( 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.
-
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…
-
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…
-
A Viral Reel Says Microsoft “Banned” AI
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…
-
Success in the Age of AI Isn’t a Technology Story.
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
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.
-
“It’s impossible,” said pride.“It’s risky,” said experience.
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 unclear, the message reflects a well-studied tension in psychology and decision-making: the conflict between logic, past experience, ego — and intuition. The Four Voices Behind…
-
There Are Six Kinds of MVP
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.
-
Why the Best AI Features Will Come From the Most Annoying Constraints
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.
-
Steve Jobs Would Have Hated Your MVP
Steve Jobs refused to show the embarrassing version. Eric Ries says you must. They’re both right — about different audiences. Here’s why most enterprise AI programs are getting MVP exactly wrong.
-
Screenshot on IPhone
Steve Jobs burned a summer of engineering time to keep an ugly internal tool out of a journalist’s view. Most leaders read this as perfectionism. It isn’t — it’s a lesson in protecting an idea from its own unfinished pieces.
-
You’ll Never Create Anything Original
“If you’re not prepared to be wrong, you’ll never come up with anything original.” This idea is widely associated with Ken Robinson, who argued that modern systems often educate people out of their creative capacity. It’s a bold claim — but research increasingly supports it. The Hidden Cost of Being “Right” From early education to…
