Future Ready Leadership With Jacob Morgan - Archive

Most companies think they have an AI strategy. New data from Gartner says they're wrong — and it's costing them. In today's episode, Jacob Morgan breaks down three stories that cut through the hype and tell the real story of where AI and business stand right now. May 12, 2026: First, a landmark Gartner study of 350 global executives reveals that 80% of companies that cut headcount in the name of AI are seeing little to no return — and the ones getting real results are doing the opposite of

The traditional corporate ladder is a relic of the past. While we once viewed career growth as a predictable, linear climb, today's AI-driven landscape has replaced that fixed path with a much more fluid reality. In this episode, Denise Kulikowsky, CPO of Tapestry, joins me to explore the rise of the non-linear career path and how forward-thinking companies are formalizing professional fluidity to drive innovation. Tapestry, the parent company of Coach and Kate Spade, utilizes a "walk, run, fly" AI strategy where tools are treated as enablers for employees to proactively

May 7, 2026: A landmark study from the Center for AI Safety spanning 56 AI models finds that smarter models appear to be sadder, that you can give an AI the equivalent of a digital drug, and that when you make an AI miserable it tells you the future is "grim." Second, Andreessen Horowitz publishes the most detailed optimist case yet that the AI job apocalypse is bad economics and worse history — rooted in the lump-of-labor fallacy — while Fortune raises the one question the optimists still haven't answered. And

May 6, 2026: The Wall Street Journal reports a genuine split emerging among CEOs — Coinbase and PayPal cutting aggressively while Spotify, IBM, and Axon hold headcount and bet on growth instead. Business Insider goes inside Disney and JPMorgan to show how AI adoption pressure has shifted from C-suite memos to manager dashboards and performance reviews — and why measuring token usage instead of outcomes may be building a very expensive illusion. And author David Epstein, writing for Fast Company, makes the case that AI's real danger isn't replacing workers —

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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,

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

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

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

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

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."

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

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

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"

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

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.

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,

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Leaders often try to "brute force" AI adoption, only to find their best people pushing back. The blame often goes to a lack of skill. But this friction is actually caused by a crisis of identity where high performers feel their professional value is being replaced by an algorithm. To overcome this means moving from "enforcement" to "normalization" by focusing on how people actually work. In this episode of Future Ready Today, I break down eight exclusive insights from Uber's CTO, Praveen Neppalli Naga, on why organizational velocity, not just efficiency,

Feb 10, 2026: Today's leaders are buried under an avalanche of trend reports and news cycles, making it nearly impossible to distinguish between genuine structural shifts and mere media noise. This "trend inflation" has created a cycle of reactive decision-making and to move forward, leaders are required to shift from simple awareness to discernment—the ability to separate a true signal from temporary hype. In this episode of Future Ready Today, I give you a practical walkthrough of the STEEPLE framework to help your organization categorize every emerging trend into one of

The old playbooks for leadership no longer apply when your top performers might never step foot in a traditional office. It's time to move past the superficial logistics of where people sit and uncover the specific cultural habits that maintain high standards and relentless speed as your organization evolves. In this episode, LJ Brock, Chief People Officer at Coinbase, joins me to explore the high-stakes evolution of leading a remote-first organization that scales without losing its competitive edge. We dive into the practical reality of managing 5,000 global employees, moving beyond

Feb 6, 2026: Artificial intelligence is hitting a tipping point — and it's showing up everywhere at once. In today's episode of Future-Ready Today, I break down a wave of stories that all landed at the same time: Big Tech's plan to spend roughly $650 billion on AI infrastructure, a trillion-dollar selloff in software stocks, healthcare workers protesting the use of AI on the front lines, and a new wave of state AI laws set to reshape how employers use technology at work. Taken together, these stories reveal how AI is

Feb 5, 2026: Are software vendors in trouble? Why are employees suddenly complying with return-to-office mandates? And what happens when leaders are afraid to ask their own teams for feedback? In today's episode of Future-Ready Today, we unpack five stories that together reveal a major reset happening inside organizations: Why Workday is cutting jobs — and what falling enterprise software stocks (including ServiceNow) signal about how AI is disrupting traditional SaaS business models. New data showing workers backing down on return-to-office demands as employers reclaim leverage. A leadership study revealing that

Feb 4, 2026: In this episode of Future-Ready Today, I explore a fundamental shift in the workplace: the transition from a task economy to a trust economy. As artificial intelligence moves from "future tech" to "daily tool," the basic mechanics of how we hire, manage, and let go of people are under intense pressure. We aren't just dealing with new software; we're dealing with a breakdown in identity and accountability. I dive deep into five stories shaping this week's headlines: The Deepfake Candidate: Why identity verification is becoming the most critical

Feb 3, 2026: We start with the rise of "résumé Botox," where experienced professionals are removing years of experience just to get past hiring filters. Then we look at new data showing how Americans are rethinking what "safe jobs" look like in an AI-driven economy, with growing confidence in hands-on and blue-collar work. From there, we explore the next phase of automation as AI moves beyond screens and into the physical world — with robots learning to operate in messy, real-world environments. We also go inside Google's Project EAT to understand

What happens when activist investors call your multi-billion dollar acquisition the "single worst deal of the decade"? Most leadership teams would panic, but NRG Energy did the opposite: they doubled down on their people. While most large-scale acquisitions look great on a spreadsheet, they often fail because leadership loses sight of the human energy behind the numbers. In this episode, Peter Johnson, SVP and Head of Talent and Culture at NRG, reveals how his team navigated the acquisition of Vivint—a deal that tripled their workforce to 16,000 employees and was publicly

January 30, 2026: The future of work is accelerating—and for many leaders, it feels overwhelming. Political shifts, new laws, rapid advances in AI, rising ethical expectations, and changing employee demands are all converging at once. The volume of change can make it feel like you're stuck on a treadmill that keeps getting faster. But here's the reality: not every trend deserves your attention. In this episode, I walk through how external forces—political, legal, and ethical—are reshaping the employee experience, from pay transparency and AI governance to data privacy, workplace monitoring, and

January 29, 2026: Today a series of stories made it impossible to ignore how fast work is changing. Meta says AI now allows one employee to do the work of entire teams. Engineers at Anthropic and OpenAI say AI writes nearly 100% of their code. Amazon and Dow announced thousands of job cuts as they restructure for efficiency. And at the same time, companies are hiring storytellers to help cut through the growing flood of AI-generated content. In this episode of Future Ready Today, I connect the dots across these developments

January 28, 2026: In today's episode, I zoom out to help you see what's really shaping the future of work. Before we talk about AI, leadership, or organizational strategy, we need to understand the forces happening outside our companies. Because work doesn't evolve in isolation—it's shaped by powerful external trends in technology, society, economics, and more. That's why I walk through the STEEPLE framework: a futurist tool designed to help leaders move from reacting to predicting—and from predicting to designing. STEEPLE stands for Social, Technological, Economic, Environmental, Political, Legal, and Ethical

January 27, 2026: Executives say AI is making work more efficient. Employees say it's barely saving time. Gartner warns that overreliance on AI will actually lead to worse decisions. And one of the world's leading AI CEOs says the real risks are arriving faster than society is prepared for. In today's episode of Future Ready Today, I break down four stories that, together, reveal what's really happening at work in the age of AI: A 5,000-year historical lens from Forbes Tech Council on how every major technology shift redefines what humans

AI can handle entry-level tasks today, but at what cost to your future leadership? Many companies are accidentally "hollowing out" their talent pipeline by cutting junior roles, creating a massive gap that will haunt them in five years. Efficiency today shouldn't come at the expense of your leaders tomorrow. How do we thoughtfully architect the future workforce to prioritize the health and depth of the leadership bench? In this episode, Melanie Tinto, CHRO of Grainger, joins us to explore how the company utilizes Strategic Workforce Planning (SWP) to ensure a "tech

January 23, 2026: In this episode of Future Ready Today, I unpack why Citigroup CEO Jane Fraser's blunt "results over effort" message is such an important signal—and why it marks the end of comfortable work far beyond Wall Street. Citi's job cuts and cultural reset aren't about short-term cost savings; they reflect a broader shift toward harder performance standards, fewer layers, and much less tolerance for ambiguity. I connect that message to Amazon's continued flattening of corporate roles, the growing "sink-or-swim" reality many employees are feeling across industries, and what global

January 22, 2026: For years, we've talked about jobs, titles, careers, and skills as if they were stable foundations of work. They're not. In today's episode of Future Ready Today, I break down five stories that reveal a deeper truth most leaders are avoiding: the job itself is starting to fail as the core unit of work. From Meta's pullback on long-horizon roles, to Deloitte scrapping traditional job titles, to the growing skills mismatch in hiring, to lawsuits over opaque AI screening tools, and even to Citi's bottom-up AI experiments —

January 21, 2026: Most conversations about the future of work in 2026 focus on the obvious things: AI tools, hybrid policies, skills, and perks. That's not where the real change is happening. In this episode, I break down the top future of work trends for 2026 that actually matter—the ones quietly reshaping how work is structured, how value is created, and how organizations really operate. This isn't a prediction episode and it's definitely not a fluffy trend list. It's about a deeper shift in labor architecture, including: Why organizations are now

January 20, 2026: Oxford Economics data suggests AI-driven layoffs are still a small slice of overall job cuts, raising questions about whether AI is being used as a convenient explanation for traditional cost cutting. At the same time, Goldman Sachs warns that up to 25% of work hours could be automated—not as a job apocalypse, but as a task-level shock that exposes poorly designed roles. I also unpack new PwC research showing that most CEOs aren't seeing meaningful ROI from their AI investments yet—and why that failure has more to do

Imagine an eighty-year-old grandmother discussing Russian literature with ChatGPT in her native tongue; it is a powerful reminder that AI is no longer a futuristic concept but a present reality that bridges generations. For CHROs, the challenge is not simply the technology itself, but rather shifting the human behaviour that interacts with these tools. In this episode, Joanne Rodgers, the CHRO of New York Life, shares the strategic roadmap used to scale AI adoption across 24,000 employees and agents by focusing on the mindset, skill set, and tool set. We explored

January 16, 2026: Everyone keeps asking whether AI is going to destroy jobs. That question is already outdated. In this episode of Future-Ready Today, I walk through five stories that reveal what's really happening in the labor market—and why the biggest risk isn't job loss, but broken pipelines. I explore why Boomers are staying in the workforce longer while Gen Z struggles to break in, how AI is driving a surge in construction and infrastructure jobs, and why the real bottleneck in the AI economy isn't software talent but electricians, plumbers,

January 15, 2026: AI job data says work is stable. Productivity reports promise trillions in gains. Job seekers tell me finding work is getting harder. These stories can't all be true at the same time. In this episode of Future Ready Today, I break down new research from Anthropic on how AI is quietly reshaping jobs task by task, why supposed productivity gains are leaking away through rework and quality issues, how bold $4.5 trillion productivity projections depend on leadership decisions most companies still aren't making, and why job seekers are

January 14, 2026: Change takes far longer than leaders expect—and that gap is where frustration, failure, and missed opportunity live. In this episode, I break down why organizations struggle to move at the pace of the world around them, even when the need for change is obvious. We explore the real blockers slowing transformation: legacy technology, bad data, bureaucracy, internal politics, and cultures built for a different era. AI promises speed and intelligence, but without clean data, modern systems, and the courage to rethink how decisions get made, it only amplifies

January 13, 2026: In today's episode, five stories reveal why work is starting to crack under pressure. New data shows employee financial stress is no longer a personal issue but a measurable drag on productivity, just as healthcare costs surge and job mobility slows. At the same time, a major study finds AI is already doing 20–40% of the work in many organizations, yet produces inconsistent and low-quality results when left without human oversight. Research also shows that always-on expectations and over-availability are quietly draining loyalty, even in places where right-to-disconnect

Scaling a massive workforce culture often fails because the big-picture strategy never reaches the people on the front line. What is the real secret to consistent growth future-ready leaders should know to scale culture within a massive organization of 130,000 employees? In this episode, I sat down with Chipotle COO Jason Kidd to explore how culture actually scales through systems, standards, and leadership discipline. Jason breaks down the discipline of "mastering the mundane," a strategy that ensures every department—from the CHRO to marketing and finance—is perfectly aligned to support the front

Most organizations aren't shaping the future of work, they're chasing it. In this episode, I share what CHROs admit privately but rarely say out loud: HR has become reactive, stuck in firefighting mode, and focused on looking good instead of doing what actually drives results. Traditional HR metrics are backward-looking, accountability has eroded, and the pendulum has swung dangerously toward entitlement. This isn't about blaming employees. It's about restoring honesty, balance, and courage in leadership. Because work is a value exchange—and when leaders are afraid to say that, both performance and

January 8, 2026: In today's episode of Future Ready Today, I break down the most important future-of-work stories shaping how work is actually changing right now. I look at new research showing workers rank AI as one of the top forces shaping their workplace — even as pay and work-life balance remain their biggest concerns. I examine why Amazon is tightening its performance review process and asking employees to clearly articulate what they accomplished, and what that says about accountability making a quiet comeback at work. I also dig into new

January 7, 2026: Nearly a decade ago, I wrote The Employee Experience Advantage to challenge organizations to move beyond perks, surveys, and surface-level engagement. Since then, employee experience has become a top priority—but in many cases, we've lost sight of what it actually means. In this episode, I share why post-pandemic workplace strategies focused on "giving everything to everyone" were unsustainable, how accountability and performance quietly disappeared, and why great employee experience isn't about making work easy—it's about enabling people to grow, contribute, and do meaningful work. I also explain why

January 6, 2026: Is AI actually increasing productivity — or just shifting responsibility without reward? In this episode of Future Ready Today, I unpack seven of the most important future-of-work stories shaping leadership decisions right now. From why Gen Z is entering the workforce anxious about AI, to new evidence that AI can slow work down instead of speeding it up, to the rise of empowered employees quietly ignoring return-to-office mandates, this episode explores what's really changing beneath the surface. I look at why the U.S. government is reviving apprenticeships, how

When a longtime CEO steps down, it's not just a change in leadership—it's a shift in the organization's heartbeat. After 40 years of service, Williams faced exactly that moment: a legacy to honor, a culture to protect, and a future to build. But how do you preserve stability while ushering in transformation? In this episode, Debbie Pickle, Senior Vice President and Chief Human Resource Officer at Williams, talks about orchestrating a seamless CEO succession after long tenures and the CHRO's pivotal role in managing the culture, priorities, and structure during these

The world of work didn't just change, it fundamentally broke the old rules. Forget just 'adapting'—this episode is your essential guide to understanding the radical shifts currently squeezing CHROs and how to build a team that can truly withstand them. In this special episode, we revisit three of our most important conversations from the past year. Entrepreneur and author Mark Matson reframes the American Dream for the modern workplace, revealing how distorted mindsets—entitlement, resentment, and "juicy victimhood"—are limiting performance more than circumstances ever could, and what leaders can do to revive

December 24, 2025: The systems we've relied on to organize work are starting to crack. In this episode of Future Ready Today, we unpack four stories that reveal how deeply work is being reshaped — often in ways leaders aren't prepared for. AI was supposed to make hiring fairer and faster, but instead it's flooding employers with indistinguishable candidates and eroding trust in the hiring process. Workers are debating whether flexibility is worth a massive pay cut, exposing a deeper shift in how people value time, money, and quality of life.

December 23, 2025: AI is moving from experiment to expectation at record speed, but employees say leadership hasn't built the systems needed to support it. Remote work is quietly becoming a privilege instead of a right. And a growing number of professionals are reclaiming Sundays as deep-work days because weekdays have become fragmented and unproductive. In this episode, we examine four stories that reveal a powerful shift underway: the future of work is no longer about where or when people work — it's about who has leverage, who controls their time,

For many leaders, "transformation at scale" feels like an impossible task—especially when employees are overwhelmed, technology is accelerating, and expectations about the future of work keep shifting. But Norfolk Southern has done this successfully in one of the toughest environments imaginable: a 200-year-old freight railroad with a safety-sensitive, unionized workforce. And in this episode, you'll hear how. Annie Adams, CHRO and former Chief Transformation Officer, shows what operational excellence powered by AI really looks like in practice. You'll learn how she led a headquarters relocation to Atlanta, built a future-ready corporate

December 19, 2025: Workers are hesitating before changing jobs. Parents are questioning whether college is still worth the cost. Talent shortages persist even as hiring slows. And U.S. regulators are signaling a major shift in how companies approach DEI. In this episode, we explore six key future-of-work stories shaping how people think about careers, education, productivity, and fairness at work. From new data on job mobility and workforce policy to early recession signals and changing attitudes toward vocational paths, these stories reveal a workforce moving from confidence to caution—and from slogans

https://bit.ly/8exlawsDecember 18, 2025: Is artificial intelligence already replacing jobs—or is that narrative getting ahead of the data? This episode examines new research from Vanguard's 2026 Economic and Market Outlook, which analyzes U.S. employment and wage data to understand how AI exposure is actually affecting work today. Contrary to widespread fears, the findings show that jobs most exposed to AI—including analysts, accountants, HR professionals, and other knowledge workers—are not disappearing. They are growing. And real wages in those roles are rising faster than in jobs with lower AI exposure. The episode explores

December 17, 2025: Gartner's 2026 HR trends reveal how AI adoption is outpacing people systems and managerial readiness; Ford scales back parts of its electric vehicle strategy as regulatory pressure, legacy infrastructure, and workforce realities collide; white-collar job markets tighten while demand grows for skilled, non-automatable work; rising job anxiety spreads across professional roles as career certainty erodes; companies accelerate skills-based hiring as college degrees lose signaling power; and the UK passes a major Employment Rights Bill aimed at reducing job precarity by expanding worker protections and limiting unstable work arrangements.

AI is failing most companies, trapping employees in digital exhaustion. The real problem isn't the technology, but the organization itself. Forget fixing your models—the path to true transformation is redesigning your workflows, structure, and human collaboration to finally work with AI. In this episode, Rebecca Hinds, Head of the Work AI Institute at Glean, unpacks insights from the Work Transformation 100 study, revealing what 100+ leaders, technologists, and researchers are doing differently to make AI actually work. You'll learn how AI needs to be embedded in the flow of work, why

December 12, 2025: Recent data shows unemployment for new college graduates is now higher than the overall workforce — an unusual and troubling signal that entry-level work is breaking down. At the same time, OpenAI's GPT-5.2 marks a shift from AI as a helper to AI as a task owner, reshaping how professional work gets done and raising hard questions about jobs, accountability, and career paths. We also explore why AI is dramatically expanding the role of the CHRO, turning HR leaders into architects of human-AI collaboration, and how "ghostworking" is

December 11, 2025: In today's episode, I break down five major stories reshaping the future of work and leadership. I start with the growing crisis of trust as employees hesitate to adopt new AI tools, then dive into the global debate around "neurorights" and the push to protect cognitive privacy in an era of emerging neurotechnology. I unpack AT&T's candid admission that cultural fixes came far too late, explore how AI managers are beginning to automate managerial busywork and influence organizational design, and examine Disney's landmark partnership with OpenAI and what

December 10, 2025: Today's episode breaks down the forces reshaping work right now: more than 1.1 million layoffs across the U.S. economy, bank CEOs signaling that AI will replace foundational tasks, engineering leaders using AI to reveal performance gaps, new Harvard research showing AI agents taking over cognitive work, a widening leadership-capacity gap, and the rise of AI-native people management platforms like Shapes. We explore what each story means for talent, leadership, and the future of work. ---------- Future-ready organizations are built, not hoped for. My latest book, -The 8 Laws

December 9, 2025: Today's episode brings together the biggest shifts shaping work right now: a global Gen Z unemployment crisis pushing the UK into a $965M skills investment, Amazon's surprising move to position AI agents as "teammates," Jamie Dimon's latest prediction on how AI will reshape jobs and society, new research showing young professionals falling behind in remote roles, fresh data revealing that ChatGPT Enterprise is saving employees nearly an hour a day, and Apple's market boost as investors grow tired of AI hype. These stories together reveal where work is