Future Ready Leadership With Jacob Morgan

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.

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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.

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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.