Indian IT Fires Back: 'SaaSpocalypse' Fears Undermine AI Opportunity, Say Experts

On February 4, Indian IT companies had a bloodbath on the bourses, with a “SaaSpocalypse” fear gripping the industry. The reasons were multifold. 

Anthropic rolled out new plugins for its Claude Cowork models that can automate routine enterprise tasks, unnerving IT services companies dependent on US projects. 

Meanwhile, Palantir, in its earnings call, said that AI is compressing enterprise resource planning (ERP) timelines from years to weeks. The domain was traditionally considered impervious to AI-driven productivity gains. The company also highlighted how it was upending pay-per-seat software and third-party solutions with its own AI offerings.

The perception hasn’t really changed since. Indian IT stocks slumped on February 5, too, with the Nifty IT index down around 0.6%.

Analysts and industry leaders, however, say the reaction reflects nervous sentiments and a pricing reset rather than structural disruption, with artificial intelligence expected to expand, not shrink, services demand.

Margin Pressure

Ujjwal Dubey, Portfolio Analyst at Motilal Oswal Private Wealth, tells AIM that the market movement was largely peer-driven.

“Whatever happened to Indian IT today was just peer pressure, not because of structural issues. Indian IT is still a better place against the AI risk hedge. Secondly, AI development within Indian IT firms is underway, and the top four will deliver the AI very soon,” he says.

He also explains that the fundamentals are strong. “Indian IT is expecting some 10–12% top-line and bottom-line growth, with about 2% dividend yield and ROE (return on equity) of over 40%, trading at around 23x current and 20–21x one-year forward. The most important thing is that Indian IT is at profitable growth, whether large or mid-sized, whereas global AI development is heavily under non-profitable growth.”

Investor anxiety has boiled over amid rapid enterprise AI announcements and the growing adoption of copilots and plugins, evoking fears that AI-led software models may compress traditional services revenues. Gaurav Vasu, Founder and CEO of cognitive intelligence platform UnearthInsight, says the implications extend beyond Indian IT and signal a broader reset across global technology and business services.

“AI copilots spanning legal, finance, sales, data analysis, and business development could disrupt 10–15% of tech and support functions by structurally lowering the cost of documentation, compliance, analytics, and routine BD work,” he notes.

Vasu adds that market reactions have been sharpest among high-margin, workflow-driven incumbents such as Accenture, RELX, Wolters Kluwer, FactSet, and Intuit. “In the near term, people-heavy service models face margin pressure, but structurally this is an inflection point: firms that pivot from junior-led execution to expert-driven, AI-augmented delivery stand to emerge stronger over the medium to long term.”

Implementation Takes Time

Industry commentary, however, points to a gradual transition rather than an abrupt dislocation.

During Cognizant’s Q4 earnings call, CEO Ravi Kumar S said AI should be seen as an expansion of opportunity rather than a replacement cycle for services, drawing parallels with earlier technology shifts.

“When a new technology comes, we think the old technology will go away, but the new technology will actually provide more opportunities. I see this as an increase in our total addressable spend,” he said, emphasising that tools alone cannot generate value without enterprise transformation.

“You can’t apply this technology to existing old processes, so you have to reinvent and reimagine a process.”

Kumar highlighted the complexity of integrating AI into enterprise environments, including combining legacy deterministic software with newer probabilistic AI systems and enabling human and digital labour to work together.

“Integrating deterministic software… with probabilistic software… and building flows where digital and human labour can work together… is a lot of heavy lift,” he said. He added that much of AI’s productivity potential has yet to translate into financial impact, with technical debt, backlog, and enterprise complexity acting as barriers.

Kumar described the shift as a “tailwind,” driven by applying AI to modernise traditional software estates and tap new areas of spending. He also said enterprise package software will coexist with AI, with firms “applying layers of AI value on top of it” rather than replacing it outright.

In a November 2025 note, Motilal Oswal explained that during the early cloud build-out phase (2016-17), hyperscaler capex expansion initially acted as a revenue headwind for Indian IT services as enterprises paused traditional outsourcing in favour of direct cloud investments. Once the capex cycle normalised, industry growth re-accelerated sharply.

The financial services firm echoed that AI implementation requires modernising legacy tech stacks of enterprises, and IT vendors have a role to play.

“More importantly, AI-native firms will eventually leverage the enterprise relationships and context knowledge of IT vendors, who will turn out to be channel partners,” it said in a latest note.

Sunrise Opportunity

Ashok Soota, Chairman and Chief Mentor of IT services company Happiest Minds Technologies, frames recent AI developments as an opportunity for IT services, noting that excitement around platforms and plugins lowers barriers to software creation but increases the need for firms that integrate, govern, and operationalise enterprise AI. He adds that earlier disruptions, such as SaaS and cloud, ultimately expanded the role of IT services rather than shrinking it.

Madhu Bandarapu, Chief Delivery Officer at IT consulting firm Hyniva, says the shift signals a broader change in commercial models rather than a collapse in demand. “This reflects how working models will evolve in the coming years toward managed services, outcome-based or transaction-based deals, compared to working hours or billable hours,” he tells AIM. 

Bandarapu adds that IT services firms have already begun adapting to the rise of copilots and are investing in developing proprietary AI tools to remain competitive. 

“All these IT service companies are open to using market-leading copilots in partnership with customers to address specific use cases that drive user value. They are forming alliance partnerships based on market demand and adopting these solutions in projects according to customer preferences,” he notes. 

At the same time, he highlights adoption constraints in regulated sectors. “Sectors such as financial services and healthcare continue to show some apprehension toward copilots, driven by concerns over the potential exposure of proprietary code and data. As a result, their use is tightly governed by responsible AI councils within customer organisations.”

Wipro, Mphasis, and Tech Mahindra refused to participate in the story.

Calling such concerns misplaced, industry body Nasscom said that Indian technology services companies work closely with global enterprises that operate complex technology environments, with interconnected systems and fragmented data.

“Creating real business value from AI requires careful coordination, with humans in the loop who understand business context, industry knowledge, and enterprise workflows. AI is unlikely to be adopted as a simple ‘out-of-the-box’ solution in large enterprises,” it said.

As enterprise AI adoption moves from experimentation to large-scale deployment, technology services companies will play a critical role in enabling this transition.