Infosys expects artificial-intelligence services to become a significantly larger contributor to revenue and growth over the next three years. CEO and Managing Director Salil Parekh has not, however, publicly confirmed that AI will represent “almost half” of the company’s work. The latest reported figure was about 5.5% of AI-services revenue at the end of the third quarter, with Parekh saying the share increased in the fourth quarter without giving a percentage.
What Parekh actually forecast
In an interview published by Business Standard on April 30, 2026, Parekh said AI services would “become a larger part of the business and contribute more significantly to overall growth” over the following three years. That is a clear direction-of-travel statement, but it is not a forecast that AI will account for half, or nearly half, of Infosys’ work.
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The phrase “almost half” also lacks a defined denominator. It could refer to revenue, projects, employees’ work, bookings or a broader set of services. The interview passage does not define it, so attributing that percentage to Parekh would overstate what the source establishes.
How much of Infosys is AI today?
Parekh told Business Standard that AI-services revenue was about 5.5% at the end of the third quarter of the relevant fiscal year. He said it increased in the fourth quarter, but the interview did not state the Q4 percentage. The 5.5% figure should therefore be read as a reported, point-in-time revenue share—not as a current full-year result or a projection.
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At Infosys AI Investor Day on February 17, 2026, Parekh said the company was doing AI work for 90% of its 200 largest clients. That is a company-reported client-reach measure. It does not mean that 90% of those clients obtained most of their work from AI services, nor does it independently verify revenue or project volume.
What Infosys includes in “AI services”
Infosys describes a broad portfolio rather than a single product line. Its six stated opportunity areas are:
- AI strategy and engineering: deciding where AI can create value and building applications or agents.
- Data for AI: preparing, organizing and governing enterprise data for model use.
- Business-process transformation: redesigning workflows around automation and AI-assisted operations.
- Customer service: applying AI to support interactions and service delivery.
- Legacy modernization: updating older systems so they can work with modern data and AI architectures.
- Trust-related work: addressing security, governance, risk and responsible use.
The company distinguishes between “AI-first” services, created specifically for AI use cases, and “AI-augmented” services, in which AI is added to an existing offering. That distinction matters: a rising count of AI-enabled projects does not necessarily equal the same increase in new AI revenue.
Why the opportunity can expand—and still pressure parts of the business
Infosys’ growth case has two mechanisms. First, clients need help with strategy, data preparation, software engineering, process redesign and governance before they can deploy AI at scale. Parekh has also described orchestrating agents and platforms built by Infosys, clients and third parties, while emphasizing protection of enterprise data. These are company explanations of its opportunity, not independent measurements of industry-wide demand.
Second, AI can make existing technology and business-process work more productive. In its 2026 earnings discussion, Infosys identified AI services, large deals and expansion within existing client relationships as growth areas while acknowledging productivity-related compression in some traditional work. In practical terms, the same technology can create billable transformation projects and reduce the hours required to deliver portions of an established service.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.The $300 billion market figure
Infosys described the six AI opportunity areas as a $300 billion addressable market in the 2026 interview. This is the company’s market framing, not an independently validated market estimate. It indicates the scale Infosys believes is available across consulting, engineering, data, process work, customer operations, modernization and trust—not the amount it expects to capture.
How to interpret the three-year outlook
| Question | What the available statements establish |
|---|---|
| Will AI become more important to Infosys? | Yes. Parekh said it will become a larger business component and a more significant growth contributor over the next three years. |
| Is AI already half of Infosys’ work? | No such conclusion follows from the reported figures. AI-services revenue was about 5.5% at the end of Q3. |
| Did Parekh forecast an almost-half share? | Not in the cited April 2026 interview. The percentage and the definition of “work” are not provided. |
| How broad is client adoption? | Infosys said it was doing AI work for 90% of its 200 largest clients in February 2026. |
| Does every AI project add revenue? | No. AI-first projects can add work, while AI-augmented delivery can improve productivity and compress effort in existing services. |
What to watch in future disclosures
Investors and clients should look for a consistent definition of AI revenue, a disclosed Q4 or full-year share, and clarification on whether reported growth includes AI-augmented legacy work. Useful indicators would also include bookings, large-deal contribution, expansion within existing accounts and evidence of how productivity gains affect headcount, pricing and margins.
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Comparisons with other IT-services companies are meaningful only when those companies report the same date, revenue definition and scope. A headline percentage based only on AI-first consulting cannot be compared fairly with one that also counts AI embedded in modernization or business-process contracts.
Bottom line
Infosys’ published outlook supports a rising AI-services business and a larger contribution to growth over the next three years. It does not substantiate the specific claim that AI may account for almost half of Infosys’ work. The clearest reported benchmarks are approximately 5.5% of AI-services revenue at the end of Q3, an unspecified increase in Q4, and AI work reported across 90% of the company’s 200 largest clients.
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