About this episode

The episode discusses the transition from AI that predicts to AI that proves, emphasizing the need for explainable systems in critical decision-making.

It’s 2026. You’re the CEO of a global bank or the Head of Surgery at a major hospital. An AI system looks at a complex set of volatile market data, or a patient’s decade-long medical history, and gives you a directive. It doesn’t just give you a percentage of probability. It tells you exactly what to do. But here is the catch: If that decision fails, "the machine told me so" won’t hold up in court, in the boardroom, or at a patient’s bedside. For a few years now, we’ve played a game of ‘black box’ roulette, using AI that predicts the future based on the past. But in a world of sudden market shifts and unprecedented global change, the past is no longer a reliable map. We are entering the era of Automated Reasoning. This is the shift from AI that guesses to AI that proves. It’s a market for explainable systems that is set to hit nearly ten billion dollars this year, doubling by 2032. Because today, leaders don’t just need an answer; they need the logic behind it. They need a ‘glass box’ they can trust. Scott Wiltamuth, Director of Software Development for Agentic AI and Automated Reasoning at AWS, alongside Mary Martin, Managing Director and Senior Partner at BCG and Varun…

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