Indian IT Stocks Extend Losses as AI Fears Trigger Global Repricing

Shares of major Indian IT services firms extended losses following global volatility in AI-linked equities.

February 24, 2026
|

Indian technology stocks faced intensified selling pressure after an AI-driven market scare linked to the Citrini Report rattled global investors. The decline underscores mounting concerns that rapid advances in artificial intelligence could disrupt traditional outsourcing models central to India’s $200-billion IT services industry.

Shares of major Indian IT services firms extended losses following global volatility in AI-linked equities. The selloff was fueled by investor concerns that generative AI tools may reduce demand for labor-intensive software services and back-office operations.

The Citrini Report highlighted systemic risks tied to AI adoption and capital concentration, sparking broader market caution. Indian IT companies heavily reliant on US and European enterprise clients are particularly sensitive to shifts in global technology spending and automation trends.

The downturn reflects a recalibration of growth expectations as investors reassess long-term revenue visibility in the face of accelerating AI deployment across enterprise workflows. The development aligns with a broader global trend where artificial intelligence is reshaping the economics of enterprise technology services.

India’s IT sector has long benefited from offshore outsourcing, application maintenance contracts, and digital transformation initiatives. However, generative AI tools capable of automating coding, testing, customer support, and analytics functions are challenging conventional billing models based on workforce scale.

At the same time, global enterprises are experimenting with AI to streamline operations and reduce costs, potentially compressing demand for traditional services.

Indian firms have invested in AI capabilities and reskilling programs, positioning themselves as AI integrators rather than displaced intermediaries. Yet investor sentiment remains fragile as markets weigh the speed and magnitude of structural disruption.

For CXOs, the shift signals an inflection point in global IT services. Market analysts suggest that near-term revenue impact may be limited, as large enterprises typically adopt AI incrementally and require integration, customization, and compliance support.

Industry observers argue that Indian IT firms could ultimately benefit by embedding AI into service offerings, enhancing productivity and margins. However, portfolio managers warn that valuation multiples may contract if growth assumptions tied to traditional outsourcing weaken. Policy experts note that India’s broader economic strategy which positions technology services as a pillar of export earnings may need to adapt to AI-led efficiency gains.

Executives across the sector have emphasized reskilling initiatives, AI partnerships, and innovation investments to mitigate long-term displacement risks. For global executives, the shift could redefine operational strategies across IT services and digital transformation programs. Enterprises may renegotiate contracts, emphasizing AI-driven automation and outcome-based pricing models. Investors face heightened volatility as they reassess sector exposure amid structural technology shifts.

For policymakers, sustaining India’s competitive edge may require accelerated AI education, startup ecosystem support, and infrastructure investment. Boards and CFOs in Indian IT firms will likely prioritize margin resilience, workforce transformation, and strategic repositioning toward higher-value AI consulting and platform services.

Markets will closely monitor quarterly earnings commentary for clarity on AI’s tangible revenue impact. Decision-makers should watch enterprise spending trends, AI adoption timelines, and workforce transformation metrics.

While AI presents disruption risks, it also offers reinvention opportunities. The sector’s long-term trajectory will depend on how effectively firms pivot from labor arbitrage to AI-enabled value creation.

Source: Bloomberg
Date: February 24, 2026

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Indian IT Stocks Extend Losses as AI Fears Trigger Global Repricing

February 24, 2026

Shares of major Indian IT services firms extended losses following global volatility in AI-linked equities.

Indian technology stocks faced intensified selling pressure after an AI-driven market scare linked to the Citrini Report rattled global investors. The decline underscores mounting concerns that rapid advances in artificial intelligence could disrupt traditional outsourcing models central to India’s $200-billion IT services industry.

Shares of major Indian IT services firms extended losses following global volatility in AI-linked equities. The selloff was fueled by investor concerns that generative AI tools may reduce demand for labor-intensive software services and back-office operations.

The Citrini Report highlighted systemic risks tied to AI adoption and capital concentration, sparking broader market caution. Indian IT companies heavily reliant on US and European enterprise clients are particularly sensitive to shifts in global technology spending and automation trends.

The downturn reflects a recalibration of growth expectations as investors reassess long-term revenue visibility in the face of accelerating AI deployment across enterprise workflows. The development aligns with a broader global trend where artificial intelligence is reshaping the economics of enterprise technology services.

India’s IT sector has long benefited from offshore outsourcing, application maintenance contracts, and digital transformation initiatives. However, generative AI tools capable of automating coding, testing, customer support, and analytics functions are challenging conventional billing models based on workforce scale.

At the same time, global enterprises are experimenting with AI to streamline operations and reduce costs, potentially compressing demand for traditional services.

Indian firms have invested in AI capabilities and reskilling programs, positioning themselves as AI integrators rather than displaced intermediaries. Yet investor sentiment remains fragile as markets weigh the speed and magnitude of structural disruption.

For CXOs, the shift signals an inflection point in global IT services. Market analysts suggest that near-term revenue impact may be limited, as large enterprises typically adopt AI incrementally and require integration, customization, and compliance support.

Industry observers argue that Indian IT firms could ultimately benefit by embedding AI into service offerings, enhancing productivity and margins. However, portfolio managers warn that valuation multiples may contract if growth assumptions tied to traditional outsourcing weaken. Policy experts note that India’s broader economic strategy which positions technology services as a pillar of export earnings may need to adapt to AI-led efficiency gains.

Executives across the sector have emphasized reskilling initiatives, AI partnerships, and innovation investments to mitigate long-term displacement risks. For global executives, the shift could redefine operational strategies across IT services and digital transformation programs. Enterprises may renegotiate contracts, emphasizing AI-driven automation and outcome-based pricing models. Investors face heightened volatility as they reassess sector exposure amid structural technology shifts.

For policymakers, sustaining India’s competitive edge may require accelerated AI education, startup ecosystem support, and infrastructure investment. Boards and CFOs in Indian IT firms will likely prioritize margin resilience, workforce transformation, and strategic repositioning toward higher-value AI consulting and platform services.

Markets will closely monitor quarterly earnings commentary for clarity on AI’s tangible revenue impact. Decision-makers should watch enterprise spending trends, AI adoption timelines, and workforce transformation metrics.

While AI presents disruption risks, it also offers reinvention opportunities. The sector’s long-term trajectory will depend on how effectively firms pivot from labor arbitrage to AI-enabled value creation.

Source: Bloomberg
Date: February 24, 2026

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