A new study raises an important question for the future of productivity tools: can artificial intelligence make people less capable when used for simple everyday tasks? According to recent research, the answer may be yes. Participants who relied on AI for basic math and reading exercises performed worse once the technology was removed, even after only a short period of use.
The preprint study involved 1,200 participants who completed fraction-based math problems or reading comprehension tasks. Some users had access to AI during most of the exercises, while others solved everything on their own. While the AI-assisted group initially answered more questions correctly, their performance dropped once they had to continue without support. Many participants also skipped more questions or stopped trying sooner.
Researchers say this points to a deeper issue: reduced persistence. The process of struggling through a challenge is often how people build skill, memory, and confidence. When AI provides instant solutions, users may miss the learning process that strengthens independent thinking. Over time, this could reshape expectations, making normal problem-solving feel slower or harder than it actually is.
The findings align with earlier research from Massachusetts Institute of Technology, which described a growing “cognitive debt” linked to heavy AI reliance. For businesses, schools, and technology leaders, the message is clear: AI works best as an accelerator, not a replacement for thinking. The next generation of smart tools may need to act more like mentors, guiding users toward answers instead of simply delivering them.
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