8 Lessons From Uber's CTO on How to Move from "AI Enforcement" to "AI Normalization”
Future Ready Leadership With Jacob Morgan
Release Date: 02/11/2026
Future Ready Leadership With Jacob Morgan
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...
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March 17, 2026: Five major AI models shipped in a single week in February. Your company's training budget grew 5%. Cathie Wood told Bloomberg this morning that AI is already pushing productivity above trend and projects it hits 6% annually — Goldman Sachs says there's no macro evidence of it yet. Both can be right, and today we explain why. Plus: FedEx's blueprint for an AI agent workforce across 50% of its operations, the real argument against traditional corporate training programs, and the full financial math on Meta's reported 15,000-person layoff — including whether the company leaked...
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Many managers today spend more time on paperwork and individual tasks than actually coaching their teams. This lack of true leadership hurts the employee experience and stops a business strategy from succeeding. In this episode, Emily Field and I talk about her strategic transition from a McKinsey partner to becoming a first-time Chief People Officer at LPL Financial. She shares her initial 30-day "learning tour" where she focused on listening to employees to understand the company's unique culture before building her people strategy. We also unpacked her "People Leader Operating System" and a...
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March 13, 2026: Most companies are cutting headcount to fund AI — but do they actually know what AI costs? When agentic AI runs autonomously overnight, the compute bill can hit $120,000 to $270,000 a year. Add hidden infrastructure costs running 200 to 400 percent above vendor quotes, plus the human oversight that never goes away, and the "AI is cheaper than people" math falls apart fast. Meanwhile Elon Musk is going the other direction — Tesla is increasing headcount while Atlassian and Block are cutting thousands, betting that output per human will get "nutty high." And an AI agent...
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March 12, 2026: Companies are failing to communicate the real promise and potential of AI to their people. Sam Altman stood in front of BlackRock and admitted nobody knows what to do about the labor-capital shift AI is creating. At Morgan Stanley's TMT Conference, the dominant investor question was what AI means for the next generation of workers — and the anxiety in that room is trickling down into every organization. Axios published data showing white-collar job cuts have been compounding for three years, giving employees every reason to be pessimistic. Gen Z is bringing parents to job...
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March 11, 2026: Amazon corporate workers say the company's AI push is creating more work, not less — with surveillance dashboards tracking every click and promotion criteria now tied to AI adoption. Oracle's Larry Ellison became one of the first Fortune 500 CEOs to explicitly confirm on an earnings call that AI tools are reducing his headcount — while the company carries $100 billion in debt and negative free cash flow. A new UBS report finds 63% of U.S. entrepreneurs are planning to exit their businesses in the next five years, an exit wave nobody is connecting to AI-driven workforce...
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March 10, 2026: AI is generating real, measurable productivity gains at major companies. Workers aren't seeing any of it. A new survey of 100 major CEOs finds only 9% plan to cut jobs because of AI this year — but buried inside that optimistic headline is an admission about ROI that changes the entire picture. China just launched the most ambitious society-wide AI employment push in history, betting that the technology creates more jobs than it destroys with 300 million retirements on the horizon. Fortune has the one metric CEOs are now using to quietly recalculate how many humans they...
info_outlineLeaders 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.
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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: 8EXlaws.com