Future Ready Leadership With Jacob Morgan

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/