Why CEOs Are Getting AI Wrong — with Ethan Mollick

AI is fundamentally reshaping professional productivity and organizational structures, creating a "jagged frontier" where capabilities vary wildly across different tasks. While individual workers are leveraging tools like Claude, ChatGPT, and Gemini to achieve significant efficiency gains in coding and analysis, corporate adoption remains fragmented and often lacks strategic integration. Wharton professor Ethan Mollick emphasizes that the primary challenge lies in moving beyond simple cost-cutting through layoffs toward using AI to expand human capabilities and organizational output. Despite concerns regarding labor displacement and the existential risks of autonomous agents, the current landscape is defined by a rapid race for model dominance among a few key players. Ultimately, the long-term value of AI may depend on whether these technologies remain proprietary or become commoditized through open-weight models, potentially shifting the balance of power from tech giants to the broader public.