Indian IT Firms Report Muted Q1 Growth Amid AI Shift

For practitioners, the reallocation of enterprise budgets toward AI and internal capability centres is shifting demand from large-scale legacy outsourcing toward platform, automation, and outcomes-based work, which affects pricing, deal structures, and margins across the vendor ecosystem.

What happened - Reported facts: Reuters reports that India's major IT firms are forecast to post a muted April-June quarter, with the top six expected to report around 14% year-on-year revenue growth in rupee terms and 2.8% growth in constant-currency terms after currency effects are removed (Reuters). Reuters also cites brokerages including Citi and JPMorgan that expect subdued growth, with JPMorgan seeing revenue growth remaining below 3%-4% in the foreseeable future (Reuters). A Systematix Research report, summarized by EnterpriseAI/Economic Times, says enterprise spending is shifting toward AI initiatives and Global Capability Centres, limiting addressable spending for traditional IT services (EnterpriseAI / Economic Times). Reuters quotes TCS Chairman N Chandrasekaran saying "the day is not far" when the company would have an equal number of AI agents and employees (Reuters). Economic Times reports a recent Rs 17 lakh crore market-value decline in the sector amid investor unease (Economic Times).

Companies selling services and platforms now face three interacting pressures commonly seen across markets: AI-led pricing compression as automation substitutes routine work; budget reallocation to in-house AI and cloud-native teams that reduces outsourcer TAM; and macro/geopolitical weakness that delays discretionary spending. Reporting by Systematix Research frames tier-one Indian IT growth as constrained to roughly -1% to 5% annually over the next few years absent new revenue levers (EnterpriseAI / Economic Times).

Practitioners should expect deal economics to shift toward smaller, higher-margin AI PoCs, platform subscriptions, and outcome-based contracts. This trend typically increases demand for:

• •MLOps and model-monitoring tooling to move PoCs into production
• •cloud cost-optimization and inference-efficiency engineering
• •data governance and annotation pipelines to support enterprise models

These are common vendor responses in other markets when customers internalize model development but still outsource scaling and maintenance tasks.

Reported signals to track next include: quarterly guidance changes from Infosys, TCS, HCLTech, and Wipro (EnterpriseAI / Reuters); margin commentary tied to AI investments and wage inflation (EnterpriseAI); and deal-win composition shifting from large transformation programs to platform and AI services (Reuters / EnterpriseAI). Also monitor whether brokerages revise multi-year growth outlooks, as Reuters notes Citi and JPMorgan have already adjusted expectations (Reuters).

Observed patterns in similar transitions: Firms that previously relied on volume-based billing often report temporary margin pressure as they reinvest for automation and platformization; mid-tier players that focus on niche cloud-native or AI services can outperform peers during such cycles. Nomura characterized the situation as a "perfect storm" for the sector in reporting summarized by Reuters (Reuters).

Reported gaps in public statements: Coverage includes a direct quote from TCS Chairman N Chandrasekaran (Reuters); otherwise coverage has mainly routine earnings-season commentary (Reuters / EnterpriseAI).