Study: Short-Term AI Use Reduces Persistence, Problem-Solving
An international research team reported that brief reliance on artificial intelligence can impair users' ability to solve problems independently after the tool is removed. Experiments showed participants who used AI for 10 minutes performed worse and gave up more often compared to those without assistance. The findings highlight potential long-term cognitive risks from frequent AI dependence.
zmescience.comIn experiments focused on mathematical reasoning and reading comprehension, participants who relied on AI for 10 minutes showed worse performance and higher rates of giving up when the tool was taken away, compared to peers who received no help.
The researchers described the results as indicating reduced persistence and impaired unassisted performance. They noted that short-term benefits from AI use could lead to cognitive costs if such effects accumulate over time. The team warned of a gradual erosion of human cognitive skills as AI use becomes more common in everyday tasks.
They emphasized that skills like fraction arithmetic and reading comprehension support higher-order abilities such as algebra and critical reasoning.
The study authors expressed concern that regular outsourcing of cognitive effort to AI could diminish the motivation and stamina needed for long-term learning. They suggested that small degradations might compound and become hard to reverse.
“The concern is about what cognitive scientists call ‘desirable difficulties’ - the productive struggle that builds skill over time. If AI routinely removes that struggle, people may get the right answer in the moment, but develop less robust independent capability," — Grace Liu, co-author from Carnegie Mellon University’s Machine Learning Department (@Jerusalem_Post). Grace Liu, a co-author from Carnegie Mellon University’s Machine Learning Department, stated that the issue involves the removal of productive struggles that build durable competence, rather than a direct reduction in intelligence. She added that the effect's scale and scope require further investigation and that AI tools should be designed and used carefully.”


