Why the right measurements matter
Enterprise capital expenditure will exceed $2.5 trillion in 2026. Yet 95% of generative AI deployments show zero P&L impact. The technology works effectively and provides incredible capabilities. However, the scorecard does not reflect the true potential or effectiveness of these advances, leading to misconceptions about the viability of such innovations in real-world applications. It is crucial for stakeholders to understand both the advantages and the current limitations of the technology in order to make informed decisions moving forward.
Traditional ROI was designed for factory equipment and software licenses. It captures what you spent and what you saved. It cannot see what AI is actually doing to enterprise value.
ROAI Think Tank, Q1 Research Brief
The Sovereign AI Library
Rigorous, data-driven papers designed specifically for institutional investors and CFOs tracking net value from AI capital.
Report 01
Report 02
Report 03
The $2.5T Scorecard
Compounding Assets
Governance Cost
An audit of capital expenditure versus realized P&L impact across 400 enterprise deployments.
Why traditional software depreciation models fail to measure the compounding strategic value of custom models.
A mathematical framework for pricing compliance, liability, and governance risk into the total investment cost.
Secure the White Paper
Access our complete methodology, empirical datasets, and board-ready evaluation templates designed specifically for institutional investors.