Educators are sounding the alarm over the rising use of artificial intelligence among students, suggesting that delegating academic tasks to algorithms could permanently stunt cognitive growth. A new analysis published in Psychology Today by education expert Timothy Cook warns that while adults use AI for efficiency, young people may be using it as a replacement for foundational learning.
Cook argues that the developmental impact depends heavily on a user’s existing knowledge base. Adults often use AI to streamline tasks they have already mastered, allowing them to audit the output for errors or oversimplifications. Conversely, children and teenagers frequently lack the prior experience necessary to evaluate or challenge the software's results.
“You cannot atrophy a muscle that you never developed,” Cook writes. He contends that many cognitive abilities simply fail to form when a student relies on AI to handle the heavy lifting of reasoning and writing from the start.
This gap in critical evaluation is supported by recent data. Research led by Michael Gerlich indicates that while individuals over 46 demonstrate high levels of independent critical thinking, the 17-to-25 age group shows a growing dependency on AI tools.
The cost of automated reasoning
Studies suggest that this reliance creates an illusion of competence. In a test involving software developers, those who relied entirely on AI produced functional code but performed significantly worse on subsequent conceptual assessments. Participants who used assistance saw their comprehension drop by 17% compared to their peers who worked independently.
“They could not debug what the AI had written for them. They got the result, but they didn’t understand it,” Cook explains.
Beyond technical skills, experts worry about the homogenization of thought. As large language models become primary tools for argumentation and composition, students are increasingly producing work that follows the same predictable patterns. This uniformity threatens to limit the development of unique perspectives and original reasoning.
Because a child’s cognitive framework is still under construction, constant exposure to AI models may cause their logic to be shaped by the system's inherent biases. Cook concludes that while AI offers undeniable efficiency, society must protect the educational spaces where students build foundational skills. Without these challenges, the next generation faces the risk of never fully developing the mental acuity required for complex problem-solving.