CFOs and the new economics of AI

Summary

AI spending has moved from experimental pilots into a recurring operating expense, reaching $1.5 trillion globally in 2025, while only 39% of organizations in a cited McKinsey study could trace AI investment to enterprise-level EBIT impact. The launch introduces the Cursor CFO Council, a quarterly forum for finance leaders that will develop shared frameworks for AI productivity, returns on intelligence, model allocation, and cost management. Analyses using Cursor data found higher token usage associated with higher median year-over-year revenue growth, while usage rose after model improvements, especially for high-complexity work. Yet adoption and benefits are concentrated: p99 developers produced 46x more AI-assisted lines per day than median active users, and agent-request costs varied nearly ninefold across model families. With usage-based pricing making intelligence a less predictable variable cost, the council will meet beginning in August to advance measurable and efficient AI economics.

Takeaways

1. 1

   A BCG analysis using Cursor data found 16.5% median year-over-year revenue growth among companies in the highest token-usage quintile, versus 5.1% in the lowest quintile.

2. 2

   P99 developers produced 46x more AI-assisted lines per day than median active users and merged 15x more pull requests per week than median active pull request authors.

3. 3

   Cost per agent request varied nearly ninefold across model families, while cost per accepted line varied roughly sevenfold, supporting access to multiple models and providers.