Infosys Report Highlights AI ROI Gap, Finding Value Primarily in Operations and Cost Savings

Infosys Report Highlights AI ROI Gap, Finding Value Primarily in Operations and Cost Savings​

Infosys released a new research report, "The AI ROI Gap: Turning Ambition Into Enterprise Value," revealing a growing disconnect between executive expectations for Artificial Intelligence (AI) and the realized return on investment (ROI) across organizations.

The research found that while companies are heavily investing in AI, many are struggling to demonstrate tangible returns. Infosys surveyed over 1,000 U.S. senior executives at large companies regarding the evaluation, scaling, and governance of AI initiatives.

The study indicates that the difficulty lies not in a lack of value generation, but often in focusing on the wrong metrics. While leaders frequently evaluate AI through a revenue-centric lens, the report suggests that the technology's most significant impact today is in improving operational efficiency, accelerating speed to market, and reducing costs.

Key findings from the report paint a nuanced picture of AI's current impact. While 80 percent of executives believe AI is a critical driver of new revenue opportunities, one in four executives reported that the ROI from their AI investments has fallen below expectations.

The core findings, focused on operational outcomes and measurement challenges, are detailed below:


The report established that AI is generating value, but predominantly through operational performance. The strongest measurable gains are currently appearing in cost savings and speed to market, rather than direct top-line revenue growth, suggesting AI is currently functioning as an internal performance accelerator.

Scaling and Governance Challenges​

Scaling remains a major barrier to realizing intended returns. Nearly three-quarters of respondents stated that less than 25 percent of their AI pilots have successfully scaled to enterprise-wide deployment while delivering the intended ROI. Unclear business cases and poorly defined ROI targets were cited by executives as the primary reasons for initiatives failing to progress beyond the experimentation stage.

Furthermore, the study highlighted that workforce behavior and corporate governance are becoming critical ROI factors. As AI adoption expands, organizations are increasingly concerned about security risks, unapproved AI usage, and employee overreliance on AI tools. The findings suggest that training, human oversight, and robust governance are as crucial to AI success as the technology itself.

To effectively close the AI ROI gap, organizations should, according to the report, focus on defining precise business outcomes before implementing new technology. Furthermore, companies must expand their measurement frameworks beyond revenue-based metrics and strengthen governance practices to align leadership, workforce behavior, and AI adoption.

INFY Stock Price Movement​

Today, Infosys Limited shares surged to close at ₹1144 after gaining 1.24% in post-market trading. The stock demonstrated solid intraday movement, having traded between a low of ₹1119.9 and reaching the day's high.