Finding AI Value: From Promises to Measurable Outcomes

Executives are asking the same question in 2025: Where is the value AI was supposed to deliver?
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In this episode of ThinkCast, Gartner experts Mary Mesaglio and Rita Sallam outline how leaders can define, measure and maximize AI value across the enterprise. From productivity gains that don’t translate directly to financial returns, to high-stakes bets that could rewrite industry rules, they explain why leaders must manage AI investments as a balanced portfolio — spanning return on investment, return on employee and return on the future.

You'll learn:
• Why productivity leakage hampers measurable value
• How to structure AI investments across ROI, ROE and ROF
• The differences between Defend, Extend and Upend use cases
• Why AI-ready data, governance and business change are critical

Watch the full webinar on AI value: https://gtnr.it/48HCv8S
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Timestamps:
01:39 The Three Types of AI Value
03:00 Beyond Productivity: The Problem of Value Leakage
04:05 ROI, ROE and ROF: Managing AI Like a Portfolio
07:52 Defend, Extend, Upend
09:20 Measuring Value, Not Just Productivity
12:22 The True Cost of AI
18:41 Data, Change and the Human Factor
22:40 Turning Theory Into Impact

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