In this episode of ThinkCast, we continue last week's discussion around AI value with a question many enterprise leaders still face: Why has increased productivity from GenAI initiatives not led to more value from AI overall?
Gartner Senior Director Analyst Nate Suda will walk through how productivity does not automatically equal value, and the often-misunderstood link between the two. From productivity leakage and task-level blindspots to bottlenecks, prioritization strategies and use case misfires, Suda delivers a clear framework for where to focus — and who to focus on — to get the most out of GenAI.
Tune in to discover:
This episode originally aired July 15, 2025.
What Do We Really Mean by Productivity?
Understanding Productivity Leakage
Productivity Does Not Equal Value
Four Dimensions of Productivity
Why GenAI Gains Vary Across Workers
The GenAI Productivity Matrix
Wrap-Up and Further Resources
Nate Suda | VP Analyst
Nate Suda is a VP Analyst who researches how AI changes the economics of business. His research focuses on AI Value & Economics, including how organisations create, measure and sustain business value from AI, how AI reshapes enterprise cost structures, and how AI changes competitive advantage. He advises CIOs, CFOs and CEOs on executive decisions related to AI investment, value realisation, pricing, workforce strategy, operating models and margin. His recent research includes AI value measurement, enterprise AI economics, agentic AI cost structures, competitive strategy and AI-shaped workforce transformation. Clients typically seek advice on how to create measurable business value from AI, prioritise AI investments across cost reduction, growth and competitive advantage, understand how agentic AI reshapes enterprise cost structures, pricing and margin, and communicate AI value to executive leadership and boards.
Hosted by: Karen Lockhart
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