Indian IT stocks slide 6% as Accenture cuts 2026

The selloff that hit Indian IT in one session

Indian IT stocks fell sharply on Friday as investor concerns around artificial intelligence-led disruption resurfaced across large-cap and mid-cap software exporters. The decline was broad-based, hitting Tata Consultancy Services (TCS), Infosys, Tech Mahindra and HCLTech among others. The move erased nearly ₹1.35 lakh crore in market value from major IT stocks in a single trading session, according to the data cited. The Nifty IT index plunged 6%, pulling down the combined market capitalisation of Nifty IT companies to ₹21.57 lakh crore. The selling was accompanied by renewed doubts about the durability of traditional outsourcing demand.

What triggered the fall: Accenture’s muted outlook

The immediate trigger was a weaker-than-expected outlook from global technology services major Accenture. Indian IT investors closely track Accenture’s commentary for signals on enterprise spending and discretionary technology budgets in the US and Europe. Accenture also indicated plans for higher investments in inorganic growth, which was interpreted by some market participants as an additional pressure point. The market reaction reflected fears that a cautious client environment may persist for longer than expected. It also amplified an existing narrative that enterprise buyers could shift spend away from conventional services as generative AI tools improve.

How much did key stocks fall?

Infosys led the decline, dropping more than 8% during the session. Other major IT names including Mphasis, TCS, Tech Mahindra, LTIMindtree, HCLTech and Persistent Systems registered losses of around 5-6%. TCS dropped more than 6.5% on Friday, and its market capitalisation fell by more than ₹52,000 crore, slipping below the ₹7.5 lakh crore mark. Infosys lost nearly ₹40,000 crore in market value and fell 8.6% to ₹1,030.35 for the day. The breadth of the fall suggested the market was repricing sector risk rather than reacting to a single company-specific development.

A quick data table: what the article reported

AI disruption fears: why the market is nervous

A central driver of the selloff was the fear that advances in generative AI could reduce long-term dependence on conventional IT services. The concern is not just about automation of routine tasks, but also about pricing pressure and changes in how projects are executed and billed. The article notes that investors are increasingly worried about structural challenges for the industry if the “old business model” shrinks. A separate theme is that when AI tools can write code, analyse data, and automate work, buyers may defer hiring external teams for certain tasks. This has pushed markets to reassess revenue growth expectations and margin assumptions for outsourcing-heavy companies.

What Accenture’s guidance said about client spending

Accenture’s decision to trim its full-year revenue outlook added weight to the idea that clients remain cautious. Shashwat Singh, Fundamental Analyst at Bajaj Broking, said the reduced guidance effectively confirms that clients are still careful with discretionary technology spending. He also linked the significance to the shared demand pool: Indian IT firms rely on similar global pipelines for discretionary projects, so a weaker Accenture forecast becomes a broad warning signal for the sector. While Accenture reported quarterly revenue of $18.7 billion, the article says the underlying performance and outlook raised concern. Accenture’s commentary also suggested AI is becoming a more meaningful demand driver, but the near-term market response focused on uncertainty around how spending patterns could shift.

Another layer of pressure: debt and inorganic investments

The market reaction also reflected discomfort around the idea of higher inorganic growth investments. The article notes that some investors viewed this as an “alarm bell” and connected it to fears of mounting debt for IT companies. Even without company-specific balance sheet changes in Indian firms, the concern was that a more competitive environment could push companies to spend more on acquisitions or capability building. In a risk-off session, such themes can accelerate selling because they complicate the margin and cash flow narrative investors prefer in large-cap IT.

Context: sector weakness has been building

The selloff arrived against a backdrop of extended weakness in technology stocks. The 10-stock Nifty IT index was described as the worst-performing sector on a recent Thursday session and among the weakest segments so far this year. The article notes the index declined 12.6% in 2025 and another 12.2% in 2026, highlighting sustained pressure amid global macro uncertainty and structural shifts. There was also mention of an overnight drop in Infosys and Wipro American depositary receipts (ADRs), which contributed to bearish cues ahead of the domestic open. VK Vijayakumar, Chief Investment Strategist at Geojit Investments, said the trend of weakness in tech stocks stemming from potential AI impact continues, and that weakness in ADRs indicates the segment may remain under pressure.

Valuations and longer-term resets: TCS and Wipro examples

Beyond the single-session fall, the article flags a larger valuation reset underway. It states that the market capitalisation of major IT firms has seen a significant decline between 2021 and March 2026, with TCS showing a 36% decrease in valuation. It also notes TCS’s market cap stood at ₹9.08 lakh crore by March 2026, while Wipro faced a 42% drop due to lacklustre financial results and fewer deal bookings in recent quarters. Rajesh Palviya, Senior Vice President of Research at Axis Securities, attributed TCS’s decline primarily to valuation de-rating after the post-COVID premium faded, adding that TCS had the highest premium among Indian IT companies and therefore “had the most to lose when sentiment soured.” Separately, the article says TCS reported $1.8 billion in annualised AI services revenue in Q3 FY26, while its share price corrected nearly 44% from its all-time high and touched a 5-year low of ₹2,585.

Market impact: who was hit, and why it matters

Friday’s decline was not confined to a single stock, which is why it mattered for index-level flows and portfolio positioning. Fresh selling in five large-cap IT names - TCS, Infosys, Wipro, HCL Technologies and Tech Mahindra - eroded over ₹84,000 crore in combined market capitalisation, as broader Wall Street weakness and renewed AI concerns spooked domestic investors. Another reported session saw software exporters sliding more than 4% amid persistent AI disruption fears and stronger-than-expected US jobs data that reduced hopes of near-term US Federal Reserve rate cuts. In that instance, the article notes TCS breached the ₹10 lakh crore market capitalisation threshold and touched a fresh 52-week low of ₹2,776 on the BSE as its shares fell 4.5%. Together, these data points show how quickly sentiment can shift when global cues, rates expectations, and technology disruption fears move in the same direction.

What brokerages and global banks are saying

Brokerage views in the article leaned cautious but selective. Equirus Securities said it remains selective in the sector and prefers stocks with “decent growth visibility” through a balanced portfolio across cost take-out and discretionary or AI-led transformational spend, adding it prefers Infosys and Tech Mahindra among large caps and Mphasis, eClerx and KPIT Tech among midcaps. JM also said it remains cautious and relatively prefers names with reasonable operational visibility, including Infosys among the top-6, Mphasis in mid-tiers, and Sagility among BPO names. On the other side of the debate, the article notes analysts at HSBC and JPMorgan said worries may be overdone because Indian IT firms could benefit as more customers require help integrating AI into their operations.

Conclusion: what to watch from here

The Friday selloff underlined how closely Indian IT valuations remain tied to global spending signals and AI-related uncertainty. The immediate catalyst was Accenture’s trimmed growth guidance, but the pressure also reflects a deeper debate about how AI changes demand, pricing and delivery models. In the near term, the key indicators highlighted include deal wins, margin protection and evidence that companies are adapting their business models. Investors will also watch for further commentary from global peers and for signs that AI-led projects translate into measurable services revenue, rather than only raising competitive intensity.