Infosys Limited released a new research report highlighting a significant disconnect between executive expectations for artificial intelligence and the actual returns organizations are realizing. The study, titled The AI ROI Gap: Turning Ambition Into Enterprise Value, surveyed over 1,000 senior U.S. executives at large companies.

While 80 percent of respondents view AI as critical for new revenue opportunities, one in four reported that ROI from AI investments has fallen short of expectations. The findings suggest that while leaders often evaluate AI through a revenue lens, the technology’s strongest measurable impact currently lies in accelerating speed to market and improving operational efficiency rather than driving top-line growth.

Key Findings on AI Value and Measurement

The report identified several structural challenges in how enterprises evaluate and scale AI initiatives. Three-quarters of respondents stated that AI’s overall value to their organization has been net positive. However, the data reveals a divergence in where value is being captured versus where it is being sought.

Two-thirds of executives indicated their organizations struggle to measure AI ROI effectively. Nearly half lack a centralized key performance indicator framework, and only a quarter formally track speed to market, despite it being one of AI’s strongest areas of impact. This suggests many companies may be undercounting the value AI is already creating by relying too heavily on revenue-based metrics.

Scaling and Governance Barriers

Scaling remains a primary barrier to realizing returns. Nearly three-quarters of respondents noted that fewer than 25 percent of AI pilots have successfully scaled to enterprise-wide deployment while delivering their intended ROI. Executives cited unclear business cases and poorly defined ROI targets as the primary reasons initiatives fail to progress beyond experimentation.

Workforce behavior and governance are emerging as critical factors. As adoption expands, concerns regarding employee overreliance on AI tools, unapproved usage, and security risks are rising. The findings suggest that governance, training, and human oversight are becoming as important to AI success as the technology itself.

What the Numbers Show

The data indicates a measurement mismatch: while 75% of respondents see net positive value from AI, 25% report ROI below expectations. This divergence suggests that companies lacking centralized KPI frameworks (nearly half of respondents) may be failing to capture non-revenue benefits such as cost savings and speed to market, leading to perceived underperformance despite operational gains.

Infosys Limited appointed Mitrankur Majumdar as Segment Head for Services, Utilities, Resources and Energy (SURE) on August 24, 2026. The Board approved the appointment based on recommendations from the Nomination and Remuneration Committee.

Majumdar joins the senior management team with immediate effect. This leadership change facilitates the transition of current SURE head Ashiss Kumar Dash, who will focus on external training and activities as the company’s CEO designate.

Appointment Details

The disclosure was made to the BSE, NSE, and New York Stock Exchange under Regulation 30 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015. Manikantha A.G.S., Company Secretary, signed the filing.

Leadership Profile

Mitrankur (Mit) Majumdar serves as Executive Vice President and Global Head of the SURE segment. He leads Infosys’ business across services, utilities, resources, and energy sectors. With over 30 years of experience, he collaborates with C-suite leaders at Global 2000 organizations to drive transformation through AI, data, and cloud technologies.

Prior to this role, Majumdar served as Global Head of Services, overseeing industries including travel, hospitality, education, and real estate. He also spearheads strategic AI partnerships and advances the company’s Global Capability Center practice.

Majumdar holds an MBA from UT Austin’s McCombs School of Business and a Bachelor of Engineering in Electronics and Telecommunication. He has completed leadership programs at Stanford University and Harvard Business School.