Experience the difference. Meet your peers, talk with experts, build your network, and turn insights into action.
Nate Suda
VP Analyst
Gartner
Speaker Topics
- Talent and Skills
- Strategic Planning and Execution
- Executive Leadership
- AI Strategy and Business Alignment
- AI Value and Cost Management
Speaker Bio
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.
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Sessions
Monday, 16 November, 2026 10:00 AM - 10:45 AM IST
Gartner Opening Keynote: Reaching Escape Velocity - Shaping an Effective Enterprise AI Economy
Nate Suda,
VP Analyst, Gartner
Neha Kumar,
Sr Director Analyst, Gartner
Hear Gartner’s unique "big picture" insights that will shape your perspective on your most critical priorities. Spark strategic discussions with your peers during the conference as well as with your colleagues throughout the year.
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Tuesday, 17 November, 2026 04:15 PM - 04:45 PM IST
What Does an AI Program Really Cost in 2026?
Nate Suda,
VP Analyst, Gartner
AI investment is now material, not experimental. Yet few enterprises clearly understand total AI program economics. Join us to explore the full cost stack of enterprise AI in 2026: infrastructure, licensing, integration, governance, talent, model operations and run-cost volatility. We examine how agentic systems affect cost predictability and how hidden integration overhead can exceed model expenses. Using aggregated budget data and deployment case analysis, we provide benchmarks for AI program scale and cost distribution. We also explore how shifting from variable labor to semi-fixed technology is changing operating leverage.
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Wednesday, 18 November, 2026 02:45 PM - 03:15 PM IST
How AI (Actually) Cuts Costs
Nate Suda,
VP Analyst, Gartner
Cost reduction is one of the most closely scrutised promises of AI. Yet Gartner research examining 1,010 non-technology companies in the S&P1200 found that just 4% reported AI-enabled cost reduction or related financial change material enough for company-level disclosure in the first half of 2026. In this session you will learn where AI is changing the economics of business and what executives must do to turn that opportunity into financial results.
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