Infosys eyes $300-400bn AI-first services market by 2030

What Infosys is signalling on AI demand

Infosys is positioning itself to capture what it estimates is a large AI-first services opportunity as enterprises move from pilots to broader deployments. Chairman Nandan Nilekani has argued that artificial intelligence should strengthen technology services firms rather than replace them, calling it a force multiplier for companies that adapt. The company has pegged the AI-first services market opportunity in a range of USD 300,000 to 400,000 million by 2030. The comments came alongside disclosures that the company has crossed an annualised AI services revenue run rate of about USD 1,000 million. Infosys has also said it is already working with 90% of its top 200 clients on AI initiatives, indicating that adoption is extending beyond a limited set of early adopters. The message to investors is that services demand can expand even as AI tools lift productivity. At the same time, management has acknowledged market debate around whether AI-driven automation could compress services revenue, though it has not quantified that compression.

Chairman Nilekani: AI will reinforce IT services, not remove them

Nilekani has repeatedly framed the AI shift as one that increases the need for execution capabilities rather than reducing them. He said enterprises still require deep systems integration, governance, trust frameworks, and large-scale transformation work to re-engineer operations. In his view, the constraint is less about model capability and more about how quickly companies can implement AI in real environments. At Infosys Investor AI Day 2026, he described a “deployment gap” between fast-improving AI models and the ability of enterprises to put them to work. He also pointed to the scale of accumulated tech debt and said legacy modernization can no longer be deferred. Nilekani differentiated between greenfield and brownfield AI investments, saying productivity in legacy projects that need modernization for the agentic era has scaled around 1%, compared with 15% in newer projects. That framing supports a services-heavy thesis: modernization and integration work remains substantial even if some delivery tasks get automated. He also predicted a labour market shift, saying 92 million traditional jobs could be displaced while 170 million new jobs could be created in emerging roles such as AI engineers and forensic analysts.

Parekh’s view: a quantified market and six service “bets”

CEO Salil Parekh has tied the opportunity to a defined set of service lines that Infosys expects clients to spend on as AI adoption widens. Parekh has cited an addressable market of around USD 300,000 million over the next five years as a directional growth marker. He has also pointed to external analysis to support the USD 300,000 to 400,000 million estimate through 2030. At Investor AI Day, he laid out six focus areas for growth in AI services: AI strategy and engineering, data for AI, process reimagination, legacy modernization, physical AI, and AI trust and governance. Parekh said this was not theoretical and reflected ongoing work with clients. He also said legacy modernization alone could be among the largest growth drivers within these areas. Infosys has presented its strategy as two-pronged: capture incremental demand for AI-first services across the six value pools, and augment existing services with AI to expand wallet share.

Infosys AI-First Value Framework and the Topaz suite

Infosys has launched what it calls an AI-First Value framework to structure how it sells and delivers enterprise AI transformation. The company unveiled its “AI first value framework” on February 17, 2026, positioning it as a method to help global enterprises unlock AI value at scale. The framework is tied to Infosys Topaz, which Infosys describes as its generative and agentic AI suite. In a separate release, Infosys referenced a Nasscom–McKinsey report as the basis for the USD 300,000 to 400,000 million incremental AI-first services opportunity by 2030. The company later released a transcript of Investor AI Day 2026 on February 24, 2026, detailing its transformation strategy and roadmap. The recurring theme across these communications is implementation: moving from AI experiments to large-scale programs with governance and measurable outcomes.

Adoption and revenue signals disclosed so far

Infosys has provided several datapoints that it is seeing meaningful AI demand rather than isolated pilots. The company said it does “AI work” for 90% of its top 200 large clients. It also disclosed that AI services were 5.5% of revenue in the third quarter, which it quantified as approximately USD 280 million for that quarter. Management also stated that this implies an annualised run rate of about USD 1,000 million in AI services revenue, and said AI-related revenues are growing at a robust pace. Infosys’ third-quarter revenue rose nearly 9% year-on-year to INR 454,790 million (INR 45,479 crore). Taken together, the disclosures suggest AI is material enough to track as a revenue line, but still a minority share of total revenue.

Market backdrop: AI optimism alongside sector jitters

Infosys’ AI messaging has come at a time when global investors are debating whether AI tools will expand IT budgets or compress services pricing. Nilekani’s remarks were also set against a broader technology sell-off, with a reported USD 1,000,000 million global rout in technology stocks during the month referenced, and more than USD 50,000 million wiped out from Indian IT stocks. Infosys has acknowledged the compression argument directly, with Parekh noting that several entities have suggested AI productivity could compress IT services revenues. However, he said Infosys sees the expansion opportunity as larger than the compression, while also stating the company has not quantified a compression figure for external reference. The company’s stance is that demand for new AI programs and modernization should offset the productivity-led pressure.

Peer context: how rivals are quantifying AI revenues

Infosys is among a small group of Indian IT firms that have put numbers around AI-related revenue. In the peer set cited, Tata Consultancy Services (TCS) reported USD 1,800 million in annualised AI revenue. HCLTech disclosed USD 146 million in AI revenue in the third quarter. These disclosures are increasingly used by investors to compare traction and positioning, even though definitions and accounting treatment may vary across companies. Infosys’ own disclosure of USD 280 million in quarterly AI services revenue and an annualised run rate of USD 1,000 million provides a comparable anchor. The key investor question is likely to remain how quickly these AI revenue lines scale relative to traditional services.

Key numbers at a glance

Why this matters for investors

Infosys is trying to anchor AI as a structural services cycle, not a short-term productivity shock. The company’s messaging emphasises areas where enterprises need external partners: modernising legacy estates, making data usable for AI, redesigning processes with agents, and setting up governance and trust. The six-part framework also gives investors a way to track whether deal wins are concentrated in one area, such as legacy modernisation, or diversified across multiple AI value pools. The disclosed 90% penetration across the top 200 client base suggests AI conversations are widespread, but the 5.5% revenue share shows monetisation is still emerging. The compression debate remains an overhang, but Infosys’ position is that new spending will be larger than any offset from efficiency. Over time, investors are likely to focus on the trajectory of AI revenue as a share of total revenue and how it influences margins through automation and delivery changes.

Conclusion

Infosys has framed enterprise AI adoption as a long runway for IT services, estimating a USD 300,000 to 400,000 million AI-first services opportunity by 2030 and reporting an annualised AI services revenue run rate of about USD 1,000 million. The company has tied its push to a structured AI-First Value framework and six service areas spanning strategy, data, processes, modernization, physical AI, and trust. Near term, investors will track whether AI services expand beyond the current 5.5% revenue contribution and how Infosys balances AI-led productivity with revenue growth. Future disclosures from Investor AI Day follow-through, client deployments, and periodic revenue updates will likely shape how markets price this transition.