After a few recent posts on AI transformation, I’ve had a number of conversations with senior colleagues who all arrived at much the same conclusion.
The real constraint on AI adoption isn’t the technology.
It’s that most organisations no longer have a clear picture of how work actually gets done.
Beneath every documented process sits another operating model - one built on experience, judgement, workarounds and countless local decisions. Ask five people to map a critical workflow and you’ll often get five different answers. No one owns the complete picture because the knowledge is distributed across the organisation, and much of it has never been written down.
That has always been a weakness. Over the next 3-5 years, it becomes a strategic risk.
Two forces are now converging.
First, a retirement wave that will see many organisations lose their most experienced people. Decades of operational knowledge will walk out the door, often with no serious plan to capture, transfer or retain it.
Second, a growing tendency to deploy AI in ways that hollow out junior and mid-level roles. These are the very roles where future experts learn the business, absorb context, make mistakes, and develop judgement.
Those two trends reinforce each other.
Lose your veterans while eliminating the apprenticeship that creates their successors, and you’re not simply automating work. You’re dismantling the capability that sustains the organisation over time.
I’ve raised this theme in earlier posts, and the conversations since have only strengthened my conviction.
Too many AI programmes ask, “Can AI perform this task?”
The more important question is, “Do we understand this workflow well enough to capture it, improve it, teach it, and eventually automate it?”
The organisations that create lasting advantage won’t necessarily be those with access to the most powerful models.
They’ll be the ones that understand themselves well enough to preserve institutional knowledge, redesign how work is done, and deliberately build the next generation of expertise alongside AI.
AI is changing how work gets done. The organisations that win will be the ones that first understand the work they’re asking AI to transform.
I’m curious whether others are seeing the same pattern.
If this resonates with your experience, share your observations. And if you’ve got the scars from trying to modernise complex organisations, send me a message. I’d welcome the opportunity to compare notes, swap war stories, and learn from what others are seeing on the ground.
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