( Insights ) — Blog
Blog & insights.
Practical writing on SAFe implementation, AI-Native operating models, innovation culture, and the lessons from 21 years inside Fortune 500 transformations.
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What AI Transformation Actually Demands
The bar-tailed godwit literally eats its own organs to fuel a 13,000+ km nonstop flight across the Pacific Ocean. After landing, the organs regenerate. The bird is rebuilding its own organism for the journey. This is the most precise metaphor we have for what AI transformation actually demands of senior leaders — and why the…
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Charlie Munger’s Can Carry Into the Age of AI
Charlie Munger’s “iron prescription” — “whenever you think that some situation or some person is ruining your life, it’s actually you who are ruining your life” — is the single most useful psychological technology any executive can carry into the age of AI. He forged it while burying his nine-year-old son. That’s the part most…
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The Richest Mathematician in History
Jim Simons died as the richest mathematician in history. He made his fortune by hiring scientists and refusing to hire anyone from Wall Street. The Medallion Fund delivered ~39% net annual returns for thirty years — beating Buffett, Soros, Lynch, Cohen, and Dalio combined. The six principles that produced those returns are now the foundational…
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Jeff Bezos Decision Framework in the Age of AI.
Jeff Bezos’s two-way doors policy says it’s cheaper to try a reversible idea than to argue about it. It’s the framework behind AWS, behind the two-pizza team, and behind Amazon’s invention rate. In 2026, with AI collapsing the cost of experimentation, it’s also the single most important decision framework for any enterprise serious about AI…
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Gish Gallop
In 1994, anthropologist Eugenie Scott coined the term “Gish gallop” to describe a debate technique where a speaker overwhelms an opponent with so many false claims that no rebuttal is possible in the time available. The technique has now migrated from creationist debates into the default information environment of senior decision-making — and AI has…
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Sir Ken Robinson Asked the One AI Question Almost Nobody Is Asking
Sir Ken Robinson once joked from a stage about a future where a $1,000 laptop would be as smart as an adult human brain. He died in 2020. The Kurzweil curve he was citing turned out to be directionally right. And the question he was actually asking — “how’s that going to feel?” — is…
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Steve Wozniak Called the Macintosh a Failure
Steve Wozniak called the Macintosh a failure. He was right. The Apple III melted. The Lisa was priced out of reach. The original Macintosh nearly bankrupted the company and got Steve Jobs fired. The real history of Apple is a string of near-fatal failures — and it’s the most important lesson available to anyone leading…
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That’s Why Their Careers Are Silent
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…
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A Formula One Pit Stop Got 96% Faster in 75 Years
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…
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EY Canada Just Quantified the Single Most Painful Paradox in AI Transformation
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…
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A Tufts Neuroscientist Used Machine Learning to Solve a 100-Year Mystery
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…
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Career Advice for the AI Transformation.
Edward de Bono coined the term “lateral thinking” in 1967 and compressed the entire framework into one sentence: “You cannot dig a hole in a different place by digging the same hole deeper.” Most senior executives in 2026 are digging a deep hole in the wrong location — with all the wrong instincts, all the…
