Here’s something neuroscientists have known for a few decades that still hasn’t quite made it into mainstream culture: your brain isn’t fixed.
Well into adulthood, your brain continues to form new neural connections, strengthen pathways you use repeatedly, and prune ones you don’t. This property — neuroplasticity — is the biological basis of learning, skill development, and cognitive resilience. It’s why someone can pick up a new language at 45, or recover motor function after a stroke, or rewire anxiety patterns through consistent practice.
And it’s exactly why how we use AI tools matters more than most people realize.
## What neuroplasticity actually means for learning
The classic version of neuroplasticity you’ve probably heard goes something like: “neurons that fire together, wire together.” Every time you engage with a concept, practice a skill, or retrieve a memory from scratch, the relevant neural circuits get slightly stronger. Repetition, struggle, and active retrieval are the engines of this process.
The flip side is equally true. Neural pathways you don’t use weaken. Skills you outsource don’t get reinforced. This isn’t a metaphor — it’s measurable. Cab drivers in London who stopped navigating the city showed measurable shrinkage in the hippocampal regions that had expanded when they were actively memorizing routes.
Now, enter AI.
## The double-edged tool
AI assistants are extraordinarily good at removing cognitive friction. You can draft an email in 30 seconds, summarize a 50-page report instantly, get a first draft of almost anything without the slow, effortful process of producing it yourself.
That’s genuinely useful. Cognitive friction isn’t inherently good — plenty of it is just wasted time. But some cognitive friction is exactly what builds competence.
When you struggle to recall a fact, your brain does more to consolidate that memory than when you’re just shown the answer. When you wrestle with how to structure an argument, you develop a transferable skill. When you push through the discomfort of not knowing something, you’re engaging the learning mechanisms that make knowledge stick.
The risk of reaching for AI as your first move — rather than a deliberate second move — is that you bypass precisely the cognitive work that neuroplasticity requires.
## Three ways to use AI that support neuroplasticity
Here’s the good news: used thoughtfully, AI tools can actually accelerate the kind of learning that supports neuroplastic change. The key is keeping your own cognition in the driver’s seat.
1. Use AI to challenge yourself, not just assist yourself.
Ask AI to quiz you on material you’re studying. Have it take the opposite position in an argument and force you to defend yours. Ask it to identify weak points in your reasoning. This is spaced practice and active retrieval — the gold standard for durable learning — with an infinitely patient, available-at-midnight tutor.
2. Generate first, then use AI to refine.
When writing, thinking through a problem, or planning something — do the first pass yourself. Then bring in AI to push back, suggest alternatives, or improve what you’ve made. This preserves the generative cognitive work (which is where the learning happens) while still getting the benefit of AI’s breadth.
3. Use AI to learn faster, not instead of learning.
There’s a difference between asking AI “what’s the answer to X?” and asking “explain how X works, and then test whether I understood it.” The second approach uses AI to accelerate the learning process rather than replace it. The brain still does the encoding work — it just moves faster because the explanation was clearer and the feedback was immediate.
## What to watch for
The honest answer is that the research on AI and cognitive development is still early. We don’t yet have longitudinal data on how heavy AI use affects working memory, recall, or the development of expertise over time. That uncertainty is a reason for thoughtfulness, not panic.
What cognitive science does tell us is fairly clear: skills you practice, you develop. Skills you outsource, you don’t. And the human brain — across a lifespan — is shaped by what you repeatedly ask it to do.
Using AI well, then, isn’t just a productivity question. It’s a cognitive health question. The people who will benefit most from AI in the long run aren’t those who use it most — they’re those who use it most intentionally, in ways that amplify their own thinking rather than replace it.
Your brain is the most sophisticated learning system on earth. AI, at its best, is a remarkable tool for that system.
Keep it in the passenger seat.
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Manish Singh is the founder of UnAI Labs, where he develops courses on AI literacy, neuroplasticity, and brain health. If you found this useful, explore the AI Literacy for Everyday People course or subscribe below for weekly insights.