Closing the AI ROI Gap
Enterprise AI investment shows no sign of slowing. 87% of executives call it a strategic necessity, and 80% see it as a genuine driver of new revenue, not just cost-cutting. But conviction is running ahead of proof. A quarter of leaders say AI's ROI is falling short of expectations, and two-thirds say they can't reliably measure the return at all.
To understand this widening gap between AI ambition and AI evidence, Infosys surveyed more than 1,000 senior executives at large U.S. companies.
The AI ROI Gap: Turning Ambition Into Enterprise Value reveals where AI is actually delivering value today, why most organizations are measuring the wrong things, and what it takes to scale AI from isolated pilots into durable enterprise value.
Read the Report View the InfographicKEY FINDINGS
87% of organizations
call AI investment a strategic necessity for innovation, yet 25% say the ROI is already falling short of expectations.
72% of organizations
say less than a quarter of their AI pilots have scaled to full production and delivered their intended ROI.
67% of organizations
struggle to measure AI's ROI at all, and 46% have no centralized framework for tracking its value.
