Anderson Cunha,
Sr Director Analyst, Gartner
Session Description
Cost reduction remains the most immediate and scrutinized AI value pathway. But not all savings are durable. In 2026, leading CIOs are moving beyond isolated use cases to structural cost mechanisms that survive CFO scrutiny.
Building on award-winning prior research, this updated session examines where cost reduction with AI is actually working across the enterprise in late 2026. We identify five mechanisms driving durable savings: work elimination, handoff compression, defect reduction, vendor renegotiation, and layer rationalization. We also analyze why many AI initiatives stall at “time saved” without P&L impact.
Drawing on cross-industry examples and financial disclosures, we present a framework for converting productivity into budgetable savings while avoiding run-cost volatility, technical debt accumulation, and governance gaps.
Takeaways
-Five proven cost-reduction mechanisms beyond productivity claims
-A practical “time-to-cash” conversion ladder
-Common failure modes that erode savings
-How to present AI-driven cost reduction credibly to CFOs and boards
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