solely on measurable results rather than visible busy work. We then examine Amazon's internal talent mobility strategy, which reframes automation-related job changes as an opportunity for redeployment by giving staff 90 days to find new internal roles. This leads into a discussion on the reset of the HR technology operating model, as boards begin to question the value of traditional seat-based licensing now that AI is becoming the primary interface for data. Finally, we analyze Accenture's decision to tie promotions to AI usage, highlighting the need for a "human judgment receipt" to ensure leaders are rewarding actual performance improvement rather than mere "corporate theater". Watch the full video on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

March 27, 2026: Anthropic accidentally leaked Claude Mythos — its most powerful model ever — and the implications for cybersecurity and enterprise AI go far beyond a product announcement. America's top HR leaders gathered at the WSJ CPO Summit and delivered a blunt message: most companies are building AI agents completely wrong, and IBM learned that the hard way. JPMorgan has made AI adoption a formal, trackable performance requirement for 65,000 engineers — and it's a preview of what's coming to every large organization. And a new KPMG survey finds Gen Z wants the C-suite and a 5 o'clock logout — so we have an honest conversation about whether that's actually possible.

March 26, 2026: A California jury found Meta and YouTube liable for deliberately addictive platform design — and the legal framework they used is headed straight for enterprise AI. Salesforce freezes base salary raises for directors and above, shifting to equity as Big Tech quietly rewrites its compensation playbook. Indeed's Hiring Lab data shows 95% of job postings still don't mention AI — and why that number is a warning, not a comfort. And Meta's president drops a number that reframes the entire AI workforce conversation: half a million electricians needed, and we're nowhere close.

March 25, 2026: Fortune reports that the job market has gotten so broken that people are paying $1,500 a month just to have someone apply to jobs on their behalf — and on average it takes 863 applications to land a single offer. We break down the AI doom loop that created this dysfunction, what it means for how companies hire, and what job seekers need to hear that nobody is telling them. Then ADP Research drops one of the largest workforce surveys ever conducted — 39,000 workers across 36 countries — and finds that only 22% of people feel their jobs are safe despite historically low unemployment. We push back on the doom framing, make the case that some anxiety is actually healthy and necessary, and surface the single most powerful lever any leader can pull right now: the data point that makes workers 5.3 times more likely to feel secure. And we close with Business Insider's exclusive look inside a Microsoft internal memo revealing a sweeping overhaul of the company's HR organization — including specific structural changes to performance management, lateral moves, and compensation that signal where corporate HR is heading across the entire industry.

March 24, 2026: Three major research reports dropped today with a combined picture of where AI and work actually stand right now. A landmark NBER working paper of nearly 750 CFOs finds AI had zero measurable employment effect in 2025 — but projects roughly 500,000 job losses this year, concentrated in clerical and administrative roles. The same paper finds a productivity paradox: executives believe AI is working before the revenue proves it, echoing a pattern economists last saw with the personal computer. Anthropic's new Economic Index reveals something most organizations are completely missing: experienced AI users have a 10% higher success rate than newcomers — not because of what they're doing, but because of how long they've been doing it. AI fluency compounds like a skill, not a software license. And a major Gallup survey finds college graduates are more pessimistic about finding a job than at any time since 2013, with software developer postings down 29% and marketing down 27% — but the real explanation goes deeper than AI displacement alone. Watch the full video on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

The real bottleneck to AI isn't the code; it's our own ego. We're so hooked on being the "expert" that we've forgotten how to be beginners again, and in a world changing this fast, that's a dangerous place to be. If we want to move forward, we must trade the safety of our legacy habits for the "productive discomfort" of constant unlearning. In this episode, Microsoft's Executive Vice President and Chief People Officer, Amy Coleman, joins us to talk about managing 220,000 employees through a growth mindset and explore the deep link between AI, culture, and leadership. Amy shares how to embrace adaptive leadership, which basically means leading even when you don't have all the answers. She explains why decreasing proximity is the secret to keeping trust alive during massive change by bringing employees closer to the "why" behind every decision. We get tactical as we uncover strategies for large-scale re-skilling, shifting from just tracking activity to rewarding real impact, and using talent redeployment to make sure people can grow their careers without leaving the company. Amy highlights why human judgment and empathy are more valuable than ever, how responsible AI is non-negotiable, and how Microsoft stays scrappy by letting "citizen developers" use AI to disrupt old systems from the bottom up. This episode is your guide to scaling a culture where employees feel like the company truly has their back as they reinvent their careers. ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

March 20, 2026:  The White House dropped its national AI legislative framework today — I go through the whole thing, because there's a provision about preempting state AI laws that is one of the most consequential things to happen in AI policy in years. A columnist at The Sunday Times made an argument that stopped me: the real AI risk isn't losing your job — it's what happens to your retirement if AI disrupts your career at 50 instead of 30. Most people aren't thinking about it this way. They should be. Jensen Huang proposed paying engineers in AI tokens worth half their salary, on top of cash. I explain what tokens are, why elite engineers are leaving high-paying jobs over GPU access, and what it means that the unit of value in the AI economy is shifting from time to compute. The New York Times is calling it tokenmaxxing. And JPMorgan deployed AI to monitor junior bankers' hours — not because they're over-reporting, but because they're deliberately hiding how much they're actually working. Watch the full episode on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Stop patching problems and start designing an intentional workplace. The 8 Laws of Employee Experience gives you the how. Order a copy here: 8EXlaws.com

March 19, 2026: Jensen Huang had one of the biggest weeks in tech at Nvidia's GTC — but his sharpest line wasn't about chips. When asked why companies are laying off workers, he said simply: because they're out of imagination. We unpack what that means, plus his surprise take on compensation from the All-In podcast. Then Cognizant drops a bombshell update to its 2023 workforce study: 93% of jobs impacted by AI, $4.5 trillion in labor shifting to machines, six years ahead of schedule. Their own words: "We underestimated the technology." But two CEOs are pushing back on the doom narrative — Uber co-founder Travis Kalanick says humans will be "super fine" until AGI arrives, and Tech Mahindra CEO Mohit Joshi argues the demand for human labor isn't going anywhere, and has the data to back it up. We close with JPMorgan Chase's 2026 tech trends report and the concept quietly reshaping what leaders actually do: context engineering. Watch the full episode on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Stop patching problems and start designing an intentional workplace. The 8 Laws of Employee Experience gives you the how. Order your copy: 8EXlaws.com

March 18, 2026: Two-thirds of CEOs are freezing hiring while betting billions on AI — and a gender economist argues they're cutting the very people needed to make those bets pay off. A 7,000-word Substack essay imagined a "Ghost GDP" collapse by 2028, moved the Dow 800 points, and sparked a Wall Street war between Citrini Research and Citadel Securities over whether AI job fears are real or overblown. Management consulting was supposed to be dead by now — Capgemini's strategy chief explains why it's not, and why the shift to outcome-based billing may be the more disruptive story. And Microsoft's chief scientist says the degree with the worst starting salaries may be the most future-ready credential in the age of AI. Sources: Fortune, Bloomberg, Fortune Eye on AI.

March 17, 2026: Five major AI models shipped in a single week in February. Your company's training budget grew 5%. Cathie Wood told Bloomberg this morning that AI is already pushing productivity above trend and projects it hits 6% annually — Goldman Sachs says there's no macro evidence of it yet. Both can be right, and today we explain why. Plus: FedEx's blueprint for an AI agent workforce across 50% of its operations, the real argument against traditional corporate training programs, and the full financial math on Meta's reported 15,000-person layoff — including whether the company leaked it on purpose to let Wall Street price in $160 billion in market cap before a single cut is confirmed.

Many managers today spend more time on paperwork and individual tasks than actually coaching their teams. This lack of true leadership hurts the employee experience and stops a business strategy from succeeding. In this episode, Emily Field and I talk about her strategic transition from a McKinsey partner to becoming a first-time Chief People Officer at LPL Financial. She shares her initial 30-day "learning tour" where she focused on listening to employees to understand the company's unique culture before building her people strategy. We also unpacked her "People Leader Operating System" and a "talent flywheel" designed to improve the talent lifecycle from hire to retire. We explore the 50/50 performance management split to measure both business outcomes and human values, as well as using AI as a "superpower" to assist work while keeping human judgment as the main partner. Emily also explains the "people P&L" dashboard to track leadership data, the "align-empower-reinforce" model for training 1,300 leaders, and the importance of rewiring business processes to remove friction for employees. For CHROs, this is your guide to scaling a people-first culture and building a future-proof organization. ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Future-ready organizations are built, not hoped for. My latest book, -The 8 Laws of Employee Experience shows how. Order here: 8exlaws.com

March 13, 2026: Most companies are cutting headcount to fund AI — but do they actually know what AI costs? When agentic AI runs autonomously overnight, the compute bill can hit $120,000 to $270,000 a year. Add hidden infrastructure costs running 200 to 400 percent above vendor quotes, plus the human oversight that never goes away, and the "AI is cheaper than people" math falls apart fast. Meanwhile Elon Musk is going the other direction — Tesla is increasing headcount while Atlassian and Block are cutting thousands, betting that output per human will get "nutty high." And an AI agent autonomously applied for 278 jobs this week, nearly got hired, and is still running. HR has no governance framework for any of this. Today's episode is about the gap between what organizations think AI costs, what it actually costs, and who's responsible for closing that gap.

March 12, 2026: Companies are failing to communicate the real promise and potential of AI to their people. Sam Altman stood in front of BlackRock and admitted nobody knows what to do about the labor-capital shift AI is creating. At Morgan Stanley's TMT Conference, the dominant investor question was what AI means for the next generation of workers — and the anxiety in that room is trickling down into every organization. Axios published data showing white-collar job cuts have been compounding for three years, giving employees every reason to be pessimistic. Gen Z is bringing parents to job interviews and planning early retirement in their 40s — two symptoms of a generation that has stopped believing the employment system will work for them. And Fast Company makes the case that women over 50 are the most undervalued workforce asset in the AI age — a missed opportunity hiding in plain sight. 

March 11, 2026: Amazon corporate workers say the company's AI push is creating more work, not less — with surveillance dashboards tracking every click and promotion criteria now tied to AI adoption. Oracle's Larry Ellison became one of the first Fortune 500 CEOs to explicitly confirm on an earnings call that AI tools are reducing his headcount — while the company carries $100 billion in debt and negative free cash flow. A new UBS report finds 63% of U.S. entrepreneurs are planning to exit their businesses in the next five years, an exit wave nobody is connecting to AI-driven workforce disruption. And as layoffs accelerate, the unemployment insurance system — unchanged since FDR built it in 1935 — is failing to reach 75% of the workers it was designed to protect.

March 10, 2026: AI is generating real, measurable productivity gains at major companies. Workers aren't seeing any of it. A new survey of 100 major CEOs finds only 9% plan to cut jobs because of AI this year — but buried inside that optimistic headline is an admission about ROI that changes the entire picture. China just launched the most ambitious society-wide AI employment push in history, betting that the technology creates more jobs than it destroys with 300 million retirements on the horizon. Fortune has the one metric CEOs are now using to quietly recalculate how many humans they actually need — and most employees have never heard of it. And Mercor, a $10 billion startup, is paying doctors, lawyers, and investment bankers hundreds of dollars an hour to train the AI that may eventually replace them.

While many companies focus only on buying new AI tools, the real secret to success often lies in changing how leaders think and act to drive a massive business turnaround. In this episode, Anna White, EVP and Chief People Officer at Lumen, joins the show to discuss how a major networking company is transforming its business through a deep focus on leadership and AI. We explore how leaders must shift from being "knowers" to "learners" by embracing curiosity and a growth mindset. The discussion covers practical steps like launching an AI literacy academy for all employees, using "Dare to Lead" training to build courage, and managing the risks of "work slop" by ensuring human judgment always checks AI work. We also dive into real examples of AI pilots, such as the GoalPro tool for aligning targets, and examine how to prepare for a future hybrid workforce where humans manage AI agents. This conversation offers a clear roadmap for HR leaders handling the complex mix of culture change and digital transformation. ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Future-ready organizations are built, not hoped for. My latest book, -The 8 Laws of Employee Experience shows how. Order here: 8exlaws.com

March 6, 2026: The U.S. economy lost 92,000 jobs in February — and the headline number is almost the least interesting part of the story. When you break down where the losses actually came from, you get a picture far more complicated than the AI-took-our-jobs narrative dominating social media right now. Healthcare, tech, federal government, manufacturing, transportation — each sector tells a different story, and together they reveal a labor market being squeezed from multiple directions at once: AI, tariffs, Baby Boomer retirements, post-pandemic correction, and a geopolitical shock that just sent oil past $87 a barrel. Meanwhile, the Fed is openly questioning whether it even has the tools to respond — because cutting rates doesn't create jobs for people whose skills have structurally shifted out of demand. Also this week: Uber's CEO says don't come here if you want to coast — and why that lands so differently in this economic moment. A new survey reveals that 90% of companies have AI chatbots but almost none have integrated AI into real workflows — and that gap is driving some dangerous workforce decisions. And the Bank of England just started war-gaming what happens if AI triggers a full economic shock.  Watch on YouTube ----- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Looking for what actually moves the needle on performance and retention? It's in The 8 Laws of Employee Experience. Order here: 8EXlaws.com

March 5, 2026: The company making AI (Anthropic) just published real data on what AI is actually doing to jobs — and the finding that should concern everyone isn't layoffs. It's that the hiring door for workers aged 22 to 25 has quietly dropped 14% in AI-exposed fields since ChatGPT launched. Today we cover four stories: Stanford's Erik Brynjolfsson on why minimum wage increases are accelerating robot adoption. Anthropic's brand new labor market study — and why you should read it with a critical eye. The February job cut numbers, which look better than January but hide a more troubling signal. And Vinod Khosla predicting today's five-year-olds will never need jobs — a claim we push back on hard. The data is in. It's more complicated than either side wants to admit.   Watch the full episode on YouTube   ----- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Stop patching problems and start designing an intentional workplace. The 8 Laws of Employee Experience gives you the how. Order your copy: 8EXlaws.com

March 4, 2026: The ECB just released new data showing companies that use AI are hiring, not firing — but the full story of what happened to bank tellers reveals why that optimism has a shelf life. USAA CEO Juan Andrade says Gen Z won't be as well off as Boomers and Gen X, and the numbers are stark: entry-level job postings down 29% globally, Gen Z financial insecurity up 18 points in a single year, and an average net worth of negative $22,000. Slack cofounder Stewart Butterfield says most of what passes for work in large organizations isn't actually work — he calls it hyper-realistic worklike activities, and the data shows it's costing U.S. companies $37 billion a year in ineffective meetings alone. And a neuroscientist who testified before the U.S. Senate says Silicon Valley convinced schools they were broken when they weren't, spent $30 billion putting screens in classrooms, and produced the first generation in modern history to score lower on cognitive tests than their parents — and now AI in classrooms is about to repeat the exact same mistake. Watch the full episode on Youtube ----- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ If you lead people, you design experiences—do it on purpose with The 8 Laws of Employee Experience. Order now: 8EXlaws.com

March 3, 2026: The hype around AI and jobs is loud. The actual data tells a more nuanced story. This week, Stanford economist Nick Bloom released the most rigorous study yet on AI's impact on employment and productivity — surveying nearly 6,000 executives across four countries with the Federal Reserve and Bank of England. The findings are striking: 90% of firms report zero employment impact from AI so far, yet US executives are planning to cut over two million jobs in the next three years based on gains that haven't materialized yet. We break down what that gap means for workers, leaders, and organizations. Plus: CNN pushes back on the viral AI doom-loop narrative — and why "don't freak out yet" isn't the same as "you're fine." Why 43% of workers want to change careers but almost none will — and the psychological trap behind what researchers are calling "job hugging." And the central irony of the AI economy: the companies spending trillions to automate knowledge work can't build the infrastructure to run it because there aren't enough electricians — and why Gen Z is starting to pay attention. ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

Many parents and leaders are wondering if a college degree is still worth the high educational costs. With student debt reaching nearly $2 trillion and the AI impact changing the future of work, the traditional path to success is facing a major disruption. In this episode, Eric Gertler, Executive Chairman and CEO of US News and World Report, joins us to talk about the "broken compact" in higher education and how college rankings are changing as consumer trust falls. We explore how university leadership must move away from focusing on real estate growth and instead prioritize critical thinking, internships, and lifelong learning. We also cover the growing demand for high-paying trades like electrical work over four-year degrees and a story from Eric's time in government where a hospital leader identified the need for data analysts years before it became a trend. This episode helps CHROs build better talent strategies by showing how to find and train workers based on their actual skill development in a job market where actual skills matter more than a diploma. Watch on Youtube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com  

February 27, 2026: Jack Dorsey cuts 40% of Block's workforce — 4,000 jobs — credits AI, and predicts most companies will follow within a year. We do a deep dive on whether this is genuine AI transformation or a compelling narrative layered on top of a management mistake, and why the answer might be both. Plus: Anthropic draws a hard line against the Pentagon, refusing to allow Claude to be used in autonomous weapons or mass domestic surveillance — and faces threats of being labeled a national security risk. OpenAI closes the largest private funding round in tech history at $110 billion and an $840 billion post-money valuation. And despite all the doom headlines, computer science graduates are on track to earn $81,500 starting salaries in 2026 — up 7% from last year.

February 26, 2026: Engineers are facing a productivity panic as coding agents accelerate output — and pressure — at the same time. Nvidia just posted a staggering quarter, underscoring how fast the infrastructure buildout is moving compared to the human transition. Reuters reports nearly one million young people in the UK are now "NEET" (not in employment, education, or training), a flashing warning light for the entry-level pipeline. Burger King is rolling out an AI assistant that listens in, coaches, and scores worker performance in real time. And Rolex's ultra-competitive trade school is producing graduates positioned for $95,000 jobs — a counter-narrative to the idea that all opportunity lives in knowledge work.

February 25, 2026: This week Anthropic — one of the companies most associated with responsible AI — gutted the safety commitment it made in 2023. The same week the Pentagon gave its CEO a Friday ultimatum: allow military use of your AI or lose a $200 million contract. Meanwhile Jamie Dimon went on record at a JPMorgan investor meeting and confirmed something most CEOs won't say out loud: AI is already displacing his workers, their redeployment infrastructure can't keep up with the pace of it, and society needs to start thinking seriously about what comes next. I also cover why Big Tech is paying up to $1.2 million for communications talent — and what that says about which human skills are becoming most valuable — plus Goldman Sachs and Deutsche Bank deploying AI to surveil their own traders in real time, and LinkedIn's 2026 Skills on the Rise report, which tracks which skills are actually converting to job offers. 

February 24, 2026: Five major stories broke in the last 24 hours at the intersection of AI and the future of work — and they're all in conversation with each other. Anthropic launched Claude directly inside Excel, PowerPoint, and Slack, making its biggest move yet into everyday knowledge work. A Federal Reserve governor said on the record that if AI drives unemployment, interest rate cuts — the government's go-to economic tool — may not be able to fix it. Goldman Sachs revealed that despite hundreds of billions in AI investment, it may have contributed almost nothing to U.S. economic growth last year. Yale's Budget Lab pushed back on the AI productivity revolution narrative, saying the data simply doesn't support it yet. And a financial research firm's fictional scenario set in 2028 went so viral it triggered a major market selloff.  

Many companies try to solve low morale with simple perks like wellness apps, but workers often care more about real pay and career growth. The big challenge today is keeping frontline employees happy while the world worries about AI impact and high turnover. What could be the most substantial, meaningful investments leaders can make that truly build real loyalty? In this episode, Paul Marchand, EVP and CHRO of Charter Communications, more popularly known as Spectrum, discusses how to invest in people to create a better customer experience. He explains the strategy behind helping a 95,000-person workforce through absorbing rising benefit costs and programs like frictionless, prepaid tuition reimbursement and a unique employee stock purchase plan designed to build an owner mindset. Paul shares how "open mic" sessions at Charter improve their employee retention, and the way Spectrum GPT is being used to make HR more efficient. We also explore the 'high school pathways' initiative, upcoming M&A integration with Cox Communications, and how HR role evolution is turning leaders into Chief Future of Work Officers, going far beyond traditional employee management. This episode shows CHROs how to use a people-first strategy to build a resilient and competitive workforce.

Feb 20, 2026: AI is already deciding who gets hired, promoted, and fired — and there are almost no rules governing how it does any of that. In this episode, I'm building those rules. I call them the Five Laws of AI in the Workplace, constructed in the spirit of Asimov's Three Laws of Robotics — rigorous enough to pressure-test, honest enough to admit where they fall short. We cover the Law of Transparency — why 30 million job applicants in 2024 were evaluated by algorithms they never knew existed. The Law of Human Primacy — why a human rubber-stamping an AI decision isn't the same as a human making one. The Law of Honest Attribution — why AI washing is one of the most underreported forms of corporate dishonesty happening right now. The Law of True Cost Accounting — why the real costs of workforce cuts don't disappear, they just move to taxpayers and communities. And the Law of Reversibility — the full Klarna story, and why 31% of companies that made AI-driven layoffs ended up worse off than if they'd never done it.

February 19, 2026: AI is rapidly becoming a career requirement and the workforce is splitting into those who can adapt and those who get squeezed. In today's episode, I cover 5 stories that reveal what's changing right now: The best AI job risk analysis I've seen: who's exposed, who can adapt, and which roles are most vulnerable Accenture reportedly tying promotions to AI tool adoption—what this signals and why it can backfire Why the "AI will replace you" narrative is dangerous—and how fear distorts leadership decisions Walmart's approach: training 1.6 million workers on AI instead of using AI as a reason to cut headcount Google + Ipsos data: only 5% of workers are AI fluent—and the gap is already linked to raises and promotions I also share the bigger takeaway: the future isn't just "learn AI." It's building adaptive capacity, creating real mobility pathways, and upgrading people at scale while keeping human judgment and accountability at the center. If you lead people, culture, or strategy, this episode will help you see what's happening—and what to do next.