Infosys Q1 Earnings: AI momentum starts converting into revenue as Dash named CEO designate

Salil Parekh says AI demand is translating into revenue growth and large-deal wins as Infosys reports $3.6 billion in deal bookings, lowers FY27 growth guidance and announces Ashiss Kumar Dash as its next CEO.

Infosys says artificial intelligence is beginning to move beyond experimentation and into meaningful revenue generation, providing one of the clearest signals yet that enterprise AI investments are translating into commercial outcomes for large technology services providers.

The Bengaluru-headquartered company reported first-quarter FY27 revenue of $5.08 billion, up 2.4 percent year on year in constant currency.

Alongside the results, Infosys announced Ashiss Kumar Dash as CEO designate. Dash, a more than three-decade Infosys veteran, currently serves as executive vice president and global head of services, utilities, resources, energy and enterprise sustainability.

Based in Los Angeles, he will succeed Parekh when the current CEO and managing director completes his tenure next year.

Infosys also reported $3.6 billion in large-deal wins during the quarter, with 61 percent coming from net-new business, as enterprises continue investing in AI-led transformation despite ongoing macroeconomic uncertainty.

“AI momentum is now rapidly converting into revenue, which demonstrates how Infosys’ differentiated enterprise AI value proposition is translating into consistent market share gains,” Parekh said while announcing the results.

The comments offer an important glimpse into how enterprise buying behaviour is evolving. For much of the past two years, technology services firms have talked about AI pipelines, proofs of concept and pilot projects. Infosys is now arguing that AI demand is beginning to show up in revenue growth, deal activity and client spending patterns.

The company said AI-related work contributed 8.2 percent of total revenue during the quarter, making it one of the most noteworthy metrics disclosed in the earnings announcement.

The nature of Infosys’ client wins suggests enterprises are deploying AI inside core business and operational environments.

One of the company’s largest engagements during the quarter came from Mercedes-Benz Group AG, which renewed its long-standing partnership with Infosys and selected the company to help move one of the automotive sector’s largest hybrid-cloud and data centre environments toward an AI-led operating model. Infosys will deploy AIOps and agentic AI capabilities across the technology landscape using Infosys Topaz and Infosys Cobalt to improve efficiency, reliability and operational performance.

The company also expanded its partnership with GlobalFoundries to modernise IT operations through AI-driven automation, while healthcare provider Sentara selected Infosys to accelerate enterprise AI adoption across its operations. Telecom provider Spark New Zealand is embedding AI and cloud capabilities into daily technology operations through Infosys Topaz, while Cox Communications is using Infosys to support AI-enabled digital transformation initiatives.

Infosys positions Topaz at the centre of AI strategy

Parekh credited much of the company’s momentum to Infosys Topaz, its AI-first services, solutions and platforms portfolio.

“Strong large deal wins, powered by Infosys Topaz, reinforce client confidence in our ability to be the strategic partner of choice for AI transformation driving tangible business value,” he said.

The company said it has now established partnerships with all major AI providers and is leveraging that ecosystem to help clients accelerate AI adoption while improving productivity and creating new growth opportunities.

The ecosystem strategy was evident during the quarter as Infosys expanded its relationship with OpenAI. The companies will work together to help enterprises deploy OpenAI’s Codex platform across software modernisation, code review, vulnerability detection and application development initiatives.

OpenAI chief revenue officer Denise Dresser said enterprises are looking to move from early AI usage to repeatable, enterprise-wide deployments, an area where Infosys' large-scale transformation experience could play an important role.

Infosys also announced a collaboration with software delivery platform Harness to help enterprises manage what Harness describes as the “AI Velocity Paradox” - situations where AI accelerates software creation faster than testing, compliance, security and deployment processes can keep up.

Strong deal momentum, but outlook moderated

While demand for AI-related services continues to strengthen, Infosys remains cautious about the broader business environment.

Parekh said enterprises continue investing in AI, cloud, cybersecurity, data and productivity-led transformation programmes, but decision-making cycles remain longer amid macroeconomic uncertainty.

That caution was reflected in the company's revised FY27 revenue outlook. Infosys lowered its constant-currency revenue growth guidance to 1.5 percent to 3.0 percent, while maintaining its operating margin guidance of 20 percent to 22 percent.

Despite the moderation in revenue expectations, management highlighted strong execution and operational discipline.

Chief financial officer Jayesh Sanghrajka said Infosys' operating margin remained resilient at 21.1 percent during the quarter, up 20 basis points sequentially. The company generated free cash flow of $960 million during the period and continued investing in AI capabilities, platforms and talent development.

“Our resilient margins of 21.1 percent and consistent strong cash generation reflect the strength of our business model, disciplined execution and continued focus on operational excellence in a challenging business environment,” Sanghrajka said.

For channel partners and enterprise customers, the bigger signal may lie beyond the numbers. Infosys is positioning AI as a revenue-generating business. The company believes the next phase of competition will be shaped by measurable business outcomes, productivity improvements and large-scale AI transformation programmes.