Relying On AI Can Weaken Your Critical Thinking

How does frequent AI usage impact our critical thinking skills? A polished answer in three seconds feels like magic until you realise it might be dulling the very skills that keep you sharp. Google Notebook LM agents are used to dive into new research from SBS Swiss Business School that links frequent AI use to a measurable drop in critical thinking and unpack the mechanism driving it: cognitive offloading that skips the friction where learning happens. The twist that surprised us both is who is most at risk and why authority bias makes smooth interfaces look like truth.At A Glance / TLDR:key findings from a 666-participant SBS Swiss Business School studyhow cognitive offloading moves from storage to judgmentwhy authority bias and polish increase AI trustwhy younger digital natives are more vulnerable than older cohortseducation as a protective buffer measured by the Halpern assessmentproductive friction for AI UI design and human-in-the-loop normsassessment redesign that grades thinking process, not just productpractical habits to keep the judgment phase with the humanWe walk through the study’s methods and findings in plain language, from ANOVA-backed evidence to interviews that map how users hand over the “mental driving.” Younger digital natives show higher AI trust and dependence, while older cohorts carry a built-in scepticism forged in clunky tech eras. Then comes the good news: education functions as a cognitive shield. Using the Halpern Critical Thinking Assessment as a lens, we explore how training in reasoning, hypothesis testing, and probabilistic thinking lets people treat AI as raw material rather than an oracle.From there, we get practical. For technologists, we argue for productive friction: interfaces that surface contradictions, show uncertainty, and prompt verification. For policymakers, we outline human-in-the-loop requirements where it matters and better guardrails for developmental settings. For educators, we propose assessment redesign that grades the thinking process—version histories, prompt audits, oral defences—so students learn to critique AI rather than copy it. Finally, we share daily habits to keep your edge: treat the model like a fast intern, verify sources, ask for counterarguments, and never surrender the judgment phase.If you care about staying sharp in an AI-saturated world, this conversation offers evidence, frameworks, and tools you can use today. Subscribe, share with a colleague who leans on AI, and leave a review telling us your rule for when to trust the machine.Support the showIf you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect.  🌎 Website: www.KieranGilmurray.com📅 Book a call: https://calendly.com/kierangilmurray/catch-up📘 Kieran Gilmurray | LinkedIn🌐 Substack: https://kierangilmurray.substack.com📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK AI Transparency Notice:  This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified.