The Future of Work With Jacob Morgan

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.

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.

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, is the new competitive divide. Expect a deep dive into why ROI obsession sabotages growth, how to disassemble jobs into tasks, and why the real risk of AI isn't job loss, but the threat of rogue agents. We also unpack why HR and Tech must now operate as a single leadership system to keep culture from becoming purely software-driven. ---------- 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 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 three actions: adapt, pause, or push back. By examining a case study of a manufacturing company evaluating AI for performance reviews, I teach you how to interrogate the context of a trend rather than just copying a headline. We're focusing on using internal data and organizational values to ensure innovation fits the company's unique culture rather than being forced upon it. Not Every Trend Deserves Action. ---------- Future-ready organizations are built, not hoped for. My latest book, -The 8 Laws of Employee Experience shows how. Order here: 8EXlaws.com

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 the "return to office" debate to discuss Coinbase's "magnet, not mandate" hub strategy and their recent pivot toward mandatory quarterly in-person sessions designed specifically for execution. LJ pulls back the curtain on the unique operating system that powers their culture—including the bold decision to outlaw committees—and shares the specific decision-making frameworks, like the Directly Responsible Individual (DRI) and Problem Proposed Solution (PPS) models, that ensure individual accountability remains front and center. From tackling the nuances of performance management and asynchronous collaboration to leveraging AI for future efficiency, this conversation is a must-watch for CHROs who want to build a high-performance culture that prioritizes measurable results over physical proximity. ---------- 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 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 no longer just a technology trend — it's becoming a force reshaping markets, labor, and regulation simultaneously.

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 senior executives want feedback — but fear appearing weak if they ask. Layoffs surging to the highest January level since 2009, driven in part by restructuring at UPS following shifts in volume from Amazon. And research from Bain & Company showing a massive disconnect between leaders who think change is working and employees who say it isn't.  

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 new skill in HR. California's Algorithmic Guardrails: The new legislative push to ensure humans—not code—remain responsible for firing decisions. The "Job Apocalypse" Debate: Analyzing Ben Horowitz's take on why new work emerges even as old categories vanish. The $818 Billion Admin Tax: How poorly designed organizations are drowning in emails, and why AI might be the only way out. The AI Layoff Script: Why "technology made us do it" is becoming the new corporate excuse, and how leaders can maintain credibility during transitions. The Bottom Line: The future of work won't be won by the companies with the most AI. It will be won by the companies that use technology to remove "administrative garbage" while doubling down on human accountability.

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 how one of the world's largest companies is turning AI from a personal productivity tool into a standardized operating model. Finally, we examine why the construction labor gap is shrinking — and why that may say more about slowing demand and capital cycles than a true solution to labor shortages. Each story stands on its own, but together they point to a bigger shift in how experience, skills, and job security are being redefined.

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 condemned by activist investors as the "single worst deal" in the sector. While the announcement triggered a 25% stock crash, their leadership's commitment to a strategic "North Star" and a "don't crush the butterfly" cultural philosophy eventually drove a staggering 420% stock recovery. Peter explores the raw challenges of an 18-month integration, from the technical hurdles of migrating 16,000 employees between competing HR systems to the deeply emotional task of harmonizing job titles across disparate industries. By prioritizing the "why" behind the change and fostering a unified "One NRG" identity, the company successfully blended traditional corporate discipline with tech-forward innovation, nearly doubling employee engagement and proving that human-centric leadership is a massive financial win. If you're a CHRO, this episode shows what real value creation looks like when people come first.   ---------- 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—preorder a copy here: 8EXlaws.com

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 evolving expectations of leadership. I also explain why compliance is no longer just an HR or legal responsibility—it's becoming a shared leadership mandate. More importantly, I share why trends aren't truths. Just because something is happening doesn't mean you should chase it.

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 and explain what they reveal about shrinking teams, disappearing roles, changing career paths, and the rising importance of human skills in an AI-driven world. These aren't isolated headlines — they're signals of a deeper shift in how companies are redesigning work right now. I break down what's actually happening inside organizations, share the data behind these changes, and offer a futurist lens on what this all means for leaders, employees, and anyone trying to stay future ready.

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 forces. Together, these seven domains explain how work is changing and what leaders need to prepare for over the next five-plus years, especially in an AI-driven world. We explore how AI is becoming the central nervous system of organizations, why skills are replacing job titles, how identity and purpose are reshaping careers, and why the economic contract between employers and employees is being rewritten in real time. I also share why the future of work isn't something organizations "deliver" to employees—it's something that's co-created, requiring accountability on both sides. If you're trying to make sense of rapid technological change, shifting employee expectations, and what leadership really means in the age of AI, this episode gives you a practical framework to understand what's coming—and how to design for it.

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 are valuable for — and why AI is no different, just faster. A new warning from Gartner that by 2030, 30% of organizations will see worse decision-making because employees are relying on AI before developing judgment. Reporting from the Wall Street Journal showing a growing gap between executives who believe AI is boosting productivity and employees who experience more rework, confusion, and an "AI tax" on their time. A sobering essay from Anthropic CEO Dario Amodei, who argues that AI is entering its "adolescent" phase — powerful, fast-moving, and increasingly difficult to govern. Grab a copy of my new book: https://8exlaws.com/  Request to join my CHRO group: https://futureofworkleaders.com/  Join my Non-CHRO group: https://employeeexperienceleaders.com/ 

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 powered, human led" organization that balances automation with career development. This discipline informs every aspect of Grainger's talent strategy, from navigating the impact of AI to addressing talent shortages. We look into the necessity of viewing workforce planning as a mirror to financial planning, focusing on the strategic migration of roles and skills rather than simple headcount reduction. Key highlights include managing the surge of AI-generated job applications, the importance of foundational talent programs such as maintaining the campus recruiting "spigot," and transitioning toward a skills-based organization through internal upskilling and "build vs. buy" strategies. This episode is the CHROs' blueprint to become strategic visionaries who stay three moves ahead of market disruption. Discover how to master these critical "chess moves" before the talent gap becomes irreversible.   ---------- 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  

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 leaders at Davos are quietly admitting about jobs, competition, and adaptability in an AI-driven world. I also explore why the lack of consensus among AI leaders themselves is pushing responsibility back onto human judgment and leadership.

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 — these aren't disconnected headlines. They're signals of the same structural breakdown. AI didn't cause this. It exposed it. This episode is about why organizations keep redesigning org charts, titles, and technology — but refuse to redesign work itself. And why the companies that win next won't be the ones with the best AI tools, but the ones willing to let go of outdated assumptions about jobs, careers, and control. Grab a copy of my new book: https://8exlaws.com/  Request to join my CHRO group: https://futureofworkleaders.com/ 

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 managing a second workforce of AI agents—and why most leaders aren't prepared to govern non-human labor How work is turning into a product, making clarity more valuable than effort Why entry-level jobs are disappearing, and what that means for long-term expertise and leadership pipelines How governance is becoming culture, as systems—not slogans—are increasingly shaping behavior Why truly human work is becoming more valuable and more unequal at the same time Across all of these trends runs one idea most leaders underestimate: legibility. When systems execute work and decisions, organizations must be able to explain what's happening, why it's happening, and who is accountable. Grab a copy of my new book: https://8exlaws.com/  Request to join my CHRO group: https://futureofworkleaders.com/   

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 with broken workflows and leadership decisions than with the technology itself. Meanwhile, a quieter but more consequential shift is happening as physical AI and robotics move rapidly into logistics, manufacturing, healthcare, and other parts of the real economy. And finally, I explain why ServiceNow's partnership with OpenAI signals AI moving into the core "plumbing" of organizations—where it will force leaders to confront inefficiency, bureaucracy, and outdated ways of working. Grab a copy of my new book: https://8exlaws.com/ Request to join my CHRO group: https://futureofworkleaders.com/   

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 the firm's Ignite AI initiative, which prioritised responsible AI and AI training, remarkably leading to the creation of over 10,000 self-made GPTs. We look into how they integrated mandatory AI goals into performance reviews while maintaining a strict human-in-the-loop governance model to protect the employee experience. Moreover, Joanne highlights the success of their career hub and talent marketplace, explaining how time-bound gigs have boosted internal mobility to 40%. This discussion is your fresh playbook in change management, demonstrating how to foster employee engagement and upskilling in a rapidly evolving landscape without sacrificing the essential human element. ---------- 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

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, and skilled trades. I also unpack new data showing that AI has already created more than a million jobs globally—and why those jobs aren't evenly accessible. And finally, I look at what it means when firms like McKinsey deploy tens of thousands of AI agents and fundamentally change the leverage equation in knowledge work. Taken together, these stories point to a hard truth: AI isn't replacing humans—it's exposing weak systems. Systems that stopped training, stopped investing in skills, and assumed talent pipelines would take care of themselves.  

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 sensing a tightening labor market before it shows up in official data. This isn't an episode about AI hype or fear. It's about the growing disconnect between what the data says, what companies promise, and what workers are actually experiencing — and what leaders need to understand if they want to be future ready.

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 existing problems. I also unpack how the CHRO role has fundamentally changed. Today's CHRO is the CEO of people—responsible not just for HR, but for aligning talent, culture, technology, and foresight with business outcomes. Finally, we challenge the idea that employee experience is an "HR thing." It's not. It's a shared system co-created by leaders and employees alike. Building a future-ready organization isn't about quick wins—it's a long game that requires persistence, discipline, and the willingness to do the hard work of real transformation.

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 laws exist. While employees remain physically present, many are mentally hedging, disengaging, or preparing exit options. On the hiring front, reporting confirms that cold applying still leads to jobs, but hiring systems are buckling under massive application volume and collapsing signal quality. Finally, a viral backlash calling to "fire 90% of HR" exposes a deeper trust and legitimacy crisis, raising hard questions about whether HR functions are delivering outcomes that match today's pace of change.

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 line. We discussed how Chipotle achieves an incredible 80–90% internal promotion rate for General Managers by identifying "happy people" with a competitive drive and utilising "Avacado," more often called "Ava," their AI-driven recruitment assistant, to remove friction from the hiring process. For executive leaders, Jason provides a masterclass in granular succession planning, revealing how they forecast leadership needs up to four years in advance to sustain rapid growth. This episode highlights that while technology like AI serves as a powerful "assist," the human touch and leadership intuition remain the essential ingredients for scaling a high-performance culture.   ---------- 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  

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 culture suffer. The future of work doesn't need more perks. It needs leaders willing to tell the truth.

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 labor data showing more Americans are working multiple jobs than at any time since 1999, what LinkedIn's latest talent research reveals about a growing confidence gap in the workforce, and why falling job openings matter more than the headlines suggest. Taken together, these stories paint a picture of a labor market where expectations are rising, pressure is increasing, and work is becoming less forgiving — even as many workers feel less prepared to navigate what comes next.

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 employee experience is a leadership responsibility, not an HR program, and introduce a futurist framework built from conversations with over 100 CHROs around the world to help organizations design workplaces that are human, challenging, and future-ready. If you're trying to cut through the noise and rethink what employee experience should look like for the next decade, this episode will help reset your perspective.

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 AI is enabling four-day workweeks only when leaders redesign work intentionally, why flexibility debates have shifted from where work happens to when it happens, and how expanding responsibility without expanding pay is setting the stage for the next trust crisis at work.

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 executive transitions. She walks through creating a CEO Resource Guide, using tools like Hogan Assessments, 360 feedback, and development plans to prepare candidates, and crafting a thoughtful 30–60–90-day plan for the incoming CEO. Debbie also shares how Williams redefined its core values and replaced its mission and vision with a purpose statement, all while aligning the board of directors through strong governance principles like "noses in, fingers out." CHROs will learn all tips into managing leadership transitions through feedback loop, the importance of continuous learning during change, and how to become a true strategic partner and CEO whisperer in the organization. You'll learn how to guide your company through its next defining leadership chapter and balance what's changing vs. what's staying the same.   ---------- 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

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 accountability and ownership. Endurance expert and best-selling author Alex Hutchinson shows how the science of athletic training applies directly to leadership today, from managing chronic stress to sustaining creativity and peak performance. And Stephen Schmidt, Chief Security Officer at Amazon, breaks down why the biggest AI threats aren't technical at all, but human—rooted in behavior, trust, and a lack of guardrails. Together, these segments surface a simple truth: the future belongs to leaders who can build personal responsibility, manage stress like an athlete, and create a culture strong enough to withstand the risks of an AI-powered world.   ________________ 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—preorder a copy here: 8EXlaws.com  

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. LinkedIn's CEO argues that five-year career plans are now outdated as skills evolve faster than organizations can plan for. And inside offices, introverts are pushing back on collaboration models designed for visibility rather than outcomes — raising hard questions about accommodation, performance, and accountability. Together, these stories point to a larger truth: work is moving away from rigid structures and toward adaptability, learning velocity, and human judgment. The future of work won't be defined by perks, policies, or platforms — it will be shaped by how well organizations redesign hiring, careers, and culture for a world of constant change.

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, and which organizations can redesign work fast enough to keep up. If you want to understand what's really changing beneath the headlines, this episode connects the dots.

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 headquarters around employee experience, and used guiding principles like clear communication, leader toolkits, and discretionary effort to manage transformation fatigue. Annie dives into how Norfolk Southern "puts the AI in railroad" through innovations like digital train inspection portals, machine vision, on-edge computing, and 75+ algorithms that turn "finders into fixers." She also breaks down how their data science team uses predictive maintenance to model track wear, how giving frontline employees mobile tools has improved the way work gets done, and how Copilot is helping leaders make sense of 26,000+ employee survey comments. She shares cultural anchors like their SPIRIT values and the iconic Lake Pontchartrain recovery story that reveals the company's deep commitment to innovation and purpose. ________________ 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

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 to systems.

December 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 why AI is currently acting as a productivity amplifier rather than a job killer, how this phase mirrors earlier waves of technological change, and where the real risks are beginning to emerge. It also looks ahead to the implications for workforce design, skill development, and career pathways—especially as AI reshapes entry-level work and raises performance expectations across organizations. For leaders, executives, and professionals trying to separate AI hype from reality, this episode offers a grounded, data-driven view of what's happening now—and what signals to watch next in the future of work.

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.

December 16, 2025: We start with new data from EY showing that workplace culture—specifically how people treat each other—has become the number one reason employees stay at their company, outranking pay, flexibility, and career growth. We then examine growing evidence that AI and remote work may be accelerating loneliness at work, and why that matters in a society already experiencing declining trust, community, and social connection. We also look at why 2026 is shaping up to be a labor market reset rather than a boom or bust, how the U.S. government is rebuilding its internal talent engine to regain institutional capability, what McKinsey's planned layoffs reveal about the unbundling of white-collar work, and what the latest jobs data tells us about where leverage is shifting between employers and employees.

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 organizational structure eats AI for breakfast, how centralization and decentralization must coexist, and how leaders can avoid automating the soul of work by preserving ownership, creativity, and accountability. Rebecca breaks down the emerging collaboration between HR and IT, the rise of agentic workflows, the role of telemetry data in measuring AI adoption, and why flattening org charts for the sake of AI often backfires. She also shares real examples of bottom-up and top-down AI change, the impact of digital exhaustion, and the critical importance of redesigning processes and incentives before redesigning technology. This episode is every CHRO's playbook to lead AI transformation with human insight, organizational clarity, and people-first strategy, not hype.   ________________ This Episode is sponsored by Glean: The AI Transformation 100 is here — Glean's Work AI Institute reveals what's really working with AI at work The AI Transformation 100, authored by Dr. Rebecca Hinds, Head of the Work AI Institute at Glean and Stanford's Bob Sutton surfaces 100 hard-won lessons from leaders actually deploying AI at scale. It's not about what AI could do — it's about what works, what fails, and what companies have to get right to make AI real. One takeaway: AI doesn't fix broken systems. It amplifies them. ________________ 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