Indian IT services are navigating a structural reset as artificial intelligence fundamentally changes how work gets delivered and priced. The sector faces a prolonged phase of slower growth and margin pressure as AI-driven budget shifts accelerate. While total global technology spending is projected to grow 13.4% in CY2026, IT services growth is forecast at just 4.2%—the incremental dollar flowing into GPU infrastructure, foundation models, and AI software rather than traditional services .
HCL Technologies CEO C. Vijayakumar quantified the impact directly: deals historically valued at $100 million are now worth approximately $80 million—a 20% compression due to AI-driven efficiency expectations from clients Transcripts +1. This represents an incremental impact beyond traditional productivity improvements. The company also noted it now requires 25-30% more effort to convert and achieve the same Total Contract Value compared to pre-AI scenarios Transcripts +1.
Kotak Institutional Equities estimates a net revenue deflation impact of approximately 3.5% annually from GenAI adoption over FY2027 to FY2029, after accounting for partial offsets from new AI-related implementation spending . The brokerage noted that AI-driven pricing pressure is arriving primarily through renewals of large multi-year contracts, where clients are embedding productivity expectations into pricing .
The impact of AI implementation varies significantly across verticals. Technology services companies are experiencing the most disruption, with clear separation between traditional services facing compression and AI-enabled services showing growth. Infosys reported that AI revenue reached 5.5% of total revenue in Q3 FY26 and grew further in Q4, though management acknowledged revenue compression in traditional services where AI foundation models are highly efficient Transcripts +1.
In contrast, BFSI companies view AI predominantly as an efficiency and growth enabler rather than a revenue threat. HDFC Bank built a unified AI platform enabling deployment of AI agents across the organization, with 5 AI use cases in production and 14 more in development—positioning AI as a key driver to enhance return on assets over the next 1-3 years Transcripts +2.
Manufacturing and consumer segments focus on AI for operational efficiency rather than revenue displacement. Nestlé India emphasized AI for "predicting the future rather than just having brands and differentiation," particularly for supply chain efficiency and marketing ROI optimization Source +1.
The industry is transitioning rapidly away from traditional effort-based delivery. AI-driven productivity is causing revenue deflation in legacy services, but this near-term compression is being offset by a multi-billion-dollar surge in new AI-native engagements . Clients are increasingly moving away from time-and-material contracts to outcome- and output-based agreements, driven by the measurable productivity gains from AI .
Tata Consultancy Services management acknowledged that while there are ongoing discussions about alternative pricing models due to GenAI, significant changes haven't materialized yet. However, Executive Director Aarthi Subramanian indicated the direction is clear: "I think that is the direction in which the model is going to evolve. These are initial days, but we are starting to make commitments on outcome-based projects with select customers" Transcripts.
Infosys CFO Jayesh Sanghrajka explained that newer pricing models are emerging: "It could be outcome-based pricing model. It could be pod-based or studio-based pricing model, etc. So there are various new pricing models that are emerging as we speak. I do not think over the next year or so, the entire model is going to change. The change will happen gradually" Transcripts.
Despite deflationary pressures, AI revenue is growing rapidly across major players. TCS has demonstrated remarkable growth, achieving $2.3 billion in annualized AI revenue by Q4 FY26, representing approximately 6.5% to 7% of total revenue Transcripts +2. The growth trajectory has been explosive: $1.5 billion in Q2 FY26, $1.8 billion in Q3 FY26, and $2.3 billion in Q4 FY26—representing 53.3% growth over just two quarters.
Infosys reported that AI services contributed 5.5% of revenue in Q3 FY26, generating approximately $275 million . Management confirmed that AI revenue in Q4 exceeded the 5.5% level from Q3, indicating continued acceleration Transcripts +1. HCLTech reported annualized Advanced AI revenues of $620 million in Q4 FY26 InvestorPresentations.
TCS management expects AI to be "net accretive" over time, initially arresting degrowth while AI revenue increases. They draw parallels to the digital transformation cycle where initial cannibalization was eventually more than compensated by digital revenue growth Transcripts +1. The AI and data business delivers revenue productivity that is "definitely much better than the TCS average or the traditional business" Transcripts.
TCS has developed a comprehensive strategy around AI to help customers address technology debt, structured around a "Get AI Ready" and "Lead with AI" framework Transcripts. Historically, technology debt reduction was often postponed by enterprises due to the time and cost involved. However, AI is now enabling customers to clear technology debt better and faster, making this a growing priority area Transcripts.
Specific initiatives include modernizing mission-critical crew management systems for a European Airline using Generative AI, reverse-engineering complex legacy systems powered by the Google Gemini platform Transcripts. For a US car rental company, TCS executed a complex legacy data warehouse migration, moving over 20 terabytes of mission-critical data to a modern data platform, which decommissioned legacy systems and delivered $2.5 million in savings Transcripts.
Infosys claims strategic advantages through its strong pipeline in legacy modernization, AI agents, and AI engineering. The company has secured $15 billion in deals, demonstrating strong market positioning in AI services Transcripts +1. Strategic collaborations with emerging foundation model companies including Anthropic and OpenAI, as well as major technology players like Google Gemini, NVIDIA, Microsoft, AWS, Google Cloud, and Intel, provide differentiated capabilities Transcripts +1.
Indian IT firms are navigating a complex trade-off between passing AI productivity gains to clients through lower pricing versus retaining margins to fund AI capability investments. As AI productivity gains become measurable, clients increasingly expect these benefits to be reflected in pricing. "Clients working with AI in production demand efficiency gains be passed through to pricing on existing contracts" .
This renewal-driven deflation is "unambiguously negative for margins and revenues" when headcount intensity remains unchanged . However, building AI capabilities requires significant investment in talent reskilling, platform development, partnerships, and infrastructure.
Companies are employing several strategies to address this challenge. TCS management explained that productivity is typically given up at the time of signing contracts rather than during the contract term: "Revenue conversion from signing is not impacted because of productivity. Because usually the productivity is given up at the time of signing. So, once we sign, we don't see demands on productivity during the term of the deal" Document.
Infosys focuses on premium pricing for AI services that offsets higher costs. Being ahead of the benchmark curve enables premium pricing Transcripts +1. The industry is also transitioning to outcome-based pricing where value is tied to business outcomes rather than hours worked, allowing companies to capture value from AI productivity while sharing benefits with clients .
Analysts view AI as a long-term opportunity for the sector while near-term financials reflect revenue compression and deal size reductions. ICICI Direct describes the sector outlook in two distinct stages. Stage 1 is the current deflationary phase where automation improves productivity and revenue compression appears before new demand scales. Peak impact is expected during FY26-FY28 .
Stage 2 is the expansionary phase where enterprises scale AI adoption, transformation spending rises, and higher-value AI services begin offsetting earlier deflationary pressure. Recovery is projected from FY28-end or FY29 onward .
The long-term opportunity remains substantial. Industry estimates indicate AI-led services could create an incremental TAM of USD 300-400 billion by 2030—significant when compared with the current Indian IT services industry size of about USD 280 billion . The same framework suggests 170 million new jobs could be created versus 92 million traditional jobs displaced .
Indian IT has navigated multiple technology transitions over the years, from ERP implementation to cloud and digital transformation. Each phase created disruption at first, but the industry expanded as enterprise demand evolved. The current AI shift appears to be another inflection point rather than an existential threat to the services model .
As Kotak Securities notes, "Some market veterans say what we are seeing is more of a reset than a breakdown. Prices have adjusted to reflect uncertainty, but the underlying businesses are still intact. Large Indian IT firms sit on strong balance sheets, long client relationships and years of domain experience in sectors such as banking and healthcare. That kind of trust is not built overnight, and it is not easily replaced by a new tool" .
