Why I’m sharing this. A careful 16-minute look at what current research is showing about AI’s effects on how humans think. The headline finding: people who use AI heavily to write essays show measurably lower brain engagement — and the effect persists even after the AI is removed. The piece walks through the studies honestly, including their limitations, and ends with the most important nuance: the tool is not the problem. The way we use it is.
What the research is showing
The piece anchors on a recent MIT Media Lab study led by Dr. Nataliya Kosmyna, in which 54 participants wrote essays under three conditions: using ChatGPT, using Google search, or using nothing but their own brains. EEG monitoring captured neural activity across 32 brain regions. The ChatGPT users showed the lowest brain engagement of the three groups, particularly in regions tied to memory, attention, and executive function. Eighty-three percent of them could not quote a single line from the essay they had just written minutes earlier.
The honest caveats are worth noting: the MIT study is a preprint still awaiting peer review, the sample is small, and replication is needed. But the directional signal is consistent with other research — including a Carnegie Mellon and Microsoft study of 319 knowledge workers that found the more confident a worker was in AI’s ability, the less critical thinking they applied. A separate Gerlich study of 666 participants found similar effects, with the strongest dependence in the youngest age group (17 to 25).
The persistence finding
The detail in the MIT research that should make everyone pause: when the AI was taken away and participants were asked to write using only their own brains, neural engagement did not bounce back to normal. The reduced engagement persisted even after the tool was removed. Cognitive offloading appears to have a half-life — the muscle does not snap back on the timeline most people would expect.
The hopeful part — the difference is in HOW you use it
The most important finding in the body of research is this: students who critically engage with AI — asking questions, editing its output, arguing with it, treating it like a tough peer rather than a vending machine — actually perform better and report less mental fatigue. The tool is not the problem. The interaction pattern is.
There is a real difference between asking AI to “write my essay on the French Revolution” and asking it to “attack my argument about the French Revolution, find the holes.” The first outsources the thinking. The second sharpens it. That distinction has become the most important question to ask any time AI is in front of you.
The children question
The piece spends meaningful time on a distinction that deserves wider attention. For adults who offload thinking to AI, the framing is “use it or lose it” — adults lose capacities they had already built. That is reversible-ish. For children, it is fundamentally different. A developing brain that offloads to AI may never build the reasoning pathways at all. You cannot atrophy a muscle you never grew.
The UK just announced it will ban children under 16 from social media, including a separate ban on certain AI chatbots for anyone under 18. Australia, Spain, Greece, Slovenia, and several U.S. states are moving in similar directions. The pattern is worth noticing: it took roughly a decade of documented harm before governments acted on social media. The research on AI cognition is following the same trajectory — but moving faster, because the impact is more direct.
What I’m taking from it
Two practical takeaways:
- For adults: Stay in the verification seat. Use AI to draft, to challenge your thinking, to expand your options — but do not let it replace the judgment work. The skill you outsource is the skill you lose, and the lag on getting it back appears to be longer than the lag on losing it.
- For parents and grandparents: The question for kids is not “should they use AI” but “how should they use it.” A child who never builds reasoning skills cannot grow into an adult who manages AI well. The verification layer requires having built the underlying judgment first.
Video by: Your AI Guy on YouTube. The studies discussed include the MIT Media Lab study led by Dr. Nataliya Kosmyna, the Carnegie Mellon / Microsoft study on knowledge workers, the Gerlich study of 666 participants, and a 2025 Harvard Business School / Boston Consulting Group study on cognitive offloading.
Editor’s verification note
The studies discussed in this video have been independently verified against primary sources. The MIT Media Lab “Your Brain on ChatGPT” study (Kosmyna et al., with Pattie Maes) is published as arXiv preprint 2506.08872. The Carnegie Mellon / Microsoft Research worker study (Lee 2025) is published by Microsoft Research. The Gerlich study on AI tools and cognitive offloading is peer-reviewed in MDPI’s Societies journal. The UK regulatory consultation on children, AI chatbots, and social media is announced on gov.uk.