Episode 14 (S2) - Harvard Business Review Looks at True AI Use

 Episode 14 - (S2) - Harvard Business Review - Jan/Feb 2026

https://open.spotify.com/episode/6yD5pe8Cz6HnbY91OQt8qD?si=VcUGVAPJQ6CUyA6U8dBOtw

This is the continuation of the AI generated podcast series,"AI Governance, Quantum Uncertainty and Data Privacy Frontiers". Thisepisode was created from an article in Harvard Business Review in theirJanuary/February 2026 edition, written by: by Cyril Bouquet, Christopher J.Wright and Julian Nolan. This episode look at the ambitious AI goals and plansof Fortune 1000 organizations such as GM and Apple, and examines the actual useof AI by those organizations to determine if they are following their intendedplans.

The provided text explores why many artificialintelligence initiatives fail despite heavy investment, attributing thesestruggles to a lack of harmony between ambitious goals and organizationalcapabilities. By contrasting the experiences of companies like GeneralMotors and Apple, the authors illustrate that success depends on a firm's controlover its value chain and the breadth of its technology stack. Toaddress these challenges, the article introduces a strategic framework consistingof four distinct approaches: focused differentiation, vertical integration,collaborative ecosystems, and platform leadership. The narrative emphasizes thathuman engagement and systemic alignment are more critical to scalinginnovation than the complexity of the algorithms themselves. Ultimately, thesources suggest that AI should be viewed as a tool to realize strategy ratherthan a standalone objective.