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A guide describes six specific ways people can use AI tools like ChatGPT and Claude to strengthen expertise, learn new skills, and sharpen critical thinking rather than offloading mental effort to them. It responds to concerns that relying on chatbots for tasks like writing or analysis could weaken people's reasoning abilities over time.
Nature has released an audio long read discussing concerns that heavy reliance on large language models could weaken people's critical thinking abilities. The episode draws on research from education and cognitive science specialists who study how reasoning skills develop and can be maintained. It outlines practical strategies researchers suggest for staying cognitively sharp while using AI tools.
Nature's careers team hosted a 60-minute webinar last month examining whether graduate students' growing use of AI tools for literature searches, presentations, coding and paper summaries is weakening core doctoral skills. The session, moderated by science journalist Julie Gould, featured three panellists and a live audience Q&A, and a recording is now publicly available.
A short opinion piece contends that calling any group of people 'stupid' is itself a sign of not thinking carefully. The author argues intelligence is better understood as an action—thinking things through—rather than a fixed trait, and that jumping to conclusions, including the conclusion that others are stupid, is the real failure of reasoning.
Journalist James Marriott's book 'The New Dark Ages: The End of Reading and the Dawn of a Post-Literate Society' argues that reading built modern civilization, including science and democracy, and that its decline threatens rational thought. Marriott contends that even popular fiction engages readers with complex ideas in ways film, television and video games cannot replicate.
Education researcher Lixiang Yan of Tsinghua University found that an agentic AI tool called Codex could independently complete assignments, answer questions and join discussions without any student engagement. Surveys cited include one of over 1,000 US faculty members where 90% expect generative AI to weaken students' critical-thinking abilities, and a global survey of more than 8,000 higher-education students where about 20% said AI already makes it harder for them to work through problems unaided.
Nature's editorial board argues that as AI tools spread through classrooms and lecture halls, universities must not let chatbots replace the human teaching that instills excitement about thinking and learning. The piece cites an accompanying News Feature reviewing early-stage research on AI's effects on critical thinking, and references MIT's recent review of AI use by staff and students, which found temptation to misuse AI rose when students feared missing deadlines.
MIT researchers released a report on education finding that many students increasingly rely on AI chatbots to complete coursework, sometimes offloading thinking entirely rather than just seeking assistance. The study links this overreliance to declining critical thinking, weaker memory, reduced confidence, and diminished mastery of course material, with some students unable to engage in class discussions.
An enterprise data and AI executive argues that companies focused on AI's financial costs—compute, licensing, infrastructure—are ignoring a subtler expense: the erosion of employees' cognitive skills. Citing MIT Media Lab EEG research showing reduced brain activity in people who relied solely on ChatGPT versus those working unaided, the piece warns that unused mental faculties like judgment and original thought can atrophy.
An Entrepreneur contributor argues that as generative AI gives every company equal access to research, writing and design tools, marketing output is becoming indistinguishable across brands. To address this, they propose a discipline called 'Tasteology'—using accumulated human experience, cultural knowledge and critical judgment to decide what's actually worth publishing, framed through a model called HEJA (Human, Emotional Intelligence, Judgment, AI).
An Oxford University researcher who studies AI's effect on decision-making argues that generative AI tools should be treated as intellectual sparring partners rather than sources of ready-made answers. The piece cites data showing 94% of UK undergraduates use AI for assessed coursework and that over half of 2025 scientific papers show signs of LLM-generated text, up from roughly one in ten in 2023. The author contends fears about AI eroding critical thinking are misplaced, and that the real risk lies in passive use rather than active engagement with the technology.
A roundup drawing on input from industry experts outlines 16 workplace skills that are becoming more important as AI tools become more common in businesses. The list spans communication, critical thinking, leadership and adaptability, areas the experts say depend on human judgment that AI cannot replicate.