An SBS Cantonese podcast episode published July 27, 2026 at 10:00am discusses testimony from a US neuroscientist that Gen Z scores lower than older cohorts on attention, memory, literacy and IQ. Guest experts argue that heavy reliance on AI tools in classrooms and short‑form media may be eroding deep reading and slow thinking.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
This segment captures a growing undercurrent in the AI debate that is easy to dismiss but hard to ignore. The worry is not that chatbots will suddenly turn evil, but that a generation raised on auto‑summaries, autocomplete essays and endless short‑form feeds will lose some of the cognitive habits needed to supervise powerful systems. The neuroscientist quoted by SBS points to declines in attention, working memory and reading comprehension relative to older cohorts, and explicitly links them to heavy reliance on AI for search, drafting and even basic thinking. ([sbs.com.au](https://www.sbs.com.au/language/chinese/zh-hant/podcast-episode/tech-world-zenz-dumber/2tt91s5qp))
For the AGI race, this is a sobering counterpoint to narratives about AI as a universal productivity enhancer. If our human operators become less capable of sustained reasoning and deep reading, the window in which we can safely keep humans in the loop on increasingly agentic systems narrows. That is not destiny; it is a design problem. But it suggests that education ministries and platform designers should treat cognitive resilience as a first‑class objective alongside test scores and engagement metrics if they want a citizenry that can meaningfully govern and collaborate with advanced AI.