Navigating the Paradox of AI Speed and Human Judgment in Strategic Decision-Making
The faster AI answers, the easier it is to stop thinking.
AI can now generate a 100-page strategy in seconds — and that is exactly the danger. In this article, Yerim Cho names the “speed paradox”: as AI’s output gets faster and more fluent, leaders quietly swap verification for confidence, building up what she calls cognitive debt. The polish of an answer starts to matter more than whether it’s actually right.
Drawing on recent research and three of her own consulting case studies — from a national AI-semiconductor roadmap to a healthcare-AI proposal — she argues the consultant’s job is shifting from generating answers to authorizing them. Her framework rests on three principles: skeptical acceptance, contextual insight, and ethical accountability. Because when an AI-driven strategy fails, the algorithm can’t be sued, fired, or held to account. A human can.
About the author — Yerim Cho
Yerim is an early-career strategy consultant at Key To Way (South Korea), specializing in deep-tech ecosystems with experience driving national quantum initiatives. She is passionate about enterprise AI transformation, designing scalable roadmaps that bridge complex technologies with real-world business growth.
The full paper works through the evidence on AI adoption and productivity, the risks of articulate hallucinations and “black swan” blind spots, and a practical framework for keeping human judgment in the loop.
Originally published in Cordence Young Professionals’ Network — The Insight Initiative — 2nd Edition.
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