Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.

iTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more

AI is creating new business opportunities for India’s largest IT-services companies while pressuring them to rethink delivery models built around people-intensive work. Company disclosures show different growth results and several AI-focused strategies—not proof that the industry is already in an “identity crisis,” or that AI caused any company’s reported growth or decline.

Why AI puts the traditional IT-services model under pressure

For decades, large IT-services firms have earned much of their business by supplying people and expertise to build, operate and modernize clients’ technology. AI can change that equation in two directions: it may automate or reshape parts of established services, while creating demand for AI advisory, engineering, platforms and infrastructure. HCLTech CEO and Managing Director C Vijayakumar described both sides in the company’s FY26 message: “AI is creating enormous opportunities through entirely new business propositions, even as it quietly reshapes much of the old.”

That is the strategic tension behind the “identity crisis” framing. The companies are trying to sell AI-related work and use AI to change how services are delivered. But the available company disclosures do not establish how much existing work AI has displaced, whether client productivity has increased, or whether AI has caused job losses or revenue changes. They show what companies report and intend to do, not independent proof of impact.

Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.

What the reported results say—and what they do not

The figures below cover different fiscal periods and measure different things. They are not a like-for-like ranking of AI businesses or company performance.

Company and period Reported business result AI-related figure or strategy How to read it
HCLTech, FY26 Not stated in the cited CEO-message figures. $620 million annualized Advanced AI revenue; AI Force deployed across 75 clients. HCLTech defines Advanced AI to include AI Factory, Physical AI, Robotics, AI Engineering and Custom Silicon. It distinguishes this category from Classical AI and AI used in traditional services. The 75 deployments are company-reported, not an independent assessment of customer impact.
Wipro, year ended March 31, 2026 IT-services segment revenue of $10,478.1 million, down 0.3% year over year; down 1.6% in constant currency. CEO Srini Pallia said Wipro is pivoting to a “services-as-a-software” model through its AI Native Business & Platforms unit. The results describe the IT-services segment. They do not show that AI caused the decline or establish the financial results of the intended model change.
Infosys, FY26 $20,158 million revenue, up 3.1% in constant currency; ₹178,650 crore revenue and 3.1% constant-currency year-over-year growth in its integrated report. CEO commentary links performance to the company’s enterprise AI value proposition. Infosys also reported $14.9 billion in large-deal total contract value. Contract value is not recognized revenue, and the release does not specify what portion of revenue or deal value came from AI.
TCS, Q1 FY27, quarter ended June 30, 2026 $7,624 million revenue, up 2.7% year over year. $2.6 billion annualized AI business revenue run rate. This is a quarterly result and an annualized run rate, not a full-year AI revenue figure. TCS CEO K Krithivasan described it as the company “scaling our AI business to a $2.6 billion annualized revenue run rate.”

Constant-currency growth adjusts for exchange-rate movements; it is not the same as growth measured in reported dollars. Infosys’s integrated report also notes that some comparative impacts exclude ₹1,289 crore in labour-code-related provisions. That qualification matters when interpreting those comparisons.

How the companies say they are adapting

HCLTech: sell AI work and change service delivery

HCLTech presents a mix of AI advisory, AI engineering, AI Factory services, repeatable intellectual property and AI-led service transformation. Its reported Advanced AI figure is a company-defined annualized revenue measure; it should not be treated as equivalent to another company’s AI run rate or as proof that AI has replaced traditional services. The disclosures illustrate an effort to build dedicated AI offerings alongside AI-enabled delivery.

Wipro: move toward services-as-software

Wipro’s FY26 results pair a decline in constant-currency IT-services revenue with a stated plan to pivot toward services-as-a-software through its AI Native Business & Platforms unit. Pallia’s statement describes the company’s intended business-model shift. The reported financial figures do not establish whether that shift has offset pressure on traditional services.

Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.

Infosys: position enterprise AI within a broader business

Infosys reported constant-currency growth and large-deal wins, while its leadership highlighted an enterprise AI value proposition. Those facts indicate that AI is part of the company’s growth narrative, but they do not quantify AI’s share of total revenue or the $14.9 billion in large-deal contract value.

TCS: pursue transformation deals and AI-enabled services

TCS describes AI-led transformation deals alongside optimization and innovation work, modernization, cybersecurity, sovereign cloud and platform simplification. Its FY26 materials also describe partnerships and AI infrastructure and workflow offerings. These are company-reported areas of activity; the disclosures cited here do not independently measure customer savings or the business impact of the work.

Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Support on Ko-Fi

What would show whether the model is really changing?

AI announcements and deal headlines alone cannot settle whether the established services model is being replaced or strengthened. A more useful test is whether AI work becomes material, repeatable business while firms sustain growth as delivery changes. Readers assessing future results can look for:

  • Clear definitions: whether a company reports recognized AI revenue, an annualized run rate, bookings, contract value or a broad strategic category.
  • Consistent periods: whether comparisons use the same fiscal year or quarter and the same currency basis.
  • Evidence of repeatability: whether offerings move beyond individual projects into recurring, scalable work.
  • Delivery disclosures: whether companies explain how AI changes service work, rather than merely announcing new platforms or partnerships.
  • Outcomes with context: independently supported evidence of client results, productivity or workforce effects, rather than assuming those outcomes from an AI label.

The FY26 and Q1 FY27 disclosures provide only part of that picture. HCLTech’s defined Advanced AI category, its reported deployments and TCS’s run-rate figure offer concrete indicators of commercial activity, but the measures differ. Infosys’s and Wipro’s results add context on broader business performance without isolating AI’s contribution. On this evidence, the strongest conclusion is that India’s IT giants are adapting to AI under uneven business conditions; whether that adaptation resolves into a durable new model remains unsettled.

Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.