What Computers Can't Do: The Limits of Artificial Intelligence

The earliest and most philosophically rigorous critique of symbolic AI — written when the AI community was making promises remarkably similar to today's. Dreyfus draws on phenomenology (Heidegger, Merleau-Ponty) to argue that human expertise is fundamentally embodied and situational, not rule-based. The book was mocked at the time and vindicated by the first AI winter. With LLMs reopening the same questions about the nature and limits of machine intelligence, it is more relevant than ever. For product people navigating the current AI hype cycle, Dreyfus offers the intellectual tools to distinguish genuine capability from projected expectation.