Infosys management will participate in investor meetings across Mumbai and a virtual platform over the next week. The engagements include non-deal roadshows and a sector-specific conference call.

The company disclosed the schedule in a filing to stock exchanges on August 25, 2026. The meetings aim to engage with investors regarding the company’s business outlook and operational updates.

Meeting Schedule

The management team will hold group and one-on-one sessions in Mumbai on August 31 and September 1, 2026. This is followed by a virtual group call on September 2, 2026.

Participants

Jayesh Sanghrajka, Chief Financial Officer, leads the Mumbai roadshow alongside Sandeep Mahindroo, Financial Controller and Head – Investor Relations. Ganesh Ramasubramanian, AVP – Investor Relations, and Sweta Sheth, Principal – Investor Relations, also attend.

For the virtual session on September 2, Satish H.C., Chief Delivery Officer, and Mohammed Rafee Tarafdar, Chief Technology Officer, join Sandeep Mahindroo. The company noted that details of these events are available on its official website.

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.