AI is creating new business opportunities for India’s largest IT-services firms while putting pressure on a delivery model built around people-intensive work. Company disclosures show different responses—and different growth results—but do not establish that the industry is in an “identity crisis” or that AI caused any company’s revenue changes.
Why AI puts the traditional IT-services model under pressure
For decades, large IT-services companies have earned much of their business by supplying teams to build, maintain and modernize clients’ technology. AI creates a two-sided challenge: companies can sell AI advisory, engineering and infrastructure services, but clients may also expect more work to be delivered through software, platforms and automated processes rather than larger teams.
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HCLTech CEO and Managing Director C Vijayakumar described that tension in the company’s FY26 CEO message: “AI is creating enormous opportunities through entirely new business propositions, even as it quietly reshapes much of the old.” That is a company leader’s account of the opportunity and disruption—not independent evidence of how much work AI has displaced.
What the latest reported figures show
The disclosures below cover different periods and use different measures. Overall company revenue, constant-currency growth, recognized AI revenue, annualized run rates and contract value are not interchangeable. In particular, a deal’s total contract value is not revenue already recognized, and a run rate is an annualized measure rather than a report of revenue earned during that full year.
#1 Best Overall
| Company | Reported business performance | AI-related figure or disclosure | Stated response |
|---|---|---|---|
| HCLTech | Not stated in the cited FY26 CEO-message material. | $620 million in annualized Advanced AI revenue, reported in 2026. HCLTech defines this category to include AI Factory, Physical AI, Robotics, AI Engineering and Custom Silicon; it excludes Classical AI and AI used in traditional services. | AI advisory and engineering, AI Factory services, repeatable intellectual property and AI-led service transformation. The company also reported 75 client deployments of HCLTech AI Force in 2026. |
| Wipro | FY26 IT-services segment revenue was $10,478.1 million, down 0.3% year over year; constant-currency IT-services revenue was down 1.6%. Results were for the year ended March 31, 2026. | No comparable AI revenue or run-rate figure is stated in the cited FY26 release. | CEO and Managing Director Srini Pallia said Wipro was pivoting to a “services-as-a-software model” through its AI Native Business & Platforms unit. |
| Infosys | FY26 revenue was $20,158 million, up 3.1% in constant currency. The company also reported ₹178,650 crore in FY26 revenue and 3.1% constant-currency year-over-year growth. | The cited FY26 release does not state an AI revenue share or AI run rate. | The company linked its performance to its enterprise AI value proposition. It reported $14.9 billion in total contract value from large-deal wins; that is contract value, not recognized revenue or a disclosed AI-only figure. |
| TCS | Q1 FY27 revenue was $7,624 million, up 2.7% year over year, for the quarter ended June 30, 2026. | TCS reported a $2.6 billion annualized AI business revenue run rate for Q1 FY27. | AI-led transformation deals, optimization and innovation work, modernization, cybersecurity, sovereign cloud and platform simplification. TCS also described AI infrastructure and workflow offerings and partnerships in its FY26 results release. |
HCLTech’s deployment count is a company-reported count, not an independent measure of customer impact. The same distinction applies to the firms’ descriptions of strategy and customer outcomes.
How each company is trying to adapt
HCLTech: sell AI-focused work as well as AI-enabled delivery
HCLTech’s reported $620 million annualized Advanced AI figure is limited to its own defined category; it should not be treated as a standardized industry measure or compared directly with another company’s run rate. The company presents AI advisory, engineering, infrastructure and repeatable intellectual property as ways to turn its technical capabilities into new offerings while changing existing services. The 75 AI Force client deployments indicate reported adoption, but do not establish the value, results or recurring revenue of those deployments.
Rank #2
Wipro: change how services are packaged and monetized
Wipro’s “services-as-a-software” language points to an intended shift in delivery and monetization through its AI Native Business & Platforms unit. Its FY26 IT-services revenue declined on both the reported and constant-currency measures cited above. The release does not establish that AI caused the decline, nor does the statement alone show how much revenue the new model has generated.
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Infosys reported constant-currency growth in FY26 and $14.9 billion in large-deal total contract value. Those figures show overall performance and deal wins, respectively; the release does not establish what proportion is attributable to AI. The company’s AI value proposition is part of its stated positioning, not a separately quantified revenue contribution in the cited release. The integrated report notes that some comparative impacts exclude ₹1,289 crore in labour-code-related provisions, a qualification to those comparisons rather than an AI measure.
TCS: scale an AI run rate alongside transformation work
TCS’s $2.6 billion figure is an annualized AI business revenue run rate reported for Q1 FY27, not the same kind of figure as the quarter’s $7,624 million total revenue. The company describes AI transformation work alongside modernization, cybersecurity, sovereign cloud and platform simplification. Those offerings suggest that its stated approach combines new AI work with changes to clients’ existing technology estates; the cited releases do not independently measure customer savings or the impact of that work.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What these disclosures can—and cannot—tell us
The evidence points to different company trajectories, not one uniform industry result: Wipro’s FY26 IT-services constant-currency revenue declined, Infosys reported FY26 constant-currency growth, and TCS reported growth for Q1 FY27. Those periods are not directly comparable. HCLTech’s cited material provides AI-specific figures and strategy but not a matching overall revenue-growth figure.
- AI figures use different definitions. HCLTech’s Advanced AI category has a stated scope; TCS reports an AI business run rate. Neither is a standardized measure that can be ranked against the other.
- Bookings are not revenue. Infosys’s large-deal total contract value does not mean that amount was recognized in FY26 or that it is AI-related.
- Company strategy is not independent proof of results. The cited announcements describe platforms, delivery changes and customer work, but do not independently verify productivity gains, client savings, job losses or durable revenue.
- A real adaptation test takes time. The meaningful questions are whether AI-related offerings become material, repeatable business and whether companies can sustain growth as delivery changes. These disclosures offer partial evidence, not a conclusive verdict on long-term displacement.
For now, “identity crisis” is best read as a question about what these companies will sell and how they will deliver it—not as a condition established by the reported results. The clearest evidence is of an industry trying to build AI business while adapting established services, with outcomes that vary by company and remain difficult to compare.
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