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.
Before joining Gartner, Nate served as a General Manager and member of a multinational executive committee, with end-to-end accountability for business growth, profitability and strategy. His experience as an operating executive continues to shape his research, combining commercial, financial and operational perspectives with practical guidance for CIOs, CFOs and CEOs navigating AI-driven change.
Orange Business, European Practice Leader, Digital @ Scale Practice, 3 years
Advanced Computer Software, General Manager, 13 years
Microsoft, Senior Advisor, 4 years
Technology Financial Management
AI Strategy and Business Transformation
Doctoral Research, University of Oxford and University of Aberdeen (Theology and Philosophy), 2003–2007; Master of Theology, University of St Andrews; Certificate in Corporate Finance, Chartered Institute for Securities & Investment; Competitive Strategy, Kellogg School of Management; Business Foundations, Wharton School; Professional certifications across AWS, Google Cloud, Microsoft Azure and ITIL.
How do we create measurable business value from AI?
How should we prioritise AI investments across cost reduction, growth and competitive advantage?
How does AI change the economics of business?
How should AI reshape worforce strategy and operating models?
How does AI change competitive advantage?