Future Ready Leadership With Jacob Morgan

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. 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/ 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.   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 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. Watch the full episode on Youtube ---------- Looking for what actually moves the needle on performance and retention? It's in The 8 Laws of Employee Experience. Order here: 8EXlaws.com  

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. Watch the full episode on YouTube  

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. 🎧 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

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.

The U.S. economy is creating wealth… but not many jobs. At the same time, AI is spreading across the workplace, yet most employees still don't trust it to run without human oversight. In today's episode of Future Ready Today, I break down the signals behind the "jobless boom," what the Federal Reserve is warning leaders about, why the job-switching pay premium is collapsing, and the rise of AI agents that can literally hire humans to do real-world work. Stories covered: Only 17% trust workplace AI without human oversight The shrinking job-hopping premium and the loyalty tax The Fed's three AI labor-market scenarios (including a "jobless boom") Growth without jobs: investment, output, and the widening GDP–jobs gap AI agents hiring humans: the rise of the "Human API" economy  

Feb 17, 2026: Today I break down five signals that are quietly reshaping work: OpenAI hiring the creator of OpenClaw—a major shift from chatbots that talk to agents that act Why "supervisors are disappearing," and how title inflation is quietly breaking the career ladder The AI productivity paradox (backed by new NBER research): adoption is real, impact is lagging Anthropic's push into "work tools" and the battle to own the workflow layer Australia's psychosocial safety rules—and why well-intentioned mandates can spiral into dependency, bureaucracy, and leadership abdication if we don't draw boundaries  

Leaders today face a critical AI dilemma: move too quickly and risk producing low-quality "work slop," or move too slowly and sacrifice a crucial competitive edge in innovation. But one global real estate powerhouse, managing 3% of the world's GDP, has successfully navigated this tightrope for nearly three years, offering a proven model for enterprise AI adoption. In this episode, Prologis CHRO Nathaalie Carey reveals how the company solved this dilemma with an "innovation first" strategy, a journey that began by deploying an enterprise version of ChatGPT well ahead of the curve. Prologis achieved this by deliberately empowering its workforce, intentionally prioritizing widespread innovation over premature governance. By providing direct access to tools, supported by strategic training, the company drove 95% adoption rate and sparked over 1,000 crowdsourced custom GPTs. Carey explains how the company built trust by reframing AI as a "bargain" to trade mundane tasks for high-value strategic work. She also details the company's evolution from using AI for basic information gathering to utilizing it for complex decision-making and upcoming "agentic AI" workflows for processes like underwriting and background checks. Carey argues that as AI becomes a "great equalizer" for technical skills, the true competitive advantage lies in balancing technological speed with authentic human connection and the power of human imagination. ---------- 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

Feb 13, 2026: Inflation just cooled to 2.4%. Markets are betting on rate cuts. And at the same time, Anthropic raised $30 billion at a $380 billion valuation. That's not coincidence — it's transition. In today's episode, I break down: • What falling inflation actually means for capital and corporate strategy • Why Anthropic's massive funding round signals intelligence becoming infrastructure • The U.S. Department of Labor's new national AI literacy framework — and what it means for workforce strategy • The "AI scare trade" hitting markets beyond tech • Why IBM is tripling entry-level hiring in the middle of AI disruption This isn't about hype. It's about capital flows, workforce redesign, and how leadership must evolve as intelligence scales. When the cost of capital falls and the cost of intelligence falls, the cost of standing still rises. Let's unpack what this moment really means.

Feb 12, 2026: In this episode of Future-Ready Today, I break down four major stories that reveal how the workplace is recalibrating in 2026. Ford is boosting companywide bonuses to 130% after major quality improvements — a clear signal that performance discipline is back. At the same time, 60% of Gen Z say they plan to pursue skilled trade careers, challenging the long-standing college-to-corporate pipeline. I also dive into a new Harvard Business Review study showing that AI isn't reducing workloads — it's intensifying them. Employees are working faster, taking on broader responsibilities, and extending their hours, often voluntarily. And as AI adoption accelerates, safety leaders at major AI firms are quitting, raising deeper questions about ethics, speed, and institutional trust. If you're a leader trying to understand compensation strategy, talent shifts, productivity pressure, and cultural tension in an AI-accelerated world, this episode is for you.