AI Costs Leave Corporate Finance Chiefs Biting the Budget Bullet
Key Summary
Corporate finance executives are reassessing their AI spending due to rising costs, with many cutting back on AI budgets and adopting centralized budget management. Usage-based pricing is a major contributor to the increased costs, as companies struggle to forecast AI consumption, leading to a squeeze on AI adoption.
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Introduction
The use of Artificial Intelligence (AI) in corporate finance has been touted as a way to save money and improve efficiency. However, many finance executives are now finding that the costs of implementing and maintaining AI systems are higher than expected. #
The Problem of Pricing
One of the main issues is the shift to usage-based token pricing, which charges companies for how much the models actually process. This unpredictability shows up clearly in the data, with 83% of respondents in Pigment's Q3 2026 CFO Index saying that consumption-based AI costs came in above what they expected. #
Centralized Budget Management
To address the issue, finance teams are adopting centralized budget management, which means that individual departments have less freedom to sign up for tools on their own. This approach allows for more control over AI spending and ensures that budgets are managed more effectively. #
Stage-Gate Funding and Measurable ROI
Companies are also adopting stage-gate funding, which releases money in tranches only after a project hits defined milestones. This approach ensures that AI spending is tied to measurable return on investment, making it more justifiable to finance executives. #
The Future of AI Adoption
Despite the challenges, many finance leaders remain optimistic about the potential of AI to drive business value. In Pigment's index, 87% of finance leaders plan to increase AI budgets for the coming fiscal year, and 45% plan increases of more than 20%. However, the data also suggests that many companies are struggling to justify their AI spending, with 61% admitting that their current AI spending exceeds what they can justify by outcomes. #
Conclusion
The future of AI adoption in corporate finance is uncertain, but it is clear that the costs of implementing and maintaining AI systems are a major challenge. As companies continue to adopt centralized budget management and stage-gate funding, they will need to find ways to better forecast and manage AI consumption to ensure that the benefits of AI adoption are realized.