Indian IT sector: AI deflation risk, cloud upside FY26

Why the Indian IT sector is back in focus

The Indian IT services sector is trending on social media in 2026 for two reasons that seem to clash. On one hand, brokerages and investors are debating whether AI will permanently disrupt the labour-led delivery model. On the other, multiple reports argue AI adoption will expand enterprise spending on cloud, data and integration work where Indian IT firms already have scale. Market performance has amplified the discussion, with the Nifty IT index down 28.4% in 2026 versus a 6.6% fall in the Nifty 50. Reuters also flagged that top IT companies were expected to report another subdued quarter amid weak client spending and geopolitical uncertainty. That mix of near-term caution and medium-term hope has shaped the online narrative around the sector. HDFC Securities Institutional Equities described the last three years as muted, while still calling for a sharp recovery beginning 2026 driven by AI demand. At the same time, the same transition is being framed as structurally painful before it becomes beneficial.

Public cloud spending is the clearest FY26 tailwind

One concrete datapoint repeated widely is India’s public cloud spend trajectory. Equirus Securities expects end-user spending on public cloud services in India to grow 28.1% year-on-year to US$17.5 billion in 2026, up from US$13.7 billion in 2025. The report links this to accelerating enterprise cloud adoption rather than a narrow, one-off factor. It also expects Infrastructure-as-a-Service and Platform-as-a-Service to lead, as organisations expand cloud-native and AI workloads. This is important for IT services because cloud adoption typically pulls in adjacent work such as migration, modernisation and operations. Social media discussions have treated this as a demand anchor even when discretionary spending is weak. The same thread highlights that AI workloads tend to increase consumption of cloud platforms, not reduce it. That is why cloud growth often appears in bullish arguments even during a tough stock performance phase.

AI is forcing a change in what IT companies sell

A core theme in the discussion is that AI is changing revenue models, not just delivery tools. HDFC Securities noted concerns about an AI-driven structural transformation that has weighed on sentiment and contributed to index underperformance. Traditional application development and maintenance is being described as giving way to higher-value areas such as platform engineering, AI implementation and agentic delivery models. This shift matters because it changes how projects are scoped, priced and measured. Instead of billing primarily for effort and headcount, contracts are increasingly debated as modular and outcome-driven. Several posts also describe shorter development cycles, which can compress billing in legacy formats. The sector’s challenge is not the absence of work, but the repricing of familiar work. That is why the same AI tool can be framed as both a growth driver and a margin risk.

Pricing pressure and deflation risk are the main near-term worry

The most repeated bear-case point is that AI-led productivity gains can force IT vendors to pass savings back to clients. Prabhudas Lilladher, citing industry experts, estimates a 20-50% deflationary impact on traditional IT services as AI reduces process complexity and turnaround times. Kotak Institutional Equities expects annual revenue deflation of 3% to 3.5% in the Indian IT services market through FY2028. Kotak also says new AI-related business may remain too small to offset the impact on the larger existing revenue base before FY2029. ICICI Direct similarly referenced about 2-3% annual deflation in traditional IT services revenues for the next couple of years. The common thread is that productivity does not automatically translate into higher vendor revenue in the short run. Online debates often focus on whether this becomes a permanent price reset or a temporary adjustment. The range of estimates also shows that the impact is likely to vary across service lines and client contexts.

A recovery thesis exists, but it is pushed out to FY27

Alongside deflation concerns, a separate set of posts is anchored in a timeline-based recovery thesis. Anand Rathi’s sector report says Indian IT services companies could see a strong growth recovery from FY27 as global technology spending shifts from building AI infrastructure to deploying AI across enterprises. The brokerage frames this as a move from “building capacity” to “proving payback,” implying a greater need for services-led implementation. It expects work delayed during the last few years to start flowing as generative AI moves from experimentation to wider enterprise adoption. It also expects the trend to strengthen in FY28 and FY29, potentially creating a multi-year growth cycle. This is consistent with the idea that enterprise AI adoption needs more integration and governance before it becomes repeatable. It also aligns with the view that modernisation projects could revive as costs and timelines improve. Still, the report itself cautions that near-term risks remain, including pricing pressure and weak global economic conditions.

Where enterprise budgets are moving in the AI era

Several discussions break down client spending priorities, offering a practical view of where IT demand may sit. One widely shared split says 30% of capex and 40%+ of the change in spending is going toward data modernisation and AI infusion. It also says 25% of capex is linked to core application modernisation and another 25% to cloud adoption and IT infrastructure. Cybersecurity is cited at 20% of capex, reflecting the governance and risk layer that comes with more AI and cloud usage. This kind of split supports the argument that AI does not exist as a standalone line item in enterprise budgets. Instead, it changes the sequencing and urgency of existing modernisation work. It also suggests that vendors with capabilities across data, cloud and security could be better placed as budgets rebalance. At the same time, the same budget split implies intense competition because many vendors can bid for these buckets. For Indian IT companies, the debate becomes less about whether AI work exists and more about pricing, execution and scale.

Early AI revenue signals from large IT companies

Social media chatter has also latched onto reported AI revenue indicators to judge whether the transition is monetising. Anand Rathi’s report says TCS has reported annualised AI revenue of US$1.6 billion. The same report says AI services accounted for 8.2% of Infosys’ revenue. It also notes HCLTech and LTIMindtree have reported growing revenue streams from AI services, without giving precise figures in the excerpts being shared. These datapoints are being used to argue that AI is already a measurable revenue stream, not only a pilot-stage narrative. NASSCOM adds sector-level context by estimating AI-related revenue of US$10-12 billion for FY26. NASSCOM also highlights more than two million professionals trained in AI, including 200,000-300,000 with advanced AI skills. This upskilling detail is frequently cited as a sign that supply is being prepared for demand. However, the same NASSCOM note cautions that AI both automates traditional tasks and creates new revenue streams, which keeps the net impact uncertain.

What to track next for investors following Nifty IT

For the near term, the sector narrative is likely to be driven by earnings commentary rather than a single macro number. Reuters cited brokerages expecting another subdued quarter as AI-driven pricing pressure and weak client spending weigh on growth. PL Capital also said the impact of AI disruption and weak spending would be broad-based, with effects visible in consumer, hi-tech and telecom verticals. Investors are watching whether companies talk more about platform engineering, AI implementation and agentic delivery, or whether conversations stay anchored in cost takeouts. Another key watchpoint is whether pricing pressure shows up first in application development and customer experience BPO, as Kotak expects higher deflation there than in infrastructure management and specialised BPO. The stock performance gap between Nifty IT and the broader market has kept sentiment fragile in 2026. At the same time, cloud spend growth and the shift to enterprise deployment from FY27 are the main supports for the recovery narrative. The simplest way to read the debate is that AI is compressing legacy economics while creating a new services stack that takes time to scale. Until that crossover is clearer, expect continued volatility in online sentiment around Indian IT.