AI Optimises for the Wrong Kind of Thinking

The provided source, an article by Greg Twemlow titled "AI Optimises for the Wrong Kind of Thinking While Trillions Are Wasted," presents a strong critique of the current architecture of Artificial Intelligence. Twemlow argues that the massive investment in AI is a "monumental miscalculation" because the technology is designed to turbocharge synchronous thinking—linear, sequential, and focused on speed and completion. He contends that this design fundamentally clashes with natural asynchronous human cognition, which is radial, recursive, and relies on pauses and reflection to generate true insight and solve complex problems. The author believes this architectural mismatch explains the current low return on investment and stalled adoption of AI in enterprises, warning that this design flaw is so severe it necessitates a complete redesign of AI systems to support, rather than suppress, deep human thought processes. Twemlow suggests that failure to recognise this cognitive suppression could lead to a catastrophic outcome, urging a shift in focus from mere speed and output to depth and reflection. Read the article.About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).