A new study is raising fresh concerns about what happens to the human brain when it leans too heavily on AI, and the findings are striking for how quickly the damage begins.
In the study, titled AI Assistance Reduces Persistence and Hurts Independent Performance, researchers from MIT, the University of Oxford, Carnegie Mellon University and UCLA conducted a series of randomized controlled trials involving 1,222 participants across a variety of tasks, including math and reading comprehension.
They find that while AI helps make people perform better in the moment, it makes them significantly worse at solving problems on their own and more likely to simply give up when AI is no longer available. The findings also show the alarming speed at which the effect takes hold.
“Although AI assistance improves performance in the short-term, people perform significantly worse without AI and are more likely to give up. Notably, these effects emerge after only brief interactions with AI (∼10 minutes).”
The researchers believe the root cause is that AI conditions people to expect instant answers, robbing them of the experience of working through hard problems on their own.
“If sustained AI use erodes the motivation and persistence that drive long-term learning, these effects will accumulate over years, and by the time they are visible, they will be difficult to reverse.
This is analogous to the ‘boiling frog’ effect, where each incremental act feels costless, until the cumulative effect becomes overwhelming to address.”
The researchers are calling on AI developers to rethink how their products are built, shifting the focus from delivering instant, complete answers toward tools that encourage users to work through challenges themselves, the way a good teacher or mentor would.
“These results suggest the need for AI model development to prioritize scaffolding long-term competence alongside immediate task completion.”
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