India’s IT Sector: The Art of Buying Fear

Down nearly 40 per cent from its recent peak, Indian IT is facing its sharpest identity test in years. But beneath the red screens lies a sector that is cash-rich, globally embedded, AI ready and, in select pockets, far cheaper than the market’s fear suggests [EasyDNNnews:PaidContentStart]

In December 2024, Indian IT looked almost untouchable. The Nifty IT index had become Dalal Street’s favourite comfort trade. The world was talking about artificial intelligence, global enterprises were still spending on cloud and automation, and India’s top technology companies seemed perfectly placed to capture the next wave. 

Then the story turned. 

By mid-2026, the same sector had become one of the market’s biggest disappointments. The correction has been brutal. The Nifty IT index fell 5.8 per cent on June 3, 2026, its worst single-day fall in four months, after already declining 24 per cent in 2026 and 13 per cent in 2025. Together, that is a near-40 per cent wealth erosion from the sector’s recent highs. 

But here is the paradox: the companies have not collapsed. The balance sheets are not broken. The cash flows have not vanished. The sector is not fighting for survival. Instead, Indian IT is fighting a more complex battle: the market is questioning whether the old outsourcing model can survive the age of AI. 

That question deserves respect. It also deserves perspective. 

From Market Darling to Market Doubt

The correction in Indian IT has not been caused by one event. It has been a layered selloff. 

The first layer was valuation. At the 2024 peak, several IT stocks were priced as if pandemic-era digital spending would continue forever. When revenue growth normalised, multiples had to compress. 

The second layer was weak discretionary spending in the U.S. and Europe. Indian IT earns a large share of revenue from global clients, especially in Banking, financial services, retail, manufacturing and technology. When clients delay cloud migration, ERP upgrades or transformation programmes, revenue conversion slows. 

The third layer was AI anxiety. On May 11, 2026, OpenAI announced the OpenAI Deployment Company, or DeployCo, designed to help organisations build and deploy AI systems directly inside their operations. It also agreed to acquire Tomoro, bringing around 150 deployment engineers from day one, and said the venture would begin with more than USD 4 billion of initial investment. 

For investors, the fear was immediate: if AI companies start offering deployment, integration and workflow redesign themselves, will Indian IT lose its most profitable consulting and transformation work? 

A Sector Derated Faster Than Its Fundamentals Deteriorated
That fear is not imaginary. But it may be premature. 

traditional work, while expanding demand for enterprise integration, data engineering, cybersecurity, testing, governance, cloud modernisation and managed AI operations. 

That is exactly the messy, execution-heavy work where Indian IT remains formidable. 

The Sector Still Has Scale, Relevance and Global Demand
The broader technology spending environment is not collapsing. In fact, the opposite is happening. Gartner expects worldwide IT spending to reach USD 6.31 trillion in 2026, up 13.5 per cent from 2025. It also forecasts IT services spending at USD 1.87 trillion in 2026, making it the largest spending category. 

The U.S., India’s most important export market for IT services, remains a powerful demand engine. Forrester expects U.S. technology spending to grow 8.3 per cent in 2026 to USD 2.9 trillion, despite macro and geopolitical headwinds. 

At home, India’s technology industry remains one of the country’s largest export engines. According to Nasscom, the Global enterprise technology is not plug-and-play. A bank cannot simply insert a model into its core systems. A retailer cannot automate supply chains without data cleanup, compliance, security, workflow redesign and change management. A pharma company cannot deploy AI at scale without governance. This is where Indian IT has spent three decades building muscle. 

The market has punished the sector as if AI will erase the model. The more balanced view is that AI will compress some traditional work, while expanding demand for enterprise integration, data engineering, cybersecurity, testing, governance, cloud modernisation and managed AI operations. 

That is exactly the messy, execution-heavy work where Indian IT remains formidable. 

The Sector Still Has Scale, Relevance and Global Demand The broader technology spending environment is not collapsing. In fact, the opposite is happening. Gartner expects worldwide IT spending to reach USD 6.31 trillion in 2026, up 13.5 per cent from 2025. It also forecasts IT services spending at USD 1.87 trillion in 2026, making it the largest spending category. 

The U.S., India’s most important export market for IT services, remains a powerful demand engine. Forrester expects U.S. technology spending to grow 8.3 per cent in 2026 to USD 2.9 trillion, despite macro and geopolitical headwinds. 

At home, India’s technology industry remains one of the country’s largest export engines. According to Nasscom, the sector is projected to grow 6.1 per cent year-on-year to USD 315 billion in FY26, crossing the USD 300 billion mark for the first time. Nasscom also pegs AI revenue from services firms at around USD 10-12 billion, while total sector employment is expected to rise to 5.95 million. 

This is not a shrinking industry. It is an industry being re-priced because its profit pool is changing. 

The old model was built on labour arbitrage: more people, more projects, more billing. The new model will reward domain depth, platforms, reusable assets, AI accelerators, proprietary tools and outcome-based pricing. Companies that make this transition will emerge stronger. Companies that fail will become low-growth utilities. 

AI: Threat, Tailwind or Both?
AI is both a disruptor and a demand creator. 

The bear case says AI will reduce the need for large teams. That is valid for low-complexity, repeatable work. Basic coding, testing, support tickets and documentation will see automation led pressure. Pricing models based purely on headcount will face strain. 

The bull case says enterprise AI cannot scale without IT services. Models need data. Data needs cleaning. Systems need integration. Workflows need redesign. Employees need adoption. Regulators need controls. Boards need measurable outcomes. 

This is why the AI cycle may eventually favour Indian IT, but only after a painful adjustment. 

ICRIER’s February 2026 study on 651 Indian IT firms found no evidence to support predictions of large-scale job losses from GenAI adoption. Instead, it observed broad moderation in hiring, mainly at the entry level, while roles exposed to AI, especially technical and analytical ones, saw stronger demand. Firms also reported productivity gains through higher quality output, time savings and cost savings. 

EY’s survey had earlier estimated that GenAI could improve productivity in India’s IT industry by 43-45 per cent over five years, with software development, BPO services and IT consulting contributing meaningfully to the gains. 

This means the real question is not whether AI will reduce some work. It will. The question is whether Indian IT companies can capture enough high-value AI work to offset that compression. 

Early signs are encouraging. TCS has disclosed meaningful AI revenue. HCLTech has disclosed advanced AI revenue. Infosys is building an ecosystem around Topaz, Anthropic, Intel, Cursor and other AI partnerships. Wipro is expanding agentic AI workflows through partnerships such as ServiceNow. The direction is visible. 

The monetisation is still early.
"AI will not reward the largest headcount. It will reward the best enterprise translators: companies that can turn models into working business systems." 

GCCs: Competitor, Client and Opportunity
Global Capability Centres (GCCs) are often seen as a threat to Indian IT services because global companies are bringing more technology work in-house. That is partly true. But GCCs also deepen India’s role in global technology. 

Reuters reported that India’s offshore technology centres are expected to generate USD 98.4 billion in FY26 revenue. India is expected to host 2,117 GCCs with a talent base of 2.36 million in FY26, with more than 100 new or expanded GCCs during the year. 

This changes the market structure. More work may move to India, but not all of it will go to traditional IT vendors. Large companies will split work across internal GCCs, global consulting firms, hyperscalers, AI-native players and Indian IT service providers. 

For Indian IT, the opportunity lies in becoming the transformation partner to GCCs. Many GCCs have talent, but not always transformation playbooks at scale. Indian IT firms can support them in cloud migration, cybersecurity, AI governance, data engineering and platform modernisation. 

The risk is that GCCs capture the highest-value work internally and leave lower-margin execution to vendors. This is why Indian IT companies must move up the value chain faster. 

Government Policy: Building the AI Base
India’s policy support is becoming more relevant. The IndiaAI Mission has a budget outlay of `10,371.92 crore over five years. PIB noted that the mission has onboarded 38,000 GPUs, with access being made available at subsidised rates. 

This matters because AI capability depends on compute, talent and datasets. India has long had the talent. It is now trying to strengthen compute access and domestic AI infrastructure. 

For IT companies, the policy backdrop can support three areas: training, AI experimentation and sovereign AI solutions for Indian languages, public services, banking, healthcare and governance. The next export opportunity may not only be servicing global clients from India. It may also be building India-tested AI solutions for the world. 

Do India’s IT Giants Still Qualify As Value Stocks?
Brokerage and consultant reports cited in February-March 2026 warn that AI-driven productivity gains could shrink the addressable market for traditional outsourcing. One of the retail brokers estimated that 30-40 per cent of IT services revenue is exposed to automation in app development, maintenance and testing; assuming a 30-50 per cent productivity boost, the firm expects 9-12 per cent of revenue to disappear, equating to roughly a 2 per cent annual headwind over three-four years. Its report added that generative AI can compress enterprise resource planning (ERP) implementation timelines from years to weeks, putting 10-15 per cent of industry revenue tied to enterprise software at risk. Kotak Institutional Equities noted that incremental demand from Gen-AI-enabled work is unlikely to offset deflation; it warned that the total addressable market could shrink by 20-25 per cent. Jefferies analysts, who downgraded several large firms in February 2026, estimated that application managed services, 22-45 per cent of revenue at major IT companies, could face sharp revenue deflation, leading to revenue growth 3 percentage points lower than previously forecast. In their worst-case scenario, earnings multiples could be derated by 30-65 per cent. 

Investment Outflows and Market Sentiment
Foreign investors reacted sharply to the growing uncertainty around the impact of artificial intelligence on the traditional IT services business model. During 2025 and early 2026, foreign portfolio investors significantly reduced their exposure to Indian technology stocks amid concerns that generative AI could compress pricing, reduce manpower-led revenues, and alter the economics of software outsourcing. According to market estimates, overseas investors sold roughly USD 8-9 billion worth of Indian IT shares during this period. By February 2026, the sell-off had erased nearly USD 50 billion or roughly `4,80,000 crore from the market capitalisation of Indian IT companies, marking one of the sector’s steepest declines since the pandemic-era correction. 

Most of the IT companies forming part of the Nifty IT index saw FIIs reducing their holdings. Coforge and Infosys were among those that saw the steepest fall in FII holdings in one quarter ending March 2026. 

The correction was driven not only by weaker discretionary technology spending in key markets such as the United States and Europe, but also by fears that AI-enabled software development tools could reduce demand for traditional application development and maintenance services. 

Analysts at JP Morgan argued that investors may be overestimating the near-term ability of AI systems to replace enterprise-grade software engineering and large-scale digital transformation projects. However, they acknowledged that the uncertainty itself has become a significant concern for investors because the long-term impact on the industry’s business model remains difficult to quantify. 

Reflecting these concerns, the Nifty IT Index substantially underperformed the broader market. Since December 2024, the Nifty IT index is down by 36.9 per cent compared to the Nifty 50, down by only 7.4 per cent. The divergence highlights how investors have reassessed the earnings outlook for export oriented technology companies while remaining relatively constructive on domestic-facing sectors of the Indian economy. 

Reinvention: How India’s IT Giants are Responding
Facing structural disruption, the leading IT firms are aggressively integrating AI into their offerings and reskilling their workforces: 

These initiatives illustrate that Indian IT players are not standing still; they are pivoting from labour-arbitrage models to AI-augmented services. The industry body Nasscom underscored this shift in its 2026 Strategic Review: India’s tech industry revenue is projected to reach USD 315 billion in FY26, up 6.1 per cent year-on-year, and AI-related revenues are estimated at USD 10-12 billion. About 2 million professionals have been upskilled in AI, including 200-300 thousand with advanced skills. Nasscom also emphasises the emergence of ‘human + AI’ teams and ‘platformisation’ across IT services. 

Valuation Realities: Have IT Stocks Become Cheap?
At 19.94x trailing earnings as of June 2026, the Nifty IT index is trading at levels not seen since the depths of the COVID-19 panic in early 2020. What makes this reading particularly striking is the context of the expanding-window bands: with 26 years of data anchoring the statistics, the long-run average mean sits around 29x, and the current PE is comfortably below the -1σ band, roughly 23x. On a simple percentile basis, the index is cheaper than approximately 76 per cent of all monthly readings since 2000, a z-score of around -1.5 that genuinely qualifies as statistical under-valuation rather than a minor wobble. 

The path to this point tells its own story. From a peak of 37x in January 2022, driven by pandemic-era digital acceleration tailwinds and aggressive global tech re-rating, the index has endured a sustained de-rating over four years. The first leg down, 2022-2023, was driven largely by multiple compression as U.S. interest rates rose sharply, squeezing the long-duration earnings streams that IT companies represent. 

The second leg, 2024-2026, has been more fundamental in nature: revenue growth across Indian IT majors slowed materially as clients in the BFSI, retail and hi-tech verticals deferred discretionary technology spending amid their own margin pressures and macroeconomic uncertainty around U.S. recession risks. 

The critical question for any investor is whether the earnings denominator in this PE ratio is itself reliable. Indian IT sector earnings have been relatively resilient, margins have compressed only modestly, and Large-Cap players have managed headcount carefully, so the PE compression is largely a price phenomenon rather than an earnings collapse. This matters: if earnings hold, a reversion from 20x to even the -1σ level of 23x would imply a 15 per cent re-rating tailwind on top of whatever price-earnings growth the market ascribes. The emerging AI services opportunity, where Indian IT firms are beginning to monetise through agent-based automation, AI-augmented development and large enterprise transformation deals, could serve as the catalyst that shifts the narrative from ‘secular slowdown’ to ‘next upgrade cycle’ 

That said, a few risks deserve watching before treating this as a clear buy signal. First, the mean itself is drifting lower over the expanding window as the very elevated 2000-2002 dot-com era readings, some months above 100x, get progressively diluted by more recent, saner data, so the statistical ‘distance’ from fair value may be slightly overstated. Second, client-side AI adoption could yet prove disruptive to the traditional time-and materials billing model, introducing a structural uncertainty to earnings visibility. And third, currency risk remains relevant: a sharp rupee appreciation or further USD weakness could compress reported earnings for export-heavy IT firms. On balance, however, the combination of a 26-year low-percentile valuation, sector earnings resilience and an emerging AI catalyst makes the current zone historically compelling for a patient investor with a 2-3 year horizon. 

Company-Specific Valuations
To assess whether Indian IT firms could qualify as value stocks, it helps to examine their individual valuations and cash-return metrics. The table below summarises the P/E ratios, Dividend yields and recent share-price changes for major listed IT companies, using publicly accessible data. Value investors often look for companies with low P/E ratios and attractive dividend yields. 

Interpreting the Numbers
 The first four companies, TCS, Infosys, Wipro and HCLTech, trade on mid-teens P/E multiples, much lower than global software giants such as Microsoft, 25.4x, Apple, 37.5x, or SAP, 24.9x, and slightly above Cognizant Technology Solutions, 11.6x. Traditional definitions of ‘value stocks’ often apply to companies with P/E ratios below 15x and stable cash flows; firms with positive P/E ratios below 10x are generally seen as deep value stocks, whereas P/Es over 30x are considered growth stocks. By this strict yardstick, most Indian IT majors are not classic value stocks yet. However, their valuations have compressed towards historical averages and are materially lower than during the pandemic, and they offer regular dividends and strong balance sheets. 

Should investors still consider them ‘value’ plays?
The answer depends on one’s definition of value investing and risk tolerance. 

Arguments in favour of holding

• Healthy balance sheets and cash flows, major Indian IT firms carry little debt and generate high free cash flow, enabling consistent dividends, TCS’s dividend yield approximately 2.7 per cent and HCLTech’s FY26 payout ratio approximately 97 per cent. Their cash piles provide a buffer to invest in AI and return capital. 
• Valuations near long-term averages, P/E ratios of 14-17x for TCS, Infosys, Wipro and HCLTech are close to their pre-pandemic ranges and well below global tech majors, suggesting limited downside if earnings remain stable.
• AI-enabled opportunities, despite deflation fears, new revenue streams are emerging. Motilal Oswal expects AI-assisted testing, prompt engineering, model integration and legacy modernisation to grow rapidly. Analysts such as JP Morgan argue that IT companies will remain the ‘plumbers’ of enterprise tech, integrating AI models into legacy systems.
• Mid-Cap outperformance, some mid-caps such as Persistent Systems and Coforge, while expensive, have grown revenues faster than large-caps, and these mid-cap IT stocks outperformed in 2025-2026. Investors seeking growth may accept higher valuations. 

Arguments for caution or trimming exposure

• Uncertain magnitude of disruption, analysts from Kotak, Ambit and Jefferies warn that AI-driven productivity could reduce industry revenue by 20-40 per cent. With managed services contributing up to 45 per cent of revenue, any deflation could severely compress earnings.
• Slowing growth and pricing pressure, Nasscom projects single-digit revenue growth this year, far below the double digit expansion seen during 2020-2021. If clients cut discretionary IT spending or use AI to shorten projects, earnings could stagnate despite cost savings.
• Valuation not deeply distressed, while P/E ratios have fallen, they remain above the typical below-10x threshold for classic value stocks. Persistent Systems’ and Coforge’s P/Es above 30x may be vulnerable if growth falters.
• Foreign investor selling and sentiment, the sector experienced USD 8.5 billion in foreign outflows in 2025, and negative sentiment can persist. A further derating cannot be ruled out if AI adoption accelerates faster than IT firms can capture new revenue streams. 

Conclusion: The Patience Trade
Every major correction in Indian IT feels permanent while it is unfolding. The sector looked broken after the dot-com crash, vulnerable after the global financial crisis and exhausted when the post-Covid digital spending boom faded. Yet, each time, the industry adapted and found a new growth path. 

This time, however, the challenge is sharper. Generative AI strikes at the heart of the old outsourcing model. It questions people-heavy delivery, challenges traditional billing structures, threatens routine work and rewards companies that can combine speed, domain expertise, automation and outcome driven execution. 

This time, however, the challenge is sharper. Generative AI strikes at the heart of the old outsourcing model. It questions people-heavy delivery, challenges traditional billing structures, threatens routine work and rewards companies that can combine speed, domain expertise, automation and outcome driven execution. 

That is why the next phase of Indian IT may not resemble the previous one. The winners may employ fewer people per dollar of revenue, earn more from platforms, AI accelerators, managed intelligence, data products and outcome-linked contracts, and gradually shift from being staffing engines to becoming transformation partners. 

The transition will not be smooth. It will test managements, expose weak business models and punish companies that talk about AI but continue to sell old services under a new label. The fear is not imaginary. Analysts believe a meaningful portion of traditional revenues could face pressure if productivity gains outpace incremental demand. 

Yet, Indian IT has never been only about cheap labour. At its best, it has stood for trust, execution, process discipline and the ability to manage complex global operations at scale. Leading companies such as TCS, Infosys and Wipro are already investing in AI platforms, training and new delivery models to stay relevant in this changing environment. 

For investors, the current correction has brought back one important factor: valuation comfort. At the peak, Indian IT was priced for certainty. Today, select leaders are priced for doubt. These stocks may not qualify as deep value bargains in the traditional sense, but their solid cash flows, reasonable valuations, dividend payouts and reinvention efforts make them worth watching for patient investors. 

Indian IT is not standing at the end of its story. It is standing at the uncomfortable beginning of its next one. The market is selling fear. The opportunity lies in buying only where that fear has gone too far.
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