Why Neurodiversity Is the Ultimate Game Changer in the Age of AI
Recently, I had the real pleasure of joining Valeriya Hjertenaes on the third episode of Diversity is the Game Changer.
Valeriya brings a bold, refreshing lens to disability and difference, often using language like “diffabilities” and “divabilities” to challenge the tired deficit narratives that still shape too much of public and professional life. Our conversation covered a lot of ground, but at its core was one idea I feel more strongly about every year:
You cannot separate innovation from neurodivergence.
At the very moment organisations are talking endlessly about creativity, agility, systems change and AI disruption, many are still using workplace structures that filter out the very people most likely to think beyond the standard script.
That contradiction is becoming impossible to ignore.
You can watch the full episode here: Podcast Episode 3 – Why We Need Neurodiversity
And explore the wider channel here: Diversity is the Game Changer
The problem was never our brains
For a long time, neurodivergent people have been told some version of the same story: you are the issue, and the goal is to make you fit the system better.
That story shaped my own early life too.
I was labelled young and, like many neurodivergent children, quickly given a sense that my struggles with traditional education meant something fundamental about my limits. But what I eventually realised was much simpler and much more important: I did not have a problem learning. I had a problem learning in the way the system expected me to learn.
That is not the same thing.
And it is worth sitting with that distinction, because it changes everything.
Much of the language around developmental conditions was built by people outside those experiences, looking in. Too often, the logic was basically this: I am the norm, you are the deviation, and the label exists to explain why you need to adapt. That deficit-led framing still runs deep in schools, workplaces and public discourse.
Words like disorder, deficit, broken and illness are not neutral. They shape expectations. They influence who gets believed, who gets underestimated, and who is quietly excluded before they have even had the chance to show what they can do.
We are entering a neuro-renaissance
For most of the modern working era, especially since the Industrial Revolution, society has largely rewarded people for being predictable, compliant and process-driven.
In other words, it rewarded people for being as machine-like as possible.
That worked well for systems built around standardisation. But it also meant that anyone who thought differently, processed differently, or solved problems differently was often treated as inefficient rather than valuable.
Now AI is changing the rules.
For the first time at scale, computers are outperforming humans in exactly the kinds of tasks organisations have historically overvalued: routine processing, pattern repetition, process execution, administrative consistency, and certain forms of structured analysis.
That creates a fascinating shift.
Because if machines are increasingly becoming the best “standard workers,” then the premium on being a standard worker starts to fall. What becomes more valuable instead is what machines cannot easily replicate: unusual synthesis, moral judgement, contextual thinking, original problem-solving, creative leaps, deep human insight, relentless curiosity and non-linear thinking.
In other words, the future belongs far more to the people who do not think like computers.
That is why I believe we are entering what I would call a neuro-renaissance.
The very minds that old systems marginalised may be exactly the minds this new era needs most.
AI makes neurodiversity more valuable, not less
There is a lazy fear floating around that AI will make human difference less relevant. I think the opposite is true.
AI raises the stakes on what kind of human thinking actually matters.
If a machine can already produce average output at speed, then average output is no longer enough. Organisations will increasingly need people who can:
challenge assumptions
spot what the system missed
combine ideas across disciplines
stay with hard problems for longer
notice patterns others ignore
think beyond the obvious use case
bring human values into technical decisions
Those capacities are not exclusive to neurodivergent people, of course. But many neurodivergent people have spent their whole lives developing exactly those forms of thinking because standard systems never fit neatly in the first place.
That is why I think neurodiversity is not just compatible with the future of work. It is central to it.
The recruitment problem is still the bottleneck
And yet, despite all this, we are still using hiring systems that reward sameness.
That is the real absurdity.
Organisations say they want innovation, but then use recruitment models built to identify the safest possible fit. They want fresh thinking, but keep filtering for the people most comfortable with conventional self-presentation, conventional communication and conventional problem-solving.
Standard psychometric testing is a perfect example. So are heavily scripted interviews, vague competency questions and paper-based filters that reward polish over potential. These systems do not neutrally identify talent. They often identify compatibility with one narrow professional norm.
That is one reason autistic unemployment remains so appallingly high. The question I keep returning to is this:
Is the problem the autism, or is it how society reacts to autism?
I think we know the answer.
At Divergent Thinking, this is why so much of my work focuses on bypassing or redesigning outdated systems. It is also why I care so much about helping people understand their own brains well enough to talk about their differences in practical, strengths-based ways.
Not because individuals should have to endlessly translate themselves for broken systems, but because until those systems change, self-understanding can still be a powerful form of leverage.
We need to stop confusing conformity with capability
One of the deepest problems in hiring and leadership is that many organisations still confuse conventional presentation with actual competence.
Someone who makes good eye contact, speaks fluently in a pressured interview and follows familiar patterns may be perceived as “ready.” Someone who is less conventional in tone, less linear in thought or more visibly different may be marked down before their real strengths are even understood.
That is a dangerous mistake in any era.
In the age of AI, it becomes even more costly.
Because if we continue screening out people who think differently, we are not just being unfair. We are stripping ourselves of the very perspectives that could help us adapt to complex change.
Big problems will not be solved by the same thinking that created them
This is the part of the conversation that felt most urgent to me.
We are facing large-scale, systemic challenges: climate breakdown, social fragmentation, institutional distrust, inequality, technological ethics, burnout, democratic erosion. These are not problems that will be solved by tighter conformity or more of the same thinking.
If the systems we built have brought us here, then simply optimising those same systems is not enough.
We need different ways of seeing.
Different ways of asking questions.
Different tolerances for complexity.
Different cognitive styles in the room.
Put bluntly: there is no serious path through our biggest global problems that does not involve cognitive diversity.
I do not say that as a slogan. I mean it literally.
If we want different outcomes, we need different minds shaping them.
The old “fix the person” model is becoming obsolete
One of the most important shifts I hope we make over the next decade is away from the idea that neurodivergent people need to be repaired into usefulness.
That model was always harmful. It is also increasingly impractical.
The more the world changes, the more obvious it becomes that usefulness does not live only in conformity. Some of the traits that made people seem awkward or difficult under old systems may be exactly what makes them valuable under new conditions.
That does not mean neurodivergence is always easy. It is not.
It does not mean everyone’s differences are automatically an asset in every context. They are not.
And it does not mean we should romanticise struggle.
But it does mean we need to grow up as a culture.
We need to stop treating difference as either tragedy or superpower.
We need to stop flattening people into stereotype.
And we need to build systems capable of recognising more than one type of intelligence.
Final thought
What stayed with me most from my conversation with Valeriya was how much of this comes back to one central truth:
The problem was never that neurodivergent people existed. The problem was that our systems were too narrow to know what to do with us.
That is now changing.
AI is forcing a deeper reckoning with what kinds of thinking are actually valuable. It is exposing the limitations of old workforce models. And it is creating a new urgency around originality, adaptability and human difference.
That is why I believe neurodiversity is not a side conversation in the age of AI.
It is one of the most important conversations of all.
If organisations want the future, they need to stop filtering out the minds most capable of building it.
For more about our work, visit the Divergent Thinking blog or explore Divergent Thinking.
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