Future Ready Leadership With Jacob Morgan

May 21, 2026: Today might be the most consequential single day for the future of work in all of 2026. In a two-hour window yesterday afternoon, OpenAI's AI autonomously solved an 80-year-old math problem, Anthropic announced its first-ever profitable quarter at $10.9 billion in revenue, SpaceX filed a $1.75 trillion IPO, and every major tech CEO was summoned to Washington for an AI executive order signing. We break down what all of it means for leaders and workers. Then: Microsoft and EY just committed $1 billion to deploy AI inside every major enterprise on the planet — finance, tax, HR, supply chain, healthcare. This is the ERP moment for AI, and it's happening now. And finally: California's Governor signed the first executive order by any U.S. governor aimed at protecting workers from AI displacement. We look hard at what it actually does and what it doesn't.

May 20, 2026: Meta began notifying 8,000 employees of their layoffs this morning — while simultaneously redirecting $145 billion into AI infrastructure. Andrej Karpathy, one of the founding members of OpenAI and the architect of Tesla's self-driving brain, just joined Anthropic with a specific mission: use AI to make AI better. And a major new Milken-Harris Poll finds that 80% of Americans want government workforce transition programs now, 68% say they're navigating the AI shift entirely alone, and 88% of business leaders privately admit companies cannot solve this without a coordinated national response.

May 19, 2026: Everyone has an opinion about AI and jobs. Today we have actual data — three major studies published this week that, taken together, tell a story that's more nuanced, more surprising, and more actionable than anything you'll hear in the headlines. First: a Wall Street Journal report reveals that the companies going deepest on AI are actually increasing entry-level hiring — nearly three times more than are cutting — and why a 22-year-old with AI fluency may be the most valuable hire in the market right now. Then we get into why nearly half of Gen Z workers say AI is making them cognitively weaker, what London taxi drivers and GPS research tells us about what's actually happening to the human brain, and why the most dangerous AI user isn't the person who refuses to use it. And we close with Gartner's bombshell finding: 80% of companies cutting headcount for AI are seeing zero ROI — and by 2030, the ones that starved their talent pipeline this year will be paying a 15% premium just to catch up. Plus: why commencement speakers keep getting booed.

If your organization isn't obsessed with how fast your people can learn, you're already falling behind in the race to "out-learn" the competition. In this episode, I'm joined by Susan LaMonica, the Chief Human Resource Officer at Citizens Financial Group—a super-regional bank with $226 billion in assets and 18,000 employees. 
We explore how they are driving a massive workforce transformation to build a team that is ready for the future of work. We dive deep into their journey of becoming a skills-based organization and how they use a "skills taxonomy" and an internal talent marketplace to support mobility and career development.
Susan also explains their "measured approach" to AI governance within a heavily regulated industry, including the role of their Generative AI Council. We unpack their "Reimagine the Bank" initiative, where they are rethinking 47 different business processes to drive value and effectiveness. From launching internal "gigs" to tracking productivity metrics like customer NPS and employee sentiment, this conversation is a strategic guide for any leader looking to blend high-tech tools with a human-centered culture.

Watch the full video on YouTube
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May 15, 2026: The Guardian documents the tech industry's accelerating purge of middle managers — and history says companies have tried this exact bet before with Jack Welch and the Reengineering movement, with disastrous long-term results. The Wall Street Journal reports companies are drowning in ungoverned AI agents, raising a critical question: is agentic AI actually different from the RPA sprawl crisis of a decade ago, and is the difference showing up in real outcomes? And Yale's Jeffrey Sonnenfeld and NYU's Gary Marcus argue in Fortune that America's 1,200 AI bills have no shared test for what makes good policy — and the regulatory patchwork hardening in place rhymes uncomfortably with the conditions that produced the 2008 financial crisis.