Executives measure AI ROI by business outcomes, not token costs, four leaders say
By
Thibault Spirlet
Summary
The article explores how four executives measure return on investment (ROI) for AI initiatives, revealing that none of them focus on AI tokens (the cost of processing data through models) as a primary metric. Instead, they prioritize business outcomes such as revenue growth, cost savings, customer satisfaction, and operational efficiency. The piece reflects a broader shift in enterprise AI strategy from technical metrics to tangible business value, as companies rethink their AI spending amid growing scrutiny of AI investments.
Source
bskyExecutives measure AI ROI by business outcomes, not token costs, four leaders saybusinessinsider.comKey quotes
· 3 pulledNone of the executives I spoke with started with AI tokens as their primary metric for measuring return on investment.
The focus is shifting from technical metrics to business outcomes that actually matter to the bottom line.
Companies are rethinking how they evaluate AI spending as pressure grows to demonstrate tangible value.
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