Indian IT sector: Accenture cut fuels FY26 selloff

Why Indian IT stocks are selling off in FY26

Indian IT stocks have become a key social-media talking point in 2026 because the sector’s fall has been deeper and faster than the broader market. Posts and threads repeatedly point to slowing global tech spending and a more uncertain macro backdrop in key overseas markets. Investors are also reacting to the idea that traditional outsourcing growth models are being challenged by artificial intelligence-led automation. Several discussions flag delayed client decision-making, weak discretionary budgets, and tariff-related uncertainty as near-term headwinds. Another frequently cited factor is geopolitical risk, with the war in West Asia adding to risk-off positioning and concerns over energy-driven inflation. Sentiment has been further rattled by global tech volatility, with spillover from the Nasdaq and broader US tech resets into Indian IT. On some days, the selling has looked indiscriminate, pulling down both large caps and mid-cap IT names. The combined effect has been a sector-specific derating rather than a plain-vanilla market correction.

The scale of the drawdown versus the Nifty 50

The underperformance is clear in the headline index numbers shared widely on Reddit and market forums. One set of figures cited shows the Nifty IT index down 28.71 percent year-to-date, while the Nifty 50 is down 8.32 percent over the same period. Other posts refer to the Nifty IT index being down around 23 percent so far in 2026, versus roughly 10 to 11 percent for the Nifty 50, depending on the cut-off date used. Several users also highlight that some IT stocks are down as much as 34 percent year-to-date in 2026, reinforcing the view that the damage is not evenly distributed. A separate data point shared in discussions notes the index slumped roughly 40 percent from its cycle peak, amplifying the sense of a drawn-out bear phase. These differing percentages are not necessarily contradictory, because they reference different dates and sources across the year. What is consistent is that IT has been described as the worst-performing major sector in India over the past 12 to 18 months. The performance gap has made the sector a drag on broader sentiment, especially because IT is a heavyweight in institutional portfolios.

Accenture’s guidance cut and the spillover to India

A major trigger referenced across social media is Accenture cutting its revenue guidance, which renewed fears of a prolonged slowdown in global tech spending. Users noted that the move quickly translated into pressure across Indian frontline names including Infosys, TCS, Wipro, Tech Mahindra, and Coforge. The narrative is that Accenture, as a global bellwether, reinforced worries about deal caution and delayed decision-making at clients. One widely circulated claim said the sell-off wiped out about ₹1.35 lakh crore of investor wealth in a single session as blue-chip stocks hit multi-year lows. Separately, Reuters was cited for a sharp one-day fall in the IT index, with the index down 5.8 percent at 29,310.25 points on a day described as the worst in four months if losses held. The same Reuters-circulated discussion tied the move to fresh concerns that AI could disrupt traditional software services. For market participants, the takeaway was not only about one company’s guidance but about the direction of global enterprise spending. The guidance cut became a shorthand for weaker near-term visibility across IT services.

AI disruption: automation, pricing pressure and new tools

The dominant structural worry in the posts is that AI will automate parts of the work that traditionally supported large outsourcing contracts. Commentators describe this as “AI deflation,” meaning more output per unit of cost and therefore lower pricing power for routine services. Threads frequently mention advanced AI models and enterprise pushes, including tools from Anthropic, as a catalyst for global software stock volatility. The concern is not that enterprise tech spending disappears, but that it shifts toward AI infrastructure, models, and software rather than application maintenance and traditional outsourcing. A Kotak Securities view quoted in discussions frames it as budgets being redirected to GPUs, software, and models without overall tech budgets expanding at the same pace. When total budgets do not expand, the residual pool for classic services shrinks, raising competition and pressuring pricing. This is why some investors are questioning whether the sector’s historic growth model can deliver the same compounding over the next few years. At the same time, several posts stress uncertainty about AI’s economics, which makes it hard to model winners and losers in the near term.

Demand headwinds: delayed decisions and US growth worries

Alongside AI, near-term demand signals are being scrutinised closely. Many discussions point to delayed client decision-making and weaker discretionary spending, especially in the US, which is the largest revenue market for Indian IT companies. Tariff-related uncertainty is another issue repeatedly mentioned, with users arguing that it makes CFOs more cautious on project approvals. There is also a recurring reference to the risk of slower economic growth in the US, which can reduce spending on non-essential transformation programs. Some threads note that even when enterprises commit to AI-related spending, it may not translate into immediate outsourcing revenue for Indian vendors. This mismatch between where spending is going and how Indian IT books revenue is a key point behind the derating narrative. Geopolitical tensions, including the Iran conflict and broader West Asia war risk, appear in multiple posts as an added uncertainty layer. The argument is that geopolitical shocks can affect risk appetite, energy prices, and the macro environment, all of which feed into IT spending decisions. The net result is a sector facing both structural questions and cyclical caution at the same time.

Currency, rates and flows: the rupee cushion is limited

Currency trends are being discussed as both a buffer and a complication. A widely shared figure says the rupee has depreciated 6.6 percent against the US dollar in calendar year 2026, which is typically supportive for exporters’ rupee revenues. However, users argue the currency benefit has not been enough to offset weaker demand expectations and valuation resets. Evolving expectations around US interest rates are also frequently cited, because rates influence global risk appetite and tech multiples. On flows, one discussion highlights heavy foreign selling in 2026, noting FIIs sold $11.6 billion of Indian equities so far in the year, more than the $18.9 billion sold in all of 2025. Within that, $1.4 billion of net sales were attributed to Indian IT stocks up to April 15, reinforcing the view that IT has been a funding source. Another data point says the sector’s weight in mutual fund portfolios fell to an eight-year low of 6.7 percent in April, which some interpret as institutional de-risking. These flow indicators matter because they can extend a drawdown beyond what fundamentals alone would suggest. The combined message in posts is that even supportive factors like FX may only soften, not reverse, a sentiment-led sell-off.

Market-cap erosion and the pressure on bellwethers

The drawdown is often framed in rupee terms to show its scale. One widely cited figure says a multi-month bear market erased about ₹17.6 lakh crore in combined market capitalisation from India’s top 10 digital and technology services exporters. The same discussion claims valuations have been pushed to levels not seen since the global financial crisis, reflecting how far sentiment has swung. Individual stock moves are also used to anchor the narrative, including a claim that TCS shed more than ₹8 lakh crore in value as its shares fell 50 percent from peaks. The same set of posts says Infosys fell 45 percent, while HCL Technologies and LTIMindtree dropped at least 40 percent, and Wipro, Mphasis, and Coforge fell over 30 percent. Separate chatter notes the six largest IT companies collectively lost nearly ₹7 lakh crore in market capitalisation amid the broader sell-off. Users also point out that the Nifty IT index hit a near three-year low in May 2026 after losing more than a fourth of its value since the start of the year. The repeated reference to fresh 52-week lows in large caps adds to the perception that the market is still searching for a floor. Against this backdrop, a single positive headline, such as TCS overtaking Accenture in market value, has not been enough to shift sector-wide risk appetite.

What investors are watching for signs of stabilisation

Despite the bearish tone, the discussions are not uniformly negative about the long-term story. Several analysts quoted in social chatter describe the recovery as tentative and dependent on when client decision-making normalises. Investors are watching the pace of deal conversions and whether discretionary budgets revive, particularly in the US. Another key watch item is whether AI-related work starts translating into scalable revenue streams for Indian vendors rather than remaining concentrated in infrastructure and platform spend elsewhere. Participants are also tracking how pricing behaves as automation increases, because pricing pressure can offset volume growth. Macro variables remain in focus, including geopolitical developments and any sustained impact on crude oil and broader risk sentiment. Users are also paying attention to rupee volatility, since exporters benefit from depreciation but face uncertainty when FX moves are sharp. The sector’s relative performance versus the Nifty 50 is being used as a quick gauge of whether risk appetite is returning. Finally, investors are debating whether FY27 could be a tough year as well, with some saying that trying to call the exact bottom may not be the right approach.

The social-media split: exit calls versus gradual accumulation

The most common disagreement online is about timing rather than whether the sector will survive. One camp argues that AI disruption is systemic and will keep multiples under pressure until business models and revenue mixes visibly change. Another camp frames the correction as a mix of structural disruption and near-term demand weakness, not a complete erosion of long-term potential. A frequently shared portfolio view is that this phase is not a clean exit signal but a hold and gradually accumulate approach for investors with a medium-to-long horizon. Contrarian-minded posts also point to the mutual fund underweight and lower sector allocation as a possible sentiment extreme. At the same time, even the more constructive voices emphasise patience, because revenue growth is not yet clearly catching up with the speed of AI-led change. There is broad acknowledgement that the sector has to prove where it fits in an enterprise world spending more on AI tools and infrastructure. For many retail investors, the key practical question is how to size exposure during a drawdown without relying on a single bottom call. The overall tone remains cautious, with the sector’s next leg likely tied to both global spending signals and clearer AI monetisation paths.