Despite widespread adoption and surging corporate investment in artificial intelligence, many companies are struggling to measure a clear financial return. A 2026 Wharton study found that while 80% of enterprise leaders report positive AI returns, only 28% see a strongly positive ROI. Similarly, other 2026 surveys indicate that as few as 5% to 8% of enterprises can show a measurable, at-scale return on investment.
The primary challenge lies in moving beyond tracking simple efficiency gains, like hours saved, to quantifying impacts on growth metrics such as net-new revenue. Many organizations remain in the experimental phase, with only a fraction having fully embedded AI into their core processes. This gap between AI implementation and realizing tangible business value is a key focus for executives under pressure to justify the technology's high costs.