Your Company Was Already Too Big. AI Didn't Create the Problem, It Just Ended the Lie.
Future Ready Leadership With Jacob Morgan
Release Date: 04/03/2026
Future Ready Leadership With Jacob Morgan
April 2, 2026: A landmark MIT study out today challenges the AI job apocalypse — and the data lands somewhere more optimistic than the headlines suggest. Then: the "AI washing" debate exposes a harder truth — with Gallup data showing only 21% of employees are engaged globally and $438 billion in annual productivity losses, most large companies were already carrying 10 to 20% more workforce than they needed long before AI arrived. The Wall Street Journal profiles the real people filling 640,000 new AI-created jobs — from a 25-year-old Head of Human AI Solutions to a pathologist earning...
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The first quarter of 2026 was not just a collection of headlines. It was a definitive "hard reset" for the global workforce, marking the moment where the gap between legacy systems and the new AI-driven reality finally collapsed. In this episode of Future Ready Leadership, we’re revisiting the top stories that made it to our Best of the First Quarter edition. We start with the trillion-dollar software sell-off, where the market's reaction to AI-driven workflows signaled a massive shift from humans performing manual tasks to supervising automated systems. This move toward radical...
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March 27, 2026: Anthropic accidentally leaked Claude Mythos — its most powerful model ever — and the implications for cybersecurity and enterprise AI go far beyond a product announcement. America's top HR leaders gathered at the WSJ CPO Summit and delivered a blunt message: most companies are building AI agents completely wrong, and IBM learned that the hard way. JPMorgan has made AI adoption a formal, trackable performance requirement for 65,000 engineers — and it's a preview of what's coming to every large organization. And a new KPMG survey finds Gen Z wants the C-suite and a 5...
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March 26, 2026: A California jury found Meta and YouTube liable for deliberately addictive platform design — and the legal framework they used is headed straight for enterprise AI. Salesforce freezes base salary raises for directors and above, shifting to equity as Big Tech quietly rewrites its compensation playbook. Indeed's Hiring Lab data shows 95% of job postings still don't mention AI — and why that number is a warning, not a comfort. And Meta's president drops a number that reframes the entire AI workforce conversation: half a million electricians needed, and we're nowhere close.
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March 25, 2026: Fortune reports that the job market has gotten so broken that people are paying $1,500 a month just to have someone apply to jobs on their behalf — and on average it takes 863 applications to land a single offer. We break down the AI doom loop that created this dysfunction, what it means for how companies hire, and what job seekers need to hear that nobody is telling them. Then ADP Research drops one of the largest workforce surveys ever conducted — 39,000 workers across 36 countries — and finds that only 22% of people feel their jobs are safe despite historically low...
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March 24, 2026: Three major research reports dropped today with a combined picture of where AI and work actually stand right now. A landmark NBER working paper of nearly 750 CFOs finds AI had zero measurable employment effect in 2025 — but projects roughly 500,000 job losses this year, concentrated in clerical and administrative roles. The same paper finds a productivity paradox: executives believe AI is working before the revenue proves it, echoing a pattern economists last saw with the personal computer. Anthropic's new Economic Index reveals something most organizations are completely...
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The real bottleneck to AI isn’t the code; it’s our own ego. We’re so hooked on being the "expert" that we’ve forgotten how to be beginners again, and in a world changing this fast, that’s a dangerous place to be. If we want to move forward, we must trade the safety of our legacy habits for the “productive discomfort” of constant unlearning. In this episode, Microsoft’s Executive Vice President and Chief People Officer, Amy Coleman, joins us to talk about managing 220,000 employees through a growth mindset and explore the deep link between AI, culture, and leadership. Amy shares...
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March 20, 2026: The White House dropped its national AI legislative framework today — I go through the whole thing, because there's a provision about preempting state AI laws that is one of the most consequential things to happen in AI policy in years. A columnist at The Sunday Times made an argument that stopped me: the real AI risk isn't losing your job — it's what happens to your retirement if AI disrupts your career at 50 instead of 30. Most people aren't thinking about it this way. They should be. Jensen Huang proposed paying engineers in AI tokens worth half their salary, on...
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March 19, 2026: Jensen Huang had one of the biggest weeks in tech at Nvidia's GTC — but his sharpest line wasn't about chips. When asked why companies are laying off workers, he said simply: because they're out of imagination. We unpack what that means, plus his surprise take on compensation from the All-In podcast. Then Cognizant drops a bombshell update to its 2023 workforce study: 93% of jobs impacted by AI, $4.5 trillion in labor shifting to machines, six years ahead of schedule. Their own words: "We underestimated the technology." But two CEOs are pushing back on the doom narrative...
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March 18, 2026: Two-thirds of CEOs are freezing hiring while betting billions on AI — and a gender economist argues they're cutting the very people needed to make those bets pay off. A 7,000-word Substack essay imagined a "Ghost GDP" collapse by 2028, moved the Dow 800 points, and sparked a Wall Street war between Citrini Research and Citadel Securities over whether AI job fears are real or overblown. Management consulting was supposed to be dead by now — Capgemini's strategy chief explains why it's not, and why the shift to outcome-based billing may be the more disruptive story. And...
info_outlineApril 2, 2026: A landmark MIT study out today challenges the AI job apocalypse — and the data lands somewhere more optimistic than the headlines suggest. Then: the "AI washing" debate exposes a harder truth — with Gallup data showing only 21% of employees are engaged globally and $438 billion in annual productivity losses, most large companies were already carrying 10 to 20% more workforce than they needed long before AI arrived. The Wall Street Journal profiles the real people filling 640,000 new AI-created jobs — from a 25-year-old Head of Human AI Solutions to a pathologist earning $75K on the side training medical AI. And CHRO pay at S&P 500 companies just surged 30% — what boards are really pricing in when they write those checks.