Making the Economics of AI Work

 

The latest Deloitte/SEB CFO Survey reveals a striking disconnect: while AI is increasingly being adopted across finance functions, 67% of CFOs lack a dedicated framework for measuring returns on AI investments.

 

At the same time, the economics of AI are changing. Consumption-based pricing, growing token volumes, and new infrastructure options are challenging established approaches to technology budgeting, forecasting and investment decisions.

For finance and technology leaders, this raises a fundamental question:
How do we maintain control over the cost of AI while ensuring it delivers measurable business value?

Join Deloitte for a breakfast seminar exploring the two sides of AI economics:

• Control the numerator: Tokenomics, AI cost forecasting, FinOps and infrastructure economics, including APIs, neoclouds and AI Factory models.
• Grow the denominator: Measuring AI returns, establishing meaningful KPIs and connecting AI investments to business performance.

We will bring together findings from the latest Deloitte/SEB CFO Survey with practical perspectives on managing the economics of enterprise AI.