Experts are raising concerns that increasing reliance on artificial intelligence tools may be affecting how people think and process information.
Large language models (LLMs), which power systems like ChatGPT, Google Gemini, and Claude AI, are now widely used for writing, research, and problem-solving. However, researchers warn that depending too heavily on these tools may weaken certain cognitive skills over time.
Research scientist Nataliya Kosmyna observed a noticeable change while reviewing internship applications. She found that many cover letters appeared overly polished and followed similar patterns, suggesting they were generated using AI tools.
At the same time, she noticed changes in student performance during classes at the Massachusetts Institute of Technology. According to her observations, some students appeared to retain information less effectively than in previous years.
These trends led her to explore whether increased reliance on AI tools might be affecting memory and learning. Researchers refer to this process as “cognitive offloading,” where people rely on external systems instead of their own mental effort.
Some studies suggest that frequent use of AI assistants may reduce brain activity linked to memory and critical thinking. In certain cases, researchers have reported noticeable drops in cognitive engagement during AI-assisted tasks.
However, this concern is not entirely new. Experts point out that each major technological shift has changed how humans process information. For example, the rise of search engines led to what researchers called the “Google effect,” where people became less likely to remember facts because they could easily look them up online.
Supporters of digital tools argue that outsourcing memory is not necessarily harmful. Instead, they say it allows the brain to focus on higher-level thinking and problem-solving.
Still, researchers caution that the growing dependence on AI may reshape how people learn, think, and retain information in the long term. The debate continues over whether these changes represent progress or a hidden cognitive cost.
