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.

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 unemployment. We push back on the doom framing, make the case that some anxiety is actually healthy and necessary, and surface the single most powerful lever any leader can pull right now: the data point that makes workers 5.3 times more likely to feel secure. And we close with Business Insider's exclusive look inside a Microsoft internal memo revealing a sweeping overhaul of the company's HR organization — including specific structural changes to performance management, lateral moves, and compensation that signal where corporate HR is heading across the entire industry.

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 missing: experienced AI users have a 10% higher success rate than newcomers — not because of what they're doing, but because of how long they've been doing it. AI fluency compounds like a skill, not a software license. And a major Gallup survey finds college graduates are more pessimistic about finding a job than at any time since 2013, with software developer postings down 29% and marketing down 27% — but the real explanation goes deeper than AI displacement alone.

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 how to embrace adaptive leadership, which basically means leading even when you don't have all the answers. She explains why decreasing proximity is the secret to keeping trust alive during massive change by bringing employees closer to the "why" behind every decision. We get tactical as we uncover strategies for large-scale re-skilling, shifting from just tracking activity to rewarding real impact, and using talent redeployment to make sure people can grow their careers without leaving the company. Amy highlights why human judgment and empathy are more valuable than ever, how responsible AI is non-negotiable, and how Microsoft stays scrappy by letting "citizen developers" use AI to disrupt old systems from the bottom up. This episode is your guide to scaling a culture where employees feel like the company truly has their back as they reinvent their careers.

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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/

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

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 top of cash. I explain what tokens are, why elite engineers are leaving high-paying jobs over GPU access, and what it means that the unit of value in the AI economy is shifting from time to compute. The New York Times is calling it tokenmaxxing.

And JPMorgan deployed AI to monitor junior bankers' hours — not because they're over-reporting, but because they're deliberately hiding how much they're actually working.

Watch the full episode on YouTube

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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/

Stop patching problems and start designing an intentional workplace. The 8 Laws of Employee Experience gives you the how. Order a copy here: 8EXlaws.com

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 — Uber co-founder Travis Kalanick says humans will be "super fine" until AGI arrives, and Tech Mahindra CEO Mohit Joshi argues the demand for human labor isn't going anywhere, and has the data to back it up.

We close with JPMorgan Chase's 2026 tech trends report and the concept quietly reshaping what leaders actually do: context engineering.

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 Microsoft's chief scientist says the degree with the worst starting salaries may be the most future-ready credential in the age of AI. Sources: Fortune, Bloomberg, Fortune Eye on AI.

Watch full video on YouTube

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Looking for what actually moves the needle on performance and retention? It's in The 8 Laws of Employee Experience. Order here: 8EXlaws.com

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 it on purpose to let Wall Street price in $160 billion in market cap before a single cut is confirmed.