Nifty IT Rally in July 2026: Real Comeback or AI-Led Rotation?

Written by Finnovate

Content Team

Indian information technology stocks entered July 2026 as one of the weakest parts of the equity market. By the close on July 29, the same sector had become one of the month’s strongest performers.

The Nifty IT index closed at 31,123.10 on July 29 after rising 2.32% during the session. Its month-to-date gain stood at approximately 16%, even though foreign institutional investors had reduced their holdings in seven of the index’s ten constituents during the June quarter.

The turnaround raises an important question: has the operating outlook for Indian IT genuinely improved, or is the market recovering from excessive pessimism while global investors rotate away from crowded AI-hardware trades?

The evidence points to a combination of both.

Quarterly results showed stronger deal activity, measurable AI revenue and better execution at selected companies. However, revenue growth remained modest across much of the sector, guidance was cautious and the traditional outsourcing model continued to face pressure from AI-led productivity.

How sharp has the Nifty IT recovery been?

Before July began, investor sentiment towards Indian IT was unusually weak.

The sector had entered the Q1 FY27 earnings season as India’s worst-performing major equity sector. Weak discretionary technology spending, uncertainty around AI disruption and expectations of prolonged revenue growth below 4% had weighed on valuations.

The July rebound is therefore significant, but it has not taken the index back to its previous high. It is more accurately described as a recovery from a deep correction than a complete reversal of the earlier decline.

Why did Indian IT stocks fall so sharply?

The correction was driven by both cyclical and structural concerns.

Global enterprises remained cautious about discretionary technology projects. Longer decision cycles delayed the conversion of deal pipelines into revenue, while economic and geopolitical uncertainty affected spending in sectors such as telecom, consumer businesses and technology.

At the same time, AI created a more fundamental concern.

Indian IT companies traditionally earned a large part of their revenue by supplying teams for application development, maintenance, testing, infrastructure management and business-process services. Generative AI can automate parts of this work, reduce the number of employees required and shorten delivery timelines.

That creates possible pressure on:

• Employee-linked billing
• Project pricing
• Headcount growth
• Application-maintenance revenue
• Testing and coding work
• Traditional time-and-material contracts

Foreign investors responded by reducing exposure. FIIs cut their holdings in seven of the ten Nifty IT constituents during the June quarter, while the sector’s weight in the Nifty 50 had fallen to a multi-decade low.

Finnovate had earlier examined whether markets had overreacted to AI-driven disruption in Indian IT when the Anthropic-led sell-off intensified.

What did Q1 FY27 results actually show?

The earnings season weakened the most pessimistic argument against Indian IT, but it did not demonstrate a sector-wide growth boom.

TCS reported quarterly revenue of $7.62 billion, 0.4% sequential constant-currency growth and a $9.5 billion order book. Its annualised AI-services revenue reached $2.6 billion, up 13.6% sequentially.

Infosys delivered 1% sequential constant-currency growth and $3.6 billion in large-deal wins, of which 61% was net new. AI represented 8.2% of quarterly revenue. The company revised its FY27 constant-currency revenue-growth guidance to 1.5%–3%, which remains constructive but far below the growth rates seen during stronger outsourcing cycles.

HCLTech recorded its highest-ever first-quarter net-new bookings at $2.4 billion. Advanced AI revenue reached $171 million, growing 62.1% year on year in constant currency. However, total constant-currency revenue declined 0.5% sequentially.

Tech Mahindra produced the strongest sequential growth among the five large companies, with constant-currency revenue rising 2.6%. Its deal wins reached $1.078 billion, while the EBIT margin improved to 14.4%.

Wipro remained weaker. IT-services revenue declined 1.2% sequentially in constant currency, and its second-quarter guidance ranged from a 1.5% decline to growth of only 0.5%. Large-deal bookings improved, but the revenue outlook continued to show that recovery is uneven.

AI is becoming revenue, but not yet broad growth

The most important change in the earnings season was that AI moved from presentations and pilot projects into measurable revenue disclosures.

TCS disclosed a $2.6 billion annualised AI run rate. Infosys said AI contributed 8.2% of revenue. HCLTech disclosed $171 million of advanced-AI revenue.

These figures show that Indian IT companies are participating in:

• Enterprise AI implementation
• Data preparation and modernisation
• Cloud infrastructure
• AI governance
• Cybersecurity
• Model integration
• Intelligent operations
• AI-enabled business transformation

This supports the opportunity side of India’s position across the global AI value chain.

However, company AI disclosures are not directly comparable.

TCS annualises quarterly AI revenue, Infosys reports AI as a proportion of total revenue and HCLTech separately reports advanced-AI revenue. These figures cannot be combined or used to create a standard sector growth rate.

There is also a deeper contradiction:

AI can increase technology-transformation spending while reducing the labour required to deliver each project.

Indian IT companies may win more AI-related work, but they may also face pressure on pricing, headcount and traditional billing models. The rally does not resolve that tension.

Did the market overestimate the AI threat?

The July rebound suggests that investors may have priced the disruption risk too aggressively.

The earlier market view treated AI primarily as a substitute for outsourced technology services. Q1 results showed that large Indian vendors can also act as implementation partners, helping global companies integrate AI into complex existing systems.

Large enterprises still need support with:

• Legacy-system integration
• Proprietary data
• Regulatory compliance
• Security and privacy
• Cloud architecture
• AI governance
• Change management

These areas favour companies with established client relationships and experience managing large technology environments.

However, better AI revenue does not guarantee that the old outsourcing model will remain intact. Revenue per employee, project pricing and headcount trends will become increasingly important measures of whether AI creates profitable growth or simply replaces existing work.

How did the global AI sell-off help Indian IT?

The late-July rally also coincided with sharp selling in Asian semiconductor markets.

On July 28, Samsung Electronics fell 13.4% and SK Hynix dropped 14.7% as investors questioned high valuations, AI-infrastructure financing and rising competition from Chinese chipmakers. South Korea’s KOSPI fell 10.8% during the session.

Indian equities moved in the opposite direction on July 29. The Nifty 50 gained 1.1%, while Nifty IT rose 2.3%, taking its four-session advance to 9.1%. Reuters attributed part of the move to rotation away from crowded AI trades and towards markets with less direct exposure to expensive AI-hardware stocks.

This follows an earlier period in which AI-linked markets gained emerging-market capital at India’s expense.

The July movement does not prove that funds sold Korean semiconductor companies and directly bought TCS or Infosys. It is more accurately interpreted as a relative portfolio shift:

• AI-hardware stocks had become crowded and expensive.
• Indian IT had become under-owned after a deep correction.
• Company results were better than the most bearish expectations.
• Investors had an incentive to rebalance exposure.

Why valuations and positioning matter

A sector can rally sharply without experiencing an equally sharp improvement in earnings.

When investors are heavily underweight, relatively modest positive news can produce:

• Short covering
• Brokerage upgrades
• Reversal of defensive positions
• Valuation multiple expansion
• Catch-up buying

That appears to be an important part of the Nifty IT rally.

FII ownership had declined across most index constituents before the rebound, while the index itself had fallen approximately 28% during 2026 before July.

The selective return of FPI buying during the first fortnight of July also created a more supportive environment for beaten-down large-cap sectors, although information technology received only a small net inflow during that fortnight.

The rally is therefore partly a reassessment of fundamentals and partly a correction of extreme positioning.

Rally versus business recovery

The distinction between a market rally and an operating recovery is important.

Through July 29, the evidence for a market rally was strong.

The evidence for a full operating recovery was still incomplete.

What could sustain the IT rally?

The rebound could become more durable if:

• Deal wins convert into revenue faster
• Clients restart discretionary technology projects
• AI revenue expands across several quarters
• Infosys or HCLTech upgrades guidance
• Wipro returns to sequential growth
• Tech Mahindra sustains its margin recovery
• Pricing remains stable despite AI productivity gains
• Foreign investors rebuild sector exposure
• The rupee remains supportive without becoming disorderly

A weaker rupee can increase the rupee value of dollar revenue, but investors should distinguish currency translation from actual constant-currency business growth.

What could reverse the rally?

The main risks remain:

• AI reducing traditional project volumes
• Clients demanding lower prices for productivity gains
• Large deals taking longer to generate revenue
• Weak technology spending in the US and Europe
• A renewed rise in global interest rates
• Guidance downgrades
• Margin pressure from restructuring and AI investment
• A rebound in crowded semiconductor markets drawing capital back towards Taiwan and South Korea

The sector could also correct if share prices rise faster than earnings expectations.

What should investors watch next?

The next two quarters should be judged using operating indicators rather than price performance alone.

The most useful measures are:

1. Sequential constant-currency revenue growth
2. FY27 revenue guidance
3. Large-deal TCV and net-new share
4. Conversion of bookings into revenue
5. AI revenue and its reporting methodology
6. Operating margins
7. Revenue per employee
8. Headcount and hiring
9. Client discretionary spending
10. FII ownership

A rising index answers the question of whether market sentiment has improved. These operating measures will answer whether the business cycle has improved.

A real market recovery, but not yet a full IT comeback

The Nifty IT rally through July 29 is real in market terms.

Better-than-feared earnings, strong deal wins, measurable AI revenue and deeply underweight investor positioning have weakened the most bearish case against the sector. The correction in crowded Asian AI-hardware stocks provided an additional relative-allocation trigger.

But the operating evidence remains mixed.

TCS and Infosys delivered modest sequential growth. HCLTech’s bookings and AI revenue were strong, but total quarterly revenue declined sequentially. Tech Mahindra showed improving execution, while Wipro continued to face weak near-term growth.

The rally therefore appears to be a recovery from excessive pessimism, supported by an AI-led global rotation. It is not yet confirmation that Indian IT has entered a new high-growth cycle.

A durable comeback will require AI revenue to translate into broader growth, stronger guidance and sustained earnings upgrades without undermining pricing and margins.

FAQs

1. How much did Nifty IT rise in July 2026?

Nifty IT had gained approximately 16% month to date through the close on July 29, 2026. This is not the final return for July because the month had not ended.

2. Where did Nifty IT close on July 29, 2026?

The index closed at 31,123.10, up 2.32% during the session.

3. Why are Indian IT stocks rising?

The rally has been supported by better-than-feared quarterly results, growing AI revenue, strong deal wins, attractive valuations after the earlier correction, short covering and global rotation away from crowded AI-hardware stocks.

4. Is AI helping or hurting Indian IT companies?

It is doing both. AI creates implementation, data, cloud and governance opportunities, but it can also reduce employee requirements, shorten project timelines and pressure traditional pricing.

5. Which Indian IT company reported the strongest Q1 FY27 growth?

Among the five large companies discussed, Tech Mahindra reported the strongest sequential constant-currency revenue growth at 2.6%.

6. Does the rally mean the IT-sector slowdown is over?

Not yet. Revenue guidance remains modest, company performance is uneven and deal wins still need to convert into sustained revenue and earnings growth.

7. Why did Indian IT rise while Asian AI-chip stocks fell?

Indian IT had already corrected sharply and was under-owned, while AI-hardware stocks in markets such as South Korea had become crowded. This created conditions for relative portfolio rotation.

8. What should investors monitor after the rally?

The main indicators are constant-currency revenue growth, guidance, deal conversion, AI revenue, margins, revenue per employee, headcount and foreign investor ownership.

Disclaimer: This article is for general information and educational purposes only. It does not constitute investment advice, a recommendation or an offer to buy or sell any security, index product or financial instrument. Market performance and company results may change after the stated data cut-off.