A waterfall would never sound melodious if there weren’t rocks in its way. The very thing we love about waterfalls is created entirely by the obstacles we’d remove if we could. Most executives spend their careers trying to smooth the path. That’s exactly why their careers are silent — and why AI is the biggest rock the executive class has encountered in a generation.
In 1950, an F1 pit stop took 67 seconds. Today the world record is 1.80. The 96% reduction has almost nothing to do with making mechanics faster — and everything to do with redesigning the work itself. The same lesson saved thousands of children’s lives at Great Ormond Street Hospital. The same lesson explains why most AI transformations are failing right now.
EY Canada just published research showing the most successful AI training programs are also the ones causing the most employee turnover. Employees with fewer than 4 hours of AI training express 21% intent to quit. Employees with 81+ hours express 45%. The retention problem isn’t an AI problem. It’s a career architecture problem most enterprises haven’t updated since the 1990s. Here’s what’s actually going on — and what to do about it.
In 2021, a Tufts neuroscientist named Erik Hoel proposed that dreams exist to keep the brain from overfitting to everyday life — exactly the way dropout prevents overfitting in AI. The hypothesis explains why senior leaders, calibrated against decades of same-industry inputs, gradually lose the ability to lead through change. The fix — what I call “executive dropout” — is the most important leadership discipline of the next decade.
A clickbait Reel is going viral claiming Microsoft banned engineers from using AI because AI costs more than humans. Almost every part of that framing is wrong. The actual story — about token-based pricing creating a new enterprise cost class that finance teams aren’t prepared for — is harder, more important, and the most useful lesson available to any leader running an AI program in 2026.
70% of major transformations fail. Cloud, digital, platforms, agile, now AI. The technology changes. The failure rate doesn’t. Here’s what the 2025-2026 McKinsey and BCG data actually says — and what the 5% who succeed are doing differently.
Jeff Bezos almost destroyed Amazon — not with a bad bet, but with too many ideas. Here’s the release-rate lesson every leader running an AI transformation needs to hear.
There’s a short quote often shared in leadership circles: “It’s impossible,” said pride.“It’s risky,” said experience.“It’s pointless,” said reason.“Give it a try,” said the heart. While its exact origin is
Eric Ries was right. Steve Jobs was right. Elon Musk is doing something different from both of them. Most leaders don’t realize there are six kinds of MVP — each doing a fundamentally different job. Here’s the taxonomy.
In 2007, the iPhone shipped with no screenshot feature. The gesture you use every day exists because one journalist made the workaround more expensive than the fix. Your organization is full of the same workarounds — here’s how to find them.
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