The Future Of Work Podcast With Jacob Morgan | Futurist | Workplace | Careers | Employee Experience & Engagement |

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 d

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 rewrit

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,

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-

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 t

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

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

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 in

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

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

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 wh

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

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 com

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 res

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.