Infosys counts over 500 AI agents, sees AI work across 90% of top 200 clients

Infosys CEO Salil Parekh and CFO Jayesh Sanghrajka speaking at the Q3FY26.

• Infosys now has over 500 AI agents, working with 90% of its top 200 clients
• Infosys generated 28 million lines of code using Gen AI, up 12% sequentially
• Infosys will continue campus hiring despite increased AI adoption

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India’s second-largest information technology (IT) services firm, Infosys, has said it now has over 500 AI agents and is doing AI work with more than 90 percent of its top 200 clients, as it pitches itself as an “AI partner of choice” for large enterprises.

“They’re using agents in several of our service lines to help enhance either growth or productivity,” CEO and managing director Salil Parekh said during the company’s post-earnings press conference on January 14.

Parekh added that Infosys’ usage of agents is already spreading across its service lines, adding that the company sees a strong base of AI work among its largest clients. Moreover, Infosys has generated over 28 million lines of code using Gen AI till now, a 12 percent increase sequentially.

In contrast, LTIMindtree has built about 1,500 AI-powered “digital employees”, deploying them across finance, infrastructure operations and customer service, as it pushes for nonlinear growth in the AI era. CEO Venu Lambu told Moneycontrol earlier that his company has created “digital personas” that come with an employee ID, a persona, and an AI-generated face.

The AI commentary comes at a time when Infosys has raised its FY26 revenue growth guidance to 3-3.5% in constant currency, even as its Q3 net profit fell 2.2% year-on-year to Rs 6,654 crore due to a Rs 1,289-crore charge linked to labour codes.

Agents making legacy modernisation viable again

The CEO said AI agents are not just changing how existing work gets done, but are unlocking a fresh wave of programmes that were earlier not economically viable.

Parekh pointed specifically to legacy modernisation, arguing that software agents combined with Infosys’ understanding of the client’s technology landscape can alter the economics for enterprises.

“That allows a lot of these projects which were not happening before to start happening,” Parekh said, describing it as a shift where work that was not being done earlier will now begin.

Also, read: From 4 weeks to 5 days: How Infosys’ AI agents are boosting enterprise operations

Billing model unchanged, hiring continues

On how agent-led delivery could reshape pricing models, Parekh said billing is still based on “traditional ways” and any change will evolve gradually as the AI market matures.

He also signalled that the company does not see AI software engineering and agents as a reason to slow hiring. Infosys will continue campus hiring next year as well, since these are “new areas of demand”.

This comes alongside Infosys’ recent hiring push, with CEO Salil Parekh saying the headcount increase reflects confidence in demand conditions.

Also, read: Infosys hikes entry-level salaries, offers up to Rs 21 lakh for graduates in specialised roles

Agentic AI push

In October 2025, the Bengaluru-headquartered firm had disclosed that it had executed over 2,500 Generative AI projects and more than 200 agentic AI projects for global clients.

During the company’s Q2 FY26 earnings call on October 16, Chief Delivery Officer Satish HC said enterprises were moving beyond pilots and scaling AI implementations to drive tangible business outcomes.

Infosys has built four Small Language Models (SLMs) for use within its own business.

It had earlier said in July 2025 that its deployment of agentic AI solutions delivered 5-15 percent productivity gains for clients, while also deploying AI agents internally. Satish had also cited a logistics client example where an AI-driven real-time data platform processes 400 million messages per day, delivering $1.5 million in savings and a 12% reduction in call volumes.

Satish also said around 10% of Infosys’ workforce is now “AI builders”, while Parekh reiterated that the company’s expertise in large-scale enterprise modernisation gives it an edge in deploying AI across complex client environments.