Infosys CEO: AI drives business growth

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“We bring together a deep understanding of our clients’ technology landscape, strong data engineering, and the ability to reimagine processes to help them capture value from AI at scale. We aim to put AI to work for our clients and deliver business outcomes of cost, revenue growth, and innovation,” said Salil Parekh, CEO and Managing Director, Infosys.


AI is quickly becoming a key focus in Infosys’ growth, the company’s CEO told reporters and analysts

Salil Parekh, CEO and managing director of Bengaluru, India-based digital services and consulting giant Infosys, also said the company has deepened its relationships with its largest customers globally.

In prepared remarks on Infosys’ Q3 2026 financial conference call, Parekh said Infosys is expanding its strategic partnerships with AI companies, including most recently with San Francisco-based Cognition, developer of the Devin software agent.

[Related: Infosys Buying Texas, Australia Companies In IT Services Push]

“We will combine Cognition’s Devin software agent with Infosys’ knowledge of client situations and industry expertise,” he said. “We are already working with a variety of clients.”

Also in the third quarter, Infosys, ranked No. 8 on CRN’s Solution Provider 500, enhanced its Topaz AI capabilities with a suite of agent services called Topaz Fabric. Parekh said this will help clients manage and implement AI agents across their enterprises.

“There was strong momentum in AI adoption across our customer base,” he said. “Currently, we work with 90% of our 200 largest clients to unlock value with AI. We are currently working on 4,600 AI projects. Our teams have generated over 28 million lines of code using AI. We have built over 500 agents. We are growing our forward-deployed team of engineers.”

Parekh said Infosys customers view solution providers as trusted partners to help them realize value from their AI investments.

“Their areas of focus include fragmented data, traditional application environments, and business workflows that are unsuitable for AI,” he said. “We bring together a deep understanding of our clients’ technology landscape, strong data engineering, and process rethinking capabilities to help them capture value from AI at scale. We aim to put AI to work for our clients and drive business outcomes of cost, revenue growth, and innovation.”

Infosys sees six AI-driven value pools that could create significant accretive opportunities for the company, as mentioned by Parekh.

  • AI engineering service
  • Data for AI
  • agent of operation
  • AI software development and legacy modernization
  • AI and physical devices
  • AI service

“We believe we are uniquely positioned to capture market share across these value pools and emerge as a leading AI value creator for global enterprises,” he said.

Parekh said large deals with customers are driving Infosys’ growth. He said the company closed 26 large deals totaling $4.8 billion during the quarter, 57 of which resulted in net new revenue. He cited the $1.6 billion contract with the UK National Health Service as an example, expanding Infosys’ efforts in healthcare by helping the NHS use AI to streamline operations and improve patient care for the British public.

When asked during the conference call how he sees the commercialization of Infosys’ AI initiatives in relation to AI and agentization, Parekh said agents are playing a huge role thanks to Infosys Topaz, the company’s AI-first technology for leveraging generative AI.

“We’re right on the cusp of that,” he said. “What we have built within Topaz is the fabric, Topaz as we call it. It’s a suite of dedicated agents that can work with interfaces from many different native AI companies and support a variety of horizontal and vertical functions within our clients. And that suite becomes our agent suite. And we also have agents from other companies that we integrate, implement, and extend because we know the client’s technology landscape and we know the depth of the industry.”

From a productization perspective, Infosys has built four small language models in its product suite.

“We’re going to do some small language model work,” he said. “We do other things as well. For example, there’s a set of AI wrappers and orchestration modules that we can build that allow clients to switch between underlying models, switch between agents, perform agent selection. So it’s a different type of product platform, and it’s all within Topaz. That’s how we’re thinking about it today.”

Infosys in numbers

Infosys reported revenue of $5.1 billion for the third quarter of 2025 ended December 31, an increase of 1.7% compared to revenue of $4.94 billion in the third quarter of 2024. That exceeded sales expectations by $70 million, according to Seeking Alpha.

The company also reported net income of $747 million, or 18 cents per share, down from $804 million, or 19 cents per share, in the year-ago period. On a non-GAAP basis, Infosys reported net income of $855 million, or 21 cents per share, up from $804 million, or 19 cents per share, last year.

Non-GAAP earnings beat analysts’ expectations by 1 cent per share, according to Seeking Alpha.

Looking ahead, Parekh said Infosys has raised its outlook for fiscal 2026 to reflect expected revenue growth of 3.0% to 3.5%, compared to the previous forecast of 2.0% to 3.0% growth. The company also expects operating margin guidance for the fiscal year to remain unchanged at 20% to 22%.



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