AI isn’t the real threat to your brain. Your organisation is.
Everyone's suddenly worried about what AI is doing to our brains.
I've been observing what organisations are doing to them for years.
The research is finally catching up. MIT proved it. The World Economic Forum named it. But the conversation keeps circling back to AI as the culprit, as if the problem started when ChatGPT arrived.
It didn't.
AI has accelerated something that was already happening. Something most organisations have been building for decades. Until we talk honestly about that, we're treating the symptom while the underlying condition gets worse.
What the research actually shows
The WEF's 2026 report, The Human Advantage: Stronger Brains in the Age of AI, puts a number on something I've been arguing for years: that brain health is a business problem, not a wellness problem. The report claims that improving brain health could increase global GDP by up to $11.7 trillion. What interested me most was why.
Of the ten capabilities employers say matter most, the majority are deeply human: analytical thinking, resilience, creative thinking, empathy, active listening, curiosity, leadership, self-awareness, the ability to develop and retain talent. AI and big data literacy makes the list too. But what the WEF is clear about is that as AI rises, the human capabilities don't get displaced. They hold their ground alongside it. The report calls them "brain skills," and argues they'll determine whether organisations actually benefit from AI, or just move faster in the wrong direction. Those brain skills don't develop by accident. And right now, most organisations are running systems that actively work against them.
MIT's research backs this up from a different angle. Researchers tracked brain activity across groups writing essays with ChatGPT, a search engine, or no tools. The AI-first group showed the weakest neural connectivity, the least original thinking, and couldn't accurately recall what they'd written. The researchers called it "cognitive debt." But the detail that gets missed: when people did the deep thinking first and then used AI, their brain activity actually increased. The issue isn't AI. It's reaching for it before your brain has done the work.
Here's what neither study examines: what we were already doing to our brains long before AI arrived.
AI didn’t create cognitive debt. It exposed it
Think about what a typical senior leader's day actually looks like. Their calendar is filled before they arrive, back-to-back meetings scheduled by other people, for other people's purposes. The agenda is set in advance, the outcome predetermined, the thinking expected to happen in the room but rarely does because there's no space for it. Between meetings, a backlog of messages, each demanding a context switch, a micro-decision, a fragment of attention.
Beyond the calendar, the broader system adds to the problem. Reports formatted to a template that prioritises the appearance of progress over honest analysis. Decisions pushed up the hierarchy because the system isn't designed for people to trust their own judgement. Status updates skimmed for a yes or no. Nobody stopping to ask whether the right questions are even being asked.
What's interesting about brains is that they will always take the path that requires the least energy. It's not a character flaw, it's biology. And when you're working in a system that has already used up most of your mental energy before lunch, your brain finds shortcuts. It has to.
This is the hidden brain risk. Not just AI. Most modern organisations are structurally designed in ways that erode clear thinking.
Why AI makes this urgent, not new
By the time most people open an AI tool, the decision to use it isn't really a decision. Some are exhausted and their brain is taking the path of least resistance. Others are racing a deadline for a report that was requested but won't meaningfully inform anything, or filling a knowledge gap they've never had the space to properly address. AI steps in and fills the space. Not because people are lazy. Because the system doesn’t give them many other choices.
AI is already creating extraordinary productivity gains. But when we layer it over a system that was already undermining human thinking, and call it progress, we're not solving the problem. We're accelerating it.
“The AI revolution isn’t reducing the need for human thinking. It’s exposing how much organisations depend on it.”
Where organisations get this wrong
Most organisations know something is off. Burnout is on the radar. Engagement scores are tracked. Leaders talk about psychological safety and sustainable pace. The concern is genuine.
But the response tends to miss the mark. A wellbeing program. A mindfulness app. A policy about protecting focus time that nobody uses because the calendar fills up anyway, with meeting-free blocks booked over the moment something urgent appears, and something is always urgent when the system is running too hot.
These aren't bad ideas. But they sit beside the work. A programme that sits beside the work will always lose to the work itself.
The question that reframed everything
A few years back, I was working with a leadership team on their reporting process. Every month, executives received a 180-page report. They'd spend their meetings discussing what the report said, and only what the report said. Nobody was looking at the data in between. Nobody was asking the questions that weren't already framed for them.
The team was convinced the executives lacked the analytical capability. I pushed back.
I'd seen too many sharp people become passive in bad systems to accept that the problem was the people. So I posed the question: what if they're capable, but we've built something that makes them incapable? What if this entire reporting structure is designed to make executives think less, not more?
Silence. Then: "Yes. I think that's it."
We redesigned what information went to executives, when, and in what form. We clarified what decisions they actually needed to make. And we started building the analytical capability that the old system had been suppressing. Not because the capability wasn't there. Because the system had never asked for it.
That's the pattern I've seen in contact centres and service desks, in project teams and boardrooms, in organisations of 200 and organisations of 90,000. The problem is rarely the people. It's almost always the system.
Design for Thinking is the methodology that came out of work like that, built on the science of how people actually think, decide, and collaborate. The results, 90% strategic alignment, 8-point engagement increases, 20% efficiency gains, aren't because we added more. They're because we stopped designing against how human brains actually work.
What this means for leaders right now
The organisations that thrive in the AI era won't be the ones who adopt the most tools. They'll be the ones who ask whether their system is built for human thinking at all. And then do something about it.
Because if your people are burned out, checked out, or reaching for AI before they've thought for themselves, that's not a people problem. That's a design problem. And it's fixable.
Three questions worth sitting with:
Is your work designed for deep thinking, or just fast response? Not just protected time, but the right structure, the right information at the right moment, the right conditions for people to actually use their brains.
Are you building cognitive capability or consuming it? Every meeting, every report, every decision-making process either strengthens or depletes the brain skills your organisation depends on. Which direction is yours moving?
Are you layering AI over a broken system? If the foundation is already working against clear thinking, AI won't fix it. It will accelerate it.
Curious about Design for Thinking? Learn more here.
Ready to have a different kind of conversation about how your organisation works? Let's talk.
References:
WEF Report — The Human Advantage: Stronger Brains in the Age of AI https://www.weforum.org/publications/the-human-advantage-stronger-brains-in-the-age-of-ai/Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay
MIT Research — Your Brain on ChatGPT (MIT Media Lab) https://www.media.mit.edu/projects/your-brain-on-chatgpt/overview/