When AI handles reasoning, which mental skills weaken first?

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Excessive reliance on AI for reasoning is linked first to weaker critical thinking and independent judgement.

The material explains that when people routinely let AI perform tasks involving reasoning, analysis, or creativity, they may engage less with the mental processes that build those skills. Instead of evaluating information, questioning assumptions, or exploring alternative perspectives, some users accept AI outputs at face value. A study in Humanities and Social Sciences Communications found that excessive dependence on AI tools was associated with lower critical thinking levels among university students.
Critical thinking and questioning assumptions are the first skills highlighted as weakening
The core description is that habitual use of AI for reasoning can reduce participation in the mental work of evaluating information and questioning assumptions. This shift is framed as moving from active thinking to passive receipt of answers. In that context, critical thinking is the explicitly named capability that shows lower levels in relation to heavy AI reliance.
Independent analysis and decision-making confidence can follow in specialised work
The material also points to professionals in highly specialised fields, where constant reliance on automated recommendations may reduce confidence in independent judgement and decision-making. This is presented as a separate but related concern from the student-focused finding, indicating that weakening can extend beyond classroom reasoning into workplace judgement. It does not provide a strict timeline, but it does connect AI-handled reasoning with reduced independence in decision-making.
The “use it or lose it” framing ties skill decline to reduced mental exercise
A muscle analogy is used to describe how intelligence can weaken when mental skills are not exercised regularly, expressed as “use it or lose it.” The reasoning, analysis, and creativity tasks that AI handles are described as the very activities that users may stop practising. As those practices decrease, the material links the resulting passivity to diminished critical thinking behaviours like evaluating and challenging assumptions.
Creative and intuitive reasoning are portrayed as human strengths that AI struggles to fully replicate
While the main weakening signal is critical thinking, the material contrasts AI capabilities with human qualities in novel problem-solving. It notes that unresolved mathematical problems required intuitive reasoning, creative thinking, and the ability to challenge underlying assumptions, which are described as distinctly human. This supports the idea that when AI handles reasoning, the human skills most connected to questioning assumptions and creative-intuitive thinking are the ones most exposed to underuse.

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When AI handles reasoning, which mental skills weaken first?

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