It’s tempting to offload your thinking to AI. Cognitive science shows why that’s a bad idea

· Source: ΑΙhub · Field: Science & Research — Social Sciences & Behavioral Studies, Artificial Intelligence & Machine Learning · Depth: Novice, medium

Summary

Misia Temler from the University of Sydney, writing for AIhub.org on May 8, 2026, argues against the uncritical offloading of thinking tasks to AI tools like ChatGPT, Claude, or Gemini. While acknowledging the societal benefit of external knowledge reliance, the article highlights research suggesting that excessive AI use can erode critical thinking, reduce overall cognitive ability, and lead to increased laziness and anxiety. The core issue lies in "how we use AI," distinguishing between offloading (ceding control) and scaffolding (enriching one's own thinking). The piece emphasizes the importance of maintaining control over what information is offloaded and why, advocating for active engagement with difficult cognitive tasks to preserve and expand mental capabilities.

Key takeaway

For professionals integrating AI into daily workflows, you should actively differentiate between offloading tasks and using AI for scaffolding. Prioritize performing complex cognitive tasks yourself to maintain and enhance your critical thinking skills, rather than defaulting to AI for convenience. Regularly reflect on how AI use impacts your mental engagement and ensure you are controlling the tools, not being controlled by them.

Key insights

Uncritical offloading of thinking to AI can degrade cognitive skills; scaffolding AI use is key.

Principles

Method

To balance AI use, engage in reflective practices: assess feelings after AI use, determine if cognition was replaced or scaffolded, and identify tasks to expand mental capabilities.

In practice

Topics

Best for: General Interest, AI Ethicist, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by ΑΙhub.