A new study raises a crucial question for the future of productivity tools: can artificial intelligence make people less capable in simple everyday tasks? Recent research suggests that the answer may be affirmative.
The study involved 1,200 participants who solved math problems based on fractions or reading comprehension exercises. Those who had access to AI initially answered more questions correctly, but their performance significantly declined after the technology was removed. Participants avoided more questions and gave up more quickly. Researchers emphasize that this indicates a deeper problem: a reduction in perseverance. The process of overcoming a challenge is essential for developing skills, memory, and self-confidence. When AI provides immediate solutions, users may miss the learning process that strengthens independent thinking. In the long run, this could change expectations, making normal problem-solving seem slower or more difficult than it actually is. The results align with previous research from MIT, which described a growing 'cognitive debt' related to excessive dependence on AI.
The message for businesses, schools, and technology leaders is clear: AI works best as an accelerator, not as a replacement for thinking. The next generation of smart tools may need to act more like mentors, guiding users toward answers instead of providing them directly.
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