Future Ready Leadership With Jacob Morgan

June 3, 2026: Most people use a data center dozens of times a day and have no idea what it is. Today I'm changing that. I break down exactly what data centers are, what "compute" actually means, why every new AI model needs exponentially more of it, and how short we currently are as a country — using real numbers from Goldman Sachs, FERC, RAND, and others. Then I take on the five biggest myths driving the backlash: that new data centers waste water, that they're an energy disaster, that they kill jobs, that taxpayers are funding Big Tech, and that they destroy communities. I debunk every single one with sourced data — because the misinformation around data centers is doing real damage to America's AI future. These buildings currently account for 80% of US economic growth according to S&P Global, they're funding the nuclear renaissance, and they're the front line in a race with China that we cannot afford to lose. This is the episode I'd send to anyone who thinks data centers are the enemy.

June 2, 2026: Senator Bernie Sanders wants the federal government to own half of OpenAI, Anthropic, and every major AI company in America — and he's framing it as reclaiming stolen public knowledge. We break down exactly how his American AI Sovereign Wealth Fund Act would work, why the Norway comparison falls apart, and what would actually happen to valuations, talent, and American competitiveness if it ever got close to passing. Then: Apollo Global Management's chief economist says there is zero evidence AI is killing jobs — and the data may actually back him up. We look at Jevons paradox, the AI washing phenomenon, and why the aggregate labor market story is more encouraging than the doom headlines suggest. And finally: new Federal Reserve research reveals that 64% of the rise in young worker unemployment since the pandemic traces back to remote work, not AI — and why being willing to go to the office five days a week may be the single best career move a worker in their twenties can make right now.

Have you ever walked into a meeting and felt like everyone was just wearing a mask of professional perfection while their true selves stayed hidden in the parking lot? It is easy to get lost in the data and the dashboards of modern work, but we often forget that the people behind those numbers are what actually drive the results.
We all want to be part of a team where we are seen for who we really are rather than just what we can produce. In this episode, I sit down with Veronique Subileau, the Senior Vice President of HR at UGI Corporation, to explore the invisible roots of corporate culture that turn a 140-year-old energy company into a breakthrough environment. Veronique shares her unique philosophy on why leaders must touch the heart before speaking about results, offering practical tools like her four core questions regarding fun and purpose to foster deep human connection.
You'll learn how to navigate the tension between high-performance standards and radical authenticity through the company's poetic values framework while discovering why the shadow you cast as a leader determines the energy of your entire team. We also dive into the future of work as Veronique explains how to invest in humans as much as technology by using AI to unleash time so employees can shift from being human doings to true human beings.
This episode redefines the role of the leader as a human prompt engineer who knows how to pull unique creativity and heart out of a workforce in an increasingly automated world.


Watch the full video on YouTube
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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: https://bit.ly/8exlaws

May 29, 2026: Costco's CEO Ron Vachris said it plainly this week: "I don't see AI making choices for Costco" — and with $440 billion in market cap and 17% stock gains this year, the companies doubling down on human judgment are quietly outperforming the ones cutting workers for AI. On today's episode, Jacob Morgan breaks down three stories that together reveal the gap between what companies say about AI and what they're actually doing: why Costco, IBM, and Delta are winning by betting on humans; why corporate America is getting the bill for "tokenmaxxing" — the practice of deploying AI everywhere without measuring whether it works — and what disciplined AI investment actually looks like; and what OpenAI's newly published Frontier Governance Framework, which formally maps its own risk categories including "loss of control," means for every business leader who needs an enterprise AI governance strategy before the regulations have teeth.

May 28, 2026: Anthropic releases Claude Opus 4.8, sharper reasoning, better agentic coding, and a fast mode that runs 2.5x faster at a third the cost, with Mythos-class models coming in weeks. A new EY-Parthenon survey of 1,200 CEOs shows 99% expect AI to reshape their workforce strategy but only 42% are doing anything about it and why the 57-point gap between awareness and action is the real story. And a deep look at grade inflation in American colleges: the average GPA is now above 3.5, yet 43% of students meet none of ACT's college readiness benchmarks, 12th-grade math and reading scores are at all-time lows, and recent college graduate unemployment sits at 5.7% with a job-finding rate now matching high school graduates. What's behind it, what it costs, and what it means for the future workforce.