WorkSeptember 8, 2026via SAP News
AI’s Finance Challenge: Managing Token Spend Without Slowing Innovation
Why it matters
As AI token usage becomes a material cost center, enterprises are struggling to meter, budget, and justify token consumption against business outcomes. This is reshaping how finance, ops, and engineering collaborate on AI deployment decisions.
Key signals
- AI token spend emerging as new enterprise resource allocation challenge
- Finance teams must forecast, allocate, and optimize token spend
- Tension between cost control and innovation velocity
- ROI measurement for token consumption still undefined at most enterprises
- Token spend emerging as new enterprise resource requiring finance governance
- Finance teams must forecast, allocate, and optimize token consumption
- Published by SAP (enterprise software perspective on AI operational costs)
- Framing: token spend as analogous to compute/infrastructure resource management
The hook
Finance teams are now forecasting AI token spend like they do cloud compute—but the ROI math is still broken.
AI token spend is emerging as a new enterprise resource—one that finance must learn to forecast, allocate, and optimize against the value it delivers.