“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 […]
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.
This idea is famously attributed to Pablo Picasso: “Every child is an artist. The problem is how to remain an artist once we grow up.” It’s a simple statement —
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
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.
You’ve likely seen this quote often attributed to Albert Einstein: “Everyone is a genius. But if you judge a fish by its ability to climb a tree, it will live
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.
As AI rapidly improves at generating answers, optimizing processes, and predicting outcomes, one human capability is becoming more valuable—not less: Divergent thinking. Coined and studied extensively by J. P. Guilford,
In today’s AI-driven world, organizations are investing heavily in automation, analytics, and optimization. But one capability still determines who actually turns that investment into revenue: Divergent thinking. What Is Divergent
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