Falling behind without AI? Over-reliance on AI actually accelerates cognitive atrophy

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More and more studies show that people who outsource their thinking to AI are quietly losing the ability to reason independently, distinguish facts, and engage in deep learning. (Context: UC study on "AI brain fog": 14% of office workers are driven crazy by Agents and automation, with a 40% higher intention to quit.) (Background: Sapiens author: AI is becoming a threat; it has hacked the operating system of human civilization! Like nuclear weapons.) The article asks a question in three paragraphs: If relying on AI makes you forget how to think, what do you have left? People who use AI will be eliminated by the era. This statement has become a new consensus in the tech circle in 2025 and 2026. However, a blog post quietly circulating in the community, citing a recent study by the American Psychological Association (APA), found that among subjects who completed work tasks with AI, 58% agreed that AI "replaced most of the thinking." This group simultaneously reported a decline in confidence in their own reasoning abilities, a loss of sense of ownership over their work, and the anxiety of being forced to choose between speed and depth. Migraine brain wrote in a personal blog post that the argument is not complex: those who over-rely on AI are the ones who will truly "fall behind." The list includes: thinking ability, writing ability, reliable information search methods, the ability to distinguish fact from fiction, and the most saddening item: the ability to learn itself. "What a beautiful thing it is just to learn stuff." This sentence acts like a conclusion and a eulogy. His argument directly asks: If you think ChatGPT does it better than you, why do you accept it? Why don't you try to learn to the point where AI can never replace you? This view is a minority voice in the 2026 AI mainstream narrative, but research supporting it is increasing. The University of Technology Sydney (UTS) has issued a warning about the risk of cognitive atrophy regarding unstructured AI usage on campus; a report in the winter issue of Training Industry also pointed out that AI assistance almost always improves immediate productivity, but frequently leads to a decline in users' long-term skill levels. "Cognitive atrophy" was originally used in neuroscience to describe functional degradation caused by long-term disuse of specific brain areas, usually seen in post-stroke rehabilitation or long-term bedridden patients. Now, researchers have begun to use it to describe a new type of degradation: the frequency of use of corresponding brain areas decreases because thinking tasks are continuously outsourced to machines. The signals from the corporate side are equally clear. An HFS Research survey shows that 46% of business leaders say the level of AI reliance has exceeded their comfort zone; 43% of employees report that AI-related self-doubt—"Am I still useful?" "What can I do without AI?"—has become a common workplace phenomenon. Of course, this is not to say that AI tools have no value. The problem lies in how they are used. If the role of AI is to "do it for you" rather than "assist you in doing it better," skill degradation is almost an inevitable byproduct, just as the popularity of calculators caused many to lose their mental arithmetic skills, only this time the cognitive level involved is broader and the impact is harder to reverse. The core contradiction of the migraine brain article becomes visible here: when "efficiency" becomes the sole evaluation criterion, the "value of the learning process itself" disappears from the equation. A person who can produce quickly and a person who truly understands what they are doing may produce outputs that look no different under AI assistance... until the AI is gone, or until the day when true innovation is needed. When that moment arrives, whoever still remembers how to think for themselves will not be left behind.

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Published:2026-04-30 01:49:44

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