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AI surge pushes Indian IT firms from pilots to full-scale deals

Wipro's CEO says enterprise AI is moving from experiments to ROI-driven deployments, expanding deal pipelines and reshaping budgets and hiring.

Dr. Elena Rodriguez3 min read
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AI surge pushes Indian IT firms from pilots to full-scale deals
Source: www.reuters.com

Artificial intelligence is driving a decisive shift in demand for India’s IT services as corporations move away from proof-of-concept projects and toward full-scale, return-on-investment driven deployments, Wipro’s chief executive said at the World Economic Forum in Davos. Srinivas Pallia framed the change as a commercial turning point that is enlarging pipelines of small, large and mega deals for Indian software-services firms.

“For our clients, 2025 was more about deploying AI, proof of concepts, and bringing productivity benefits. That's dramatically changing in 2026 because the boards and the CEOs are asking them where the return on investment is,” Pallia said, describing a movement from experimentation to accountability that is prompting buyers to consolidate vendors and pursue broader transformation programs. He said Wipro is pursuing a mixed bidding strategy and will “go after both (small and large deals) because different clients, different industries, and different markets are at different maturity stages.”

Pallia also quantified expected cost and productivity effects, saying AI-assisted software development will cost about 25 percent less and deliver “significant productivity gains in coding and testing.” He argued those savings will spur “new and more projects,” and predicted that improved efficiency will help prevent long-term IT budget contraction, even if overall technology spending does not rise dramatically in the near term.

The comments underline how AI momentum is altering the commercial math for providers in India, which has long built its reputation on labour-intensive outsourcing. Wipro launched a three-year, $1 billion investment program in 2023 to accelerate AI capabilities, and the company is now positioning that investment against a pipeline it says spans numerous deal sizes. Other aggregated coverage of Wipro’s most recent quarter cited Total Contract Value of roughly $4.7 billion and the signing of 13 large deals, noting demand driven by vendor consolidation and AI-powered transformations; those figures appear in the broader company and industry reporting.

The shift comes after a period of weakness for the Indian IT sector, which experienced several challenging quarters amid macroeconomic and geopolitical uncertainty. Industry estimates cited in coverage range from about $254 billion to $283 billion in size, a discrepancy that highlights differing measurement approaches across analyses. The market’s recovery, industry executives say, will depend on converting pilots into scalable, auditable projects that can demonstrate clear financial returns.

AI-generated illustration
AI-generated illustration

Operationally, Wipro has tightened its fresher hiring target for fiscal 2026 as it prioritizes building an AI-ready workforce. Separate reports have also described onboarding delays affecting over 250 fresh recruits and a related complaint to the labour ministry, details that sit outside Pallia’s Davos remarks but reflect the human resources challenges companies face while integrating new technologies.

For customers, the calculus now centers on measurable outcomes rather than novelty. Boards and CEOs pushing for ROI are prompting IT buyers to demand end-to-end delivery and vendor accountability, putting pressure on providers to bundle consulting, engineering and custodial services into larger engagements. Regulators, corporate governance teams and workforces will need to adapt as projects scale, balancing productivity gains with considerations of job design, retraining and ethical oversight.

As enterprises move from experimentation to execution, 2026 looks set to be a watershed year for Indian IT firms that can combine AI investment with disciplined delivery and clear financial metrics.

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