IT results and stock movements — dead cat bounce?

Indian IT stocks have staged a rebound after deep underperformance in nearly two years. The Nifty IT index gained roughly 20 per cent from the July 2026 lows, its best monthly performance since the sector’s prolonged slide began in February-March 2024. That correction, triggered by fears that AI models and hyperscaler-led infrastructure spending would cannibalise traditional IT services, had left the index down over 20 per cent year-to-date even after this bounce. The question worth asking is not whether the rally happened, but whether it signals something durable: a genuine turning point for Indian IT, or simply a rotational trade riding on the coattails of a US tech sell-off.

The immediate triggers are real, if modest. Q1FY27 earnings from TCS and Tech Mahindra came in better than the market’s deeply pessimistic expectations. Deal pipelines showed some life, including a large AI transformation engagement and improving AI-linked revenue contribution across the sector. TCS’s large deal with ABB and LTIMindtree’s partnership with Anthropic to expand Claude adoption gave investors tangible evidence that Indian vendors are not being left entirely behind in the AI build-out. Valuations, having been beaten down to multi-year lows (NIFTY IT at 18x PE, trailing), offered an undemanding entry point. And more recently, easing Middle East tensions after a US-Iran military pause lifted risk appetite broadly across Indian equities.

But the more powerful, and more mechanical, driver has been rotational. AI infrastructure stocks remain in a rolling, uneven correction rather than a clean bottom. Leveraged capacity builders have been hit hardest and stayed volatile: Oracle fell 33 per cent in a single month, while CoreWeave fell 38 per cent and net of recent whipsaw Oracle still down 24 per cent year-to-date. Memory names have swung even more violently: SanDisk crashed 45 per cent in a month while SK Hynix fell 13 per cent, and over the past week Micron, SanDisk, and Western Digital fell 5-7 per cent as rising Treasury yields compressed valuations. By contrast, the “toll-road” suppliers, Nvidia, SK Hynix, Samsung, Micron, AMD, and TSMC, have proven more resilient, though not immune. Hence, while the cash-rich platforms and scarce foundry capacity have held up best, leveraged capacity builders were punished most, reflecting rising anxiety over how the AI build-out gets financed.

As global capital reassesses whether roughly $780 billion in 2026 hyperscaler AI capex (Chart 1) will generate commensurate cash flow, money has rotated out of expensive, richly-valued US tech and semis and into comparatively cheap, under-owned laggards, of which Indian IT is one of the most obvious candidates globally. In this framing, the US sell-off and the Indian rebound are two sides of the same repositioning trade, not two independent stories.

For the “value unlock” narrative around Indian IT to be more than a temporary flow-driven bounce, three things need to hold true, and each is questionable.

First, does the US IT correction automatically translate into better business sentiment for Indian IT companies? Not obviously. The US tech sell-off is a valuation reset for AI infrastructure spenders; it says nothing about whether US enterprises will increase discretionary IT services spending, renew outsourcing contracts more generously, or accelerate large-deal signings with Indian vendors. If anything, a chastened US corporate sector reassessing capex discipline post-sell-off could just as easily mean tighter vendor budgets and continued cost-takeout mandates, the very dynamic that has suppressed Indian IT revenue growth for the past two years.

Second, is there a genuine inverse correlation between US tech/AI indices and Indian IT indices? The current rally assumes so, but the historical relationship is far weaker than the flow-driven narrative implies. Indian IT’s fortunes are tied to US corporate IT budgets, BFSI and retail discretionary spending, and global economic growth, not mechanically to Nasdaq semiconductor valuations. A short-term capital rotation into “cheap” laggards is a flow story, not a fundamentals story (see Chart 2).

The risk is that a sustained US tech market cap erosion could pressure enterprise confidence, delay discretionary technology spending and increase scrutiny of client budgets, deal sizes and vendor investments. In turn, this may weigh on deal conversion, pricing and near-term revenue growth for Indian IT-services firms, particularly those with greater exposure to US technology clients (see Chart 3).

Third, can the structural drag — Indian IT’s relative lack of frontier AI capability, and the tendency of US hyperscalers to spend more on their own infrastructure than on outsourced services — actually be undone? This is the crux of the matter, and the honest answer is: not quickly, and not without a strategic pivot most Indian vendors are only beginning to make. In a blue sky scenario, the AI cycle could follow a J-curve: initial pressure from automation and cost take-outs, followed by stronger growth once AI spending shifts from infrastructure capex to monetisation and scaled deployments. That is a post 2028 scenario.

It’s tempting to draw comfort from history: Indian IT faced a similarly bruising valuation de-rating during the 2015-17 digital transformation cycle, only to be rescued by the December 2017 US tax cut, which drove a surge in IT services allocation, followed by a post-pandemic digitization boom through 2022. Could a similar tailwind rescue this cycle?

The comparison argues for caution, not comfort. That earlier tailwind came from an accommodative macro backdrop — near-zero rates, QE, and fiscal stimulus flowing directly into tech budgets. Today’s environment is close to the opposite. The Fed remains hawkish, with rates near 3.7 per cent and 10-year yields at 4.7-4.8 per cent, raising hurdle rates for transformation projects and lengthening deal cycles rather than accelerating them.

US government debt near $40 trillion is fuelling protectionism and tighter immigration policy — including H-1B fee hikes to $100,000 and new wage-requirement proposals — that favour US-based AI investment and disadvantage the offshore delivery model underpinning Indian IT’s advantage for two decades.