How AI Really Thinks — and Why It Hallucinates

In this episode of ThinkCast, we explore one of the most persistent — and evolving — challenges with AI: hallucinations. Gartner Chief of Research Chris Howard breaks down what hallucinations really are, why they happen and what they reveal about how machines think. From multiagent systems to physics-informed neural networks, discover how the next wave of AI innovation is moving beyond prediction and toward precision, all while relying on AI-ready data. You'll learn: Why hallucinations happen and what they say about how AI works How multiagent systems and PINNs are changing how machines reason When to use probabilistic neural networks vs. deterministic tools Why not every business problem needs AI How hallucinations might actually help reframe your thinking Dig deeper: Download Gartner's CIO Agenda for 2026 Try out AskGartner for more AI-powered insights See why Gartner is the world authority on AI

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How AI Really Thinks — and Why It Hallucinates is an episode from Gartner ThinkCast by Gartner.

This episode is 13:23 long.

This episode was published on Mar 24, 2026.

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