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.