Infosys Research: AI ROI Gap Exists Despite Increased Investments

Infosys's new report, 'The AI ROI Gap: Turning Ambition Into Enterprise Value,' reveals a disconnect between executive expectations for AI and realized returns. While 80% of executives see AI as critical for growth, one in four report AI ROI below expectations. The research, based on over 1,000 US senior executives, indicates AI's primary current value lies in operational efficiency, speed to market, and cost savings, rather than direct revenue growth. Many organizations struggle to measure AI success, with two-thirds finding it difficult to measure ROI and lacking centralized KPI frameworks. Scaling AI pilots remains a significant barrier, with most failing to reach enterprise-wide deployment due to unclear business cases and poorly defined ROI targets. Workforce behavior and governance are emerging as critical factors for AI success. The report advises organizations to define business outcomes first, expand measurement metrics beyond revenue, and strengthen governance to close the AI ROI gap.