Brokerage firm Nirmal Bang has maintained 'Sell' ratings on six large-cap IT stocks, including TCS and Infosys, citing AI-related disruption and weak growth. The brokerage holds a more neutral 'Hold' view on mid-cap players like Coforge and Persistent Systems. Investors are weighing how these companies will manage the expensive transition to AI-driven services without pressuring their profit margins.
Brokerage firm Nirmal Bang has reiterated its cautious stance on the Indian IT sector, maintaining 'Sell' ratings on six prominent large-cap technology companies as of September 16, 2026. The list of companies with a 'Sell' view includes Tata Consultancy Services (TCS), Infosys, Wipro, HCLTech, Tech Mahindra, and LTIMindtree.
The brokerage expressed concerns that the global IT services industry is entering a difficult phase characterized by shifts in how technology services are delivered. A primary concern cited is the impact of Artificial Intelligence (AI) on traditional business models. According to the report, the industry faces a double-edged sword: if AI adoption accelerates rapidly, it may shrink demand for traditional, high-margin IT services. Conversely, if AI projects fail to deliver promised financial returns, global clients might cut back on technology spending, leading to further pressure on service providers.
Financial performance has been a key factor behind this outlook. The report highlighted that, with the exception of Tech Mahindra, large-cap IT services companies recorded average sequential growth of nearly zero percent in the recent period. This stagnation is seen as a sign that traditional revenue drivers are losing momentum while newer AI-led initiatives have yet to scale enough to offset the decline.
In contrast to its bearish view on large-caps, Nirmal Bang maintained 'Hold' ratings on several mid-cap IT firms, specifically Coforge, Persistent Systems, and Mphasis. The brokerage noted that these mid-sized companies are currently better positioned because they have lower exposure to legacy markets—the older, slower-growing parts of the business—and have shown more agility in adopting AI-led delivery models to win new deals.
The transition to becoming an 'AI-native' service provider is described as a complex and costly process. For investors, this creates execution risk. Companies must spend heavily on building these new capabilities and retraining their workforce, which can squeeze profit margins in the near term. The ability of management teams to navigate this shift—balancing the need for heavy investment while maintaining profitability—will be a critical factor in how these stocks perform.
Looking ahead, investors should monitor indicators beyond simple revenue growth. Key monitorables include the actual impact of AI projects on deal pipelines, the stability of operating margins as companies adjust their spending, and any signs of recovery in global client technology budgets. Whether these companies can successfully reinvent their delivery models or will continue to face pressure from the rapid pace of technological change remains the central question for the sector.