The AI Competency Paradox: Why AI Doesn't Replace Jobs, But Reshapes Organizational Competence
暫譯: AI 能力悖論：為什麼 AI 不會取代工作，但會重塑組織能力
Yadav, Prashant Singh
商品描述
This book explores how artificial intelligence disrupts the cognitive foundations of human expertise. It introduces the AI-Competency Ceiling and the Procedural Memory Paradox--concepts that explain how AI-assisted performance accelerates early skill acquisition while impeding mastery. Drawing from neuroscience, skill acquisition theory, and over 150 years of technological disruption, the book presents a revised Dreyfus model, and case studies from Netflix to Toyota demonstrating the core messages of the book. It offers strategic frameworks for preserving cognitive capital, including Strategic Workforce Management, Meta-Intelligence Development, and mechanisms for sustainable AI adoption. More than a guide to adaptation, it challenges readers to consider whether thinking remains fundamentally human when cognition is outsourced. An essential reading for executives, strategists, policymakers, and educators navigating the tension between operational excellence and cognitive resilience.
商品描述(中文翻譯)
本書探討人工智慧如何顛覆人類專業知識的認知基礎。它介紹了 AI-Competency Ceiling（人工智慧能力天花板）和 Procedural Memory Paradox（程序記憶悖論）這兩個概念，解釋了人工智慧輔助的表現如何加速早期技能的獲得，同時妨礙精通的過程。本書借鑒神經科學、技能獲得理論以及超過 150 年的技術顛覆，提出了修訂版的 Dreyfus 模型，並通過 Netflix 和 Toyota 的案例研究展示本書的核心信息。它提供了保護認知資本的戰略框架，包括戰略性人力資源管理、元智能發展以及可持續人工智慧採用的機制。這不僅是一本適應指南，更挑戰讀者思考當認知被外包時，思考是否仍然根本上是人類的特徵。
本書是高層主管、策略家、政策制定者和教育工作者在追求運營卓越與認知韌性之間的緊張關係中必讀的書籍。
作者簡介
Prashant Singh Yadav is a systems thinker and CTO partner with over 20 years of experience in enterprise transformation based from Cambridge, U.K. He develops original frameworks that bridge AI, cognition, and organizational design--focusing on knowledge coherence, decision logic, and resilient systems. His interdisciplinary work spans cognitive science, epistemology, and emerging technologies such as blockchain and quantum computing.
作者簡介(中文翻譯)
Prashant Singh Yadav 是一位系統思考者及首席技術官合作夥伴，擁有超過 20 年的企業轉型經驗，常駐於英國劍橋。他開發原創框架，將人工智慧 (AI)、認知與組織設計結合，專注於知識一致性、決策邏輯及韌性系統。他的跨學科工作涵蓋認知科學、認識論以及區塊鏈和量子計算等新興技術。
