AI After the Hype: Why Scaling Value Means Quitting More

AI hype hasn't disappeared, but patience has. In this episode of ThinkCast, recorded from the Gartner CIO Leadership Forum Opening Keynote, Gartner VP Analyst Tori Paulman breaks down why many AI initiatives stall after early wins — and what separates CIOs who move through the hype from those who fail to generate lasting value. Hear why organizations making real progress with AI aren't chasing the next breakthrough use case. Instead, they're changing how they decide what to stop, when to quit, where to double down, and how to lead through the Trough of Disillusionment. You'll learn: How CIOs who deliver value decide when to persist, pivot, or pull the plug What it really means to scale AI beyond pilots and proofs of concept Why "quitting better" is a leadership skill — not a failure How to move from AI hype toward an AI‑shaped organization Dig deeper: Download our guide to realizing AI value Attend a Gartner CIO Conference near you See why Gartner is the world authority on AI Try out AskGartner for more AI-powered insights

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AI After the Hype: Why Scaling Value Means Quitting More is an episode from Gartner ThinkCast by Gartner.

This episode is 25:20 long.

This episode was published on Apr 21, 2026.

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