I grew up believing — because I was told — that the brain you were born with was essentially the brain you died with. Fixed. Wired once. The science agreed. Or so we thought.
Norman Doidge’s The Brain That Changes Itself dismantled that assumption page by page. Published in 2007, it documented the then-radical idea of neuroplasticity: the brain rewires itself in response to experience. Stroke patients regaining speech. Blind individuals learning to “see” through their tongues. A woman born with half a brain living a largely normal life. The brain, it turns out, is not hardware. It is more like software that constantly rewrites its own architecture.
I read it twice. Once as a technologist. Once as someone who spent years trying to change institutions — banks, teams, cultures — and failing in ways I didn’t fully understand until Doidge named them.
“Neurons that fire together, wire together.” What Doidge describes as biology is exactly what happens to organizations under pressure. They groove. They calcify. And they mistake calcification for competence.
The AI Connection Nobody Is Making
Here is the parallel that keeps me up at night: modern AI — specifically deep neural networks — is a direct architectural echo of Doidge’s plasticity thesis. Neural networks don’t have fixed answers. They update weights through experience. They strengthen pathways that prove useful and weaken those that don’t. Backpropagation is, in a very literal sense, computational neuroplasticity.
But Doidge’s deeper insight isn’t about how the brain learns. It’s about what prevents it from learning.
He describes competitive plasticity: when one pattern dominates long enough, it physically crowds out the space available for new patterns. The cortex reorganizes in favour of what it already knows. This isn’t laziness. This is survival. But in a world that changes faster than the brain expects, it becomes a trap.
Now replace “cortex” with “your executive team” and “competitive plasticity” with “institutional memory.” You have just diagnosed every failed AI transformation I have witnessed across banking and financial services in the last five years.
Three Things Leaders Get Wrong About Both Brains and AI
01.They treat resistance as attitude, not architecture. When a senior banker dismisses an AI recommendation, that’s not arrogance. That’s decades of cortical grooves protecting what worked before. You don’t overcome it with PowerPoint decks. You overcome it with deliberate, repeated, low-stakes exposure — the same rehabilitation protocol Doidge describes for stroke patients. Neuroplasticity requires patience and repetition, not persuasion.
02.They assume that knowing equals changing. Doidge’s patients didn’t rewire their brains by reading about neuroplasticity. They rewired them by doing the uncomfortable work of using pathways that weren’t grooved yet. AI adoption is identical. Awareness of AI is not transformation. Friction is not the enemy — it’s the mechanism.
03.They confuse the map for the territory. The old neuroscience mapped the brain as static because it measured it at rest. Old strategy maps organizations as rational because it measures them in boardrooms. Both are wrong for the same reason. The territory is always messier, more adaptive, and more alive than the map admits.
The Uncomfortable Conclusion
If the brain can rewire itself — even after catastrophic damage — then organisations can too. But Doidge is honest about the cost: it requires doing the thing badly, repeatedly, until new pathways form. It requires tolerating the discomfort of not-yet-competent. It requires someone willing to say: the old map is not wrong because we are stupid. It’s wrong because we grew it in a different territory.
As I watch banks and financial institutions wrestle with AI — not technically, but culturally — I keep returning to Doidge’s quiet radicalism. The brain’s greatest discovery about itself was that it was not finished. That no matter how deep the grooves, new paths remain possible.
That’s not just neuroscience. That’s the most important thing you can tell a leader in 2025.
Read this book. Not for the science — though the science is astonishing. Read it for what it reveals about why your organization moves the way it does. Why certain ideas spread and others don’t. Why the most experienced people in the room are sometimes the hardest to move.
What’s the competitive plasticity groove your team has that’s quietly blocking your next move? I’d genuinely like to know.
