AI-enabled workforce productivity could add about $28 billion to $84 billion a year to India’s nominal GDP under realistic adoption scenarios, according to a Cognizant AI study released in Bengaluru on 3 November 2026. The research, based on a survey of 700 employees and 75 senior executives, also finds that most Indian companies are yet to turn those gains into lower costs or new revenue.

The findings echo a pattern seen in other recent surveys, including an Avanade report showing most Indian firms are yet to see AI returns. Cognizant’s study puts a national economic number on that gap for the first time.

What the Cognizant AI study estimates for India’s GDP

Cognizant (Nasdaq: CTSH) modelled how AI-driven productivity could flow into national output. The headline estimates are:

• $28 billion to $84 billion in additional annual nominal GDP under realistic near-term adoption scenarios
• A theoretical upper bound of $830 billion a year, assuming AI is adopted across the entire workforce and every productivity gain translates into output
• An average reported productivity uplift of 15%, with 97% of surveyed employees reporting some improvement from AI

The company stresses that all GDP figures are modelled, directional estimates based on self-reported survey responses, and that the $830 billion figure should not be read as a forecast. The survey covered companies with revenues from $100 million to over $10 billion across 10 industries.

Which sectors gain most from AI productivity

Healthcare leads, with 38% of employees reporting productivity gains above 20%. It is followed by communications (31%), technology (28%), banking (28%) and retail and consumer goods (18%). Manufacturing has the lowest share of employees reporting any gain, at 82%, though 27% there expect gains above 20%.

Indian workers also appear better prepared than their global peers: 74% have completed AI training, compared with 56% globally. Business leaders, however, say only 36% of employees on average have access to AI tools at work.

Why productivity is not yet showing up in profits

The study’s most striking finding for CIOs is the gap between individual productivity and enterprise results. While 35% of leaders report workforce productivity gains, 84% have not yet seen AI lower costs, 91% report no revenue impact, and 37% have paused or stopped AI initiatives because the return on investment was unclear. That mirrors Dun & Bradstreet’s finding that only 3% of Indian firms have AI-ready data.

On the positive side, 79% of senior leaders say their own technology infrastructure is speeding up AI rollout, and 68% see India’s national infrastructure as an accelerator.

“India has a strong foundation to capture greater value from AI. Realizing this potential will require adoption of AI tools across enterprises, continued investment in skilling, and an enabling environment for responsible AI at scale,” said Rajesh Varrier, President, Global Operations and Chairman and Managing Director, Cognizant India, in the company’s announcement.

What it means for Indian enterprises

Cognizant recommends that organisations widen access to AI tools, keep investing in skilling, extend AI into more complex and higher-value work, and measure business outcomes more rigorously. The study adds to the company’s recent India AI push, including its plan to put 25,000 professionals behind OpenAI in a new Frontier capability group and its reported talks to invest in sovereign AI startup Sarvam.

Key takeaways

• Cognizant estimates AI productivity could add $28 billion to $84 billion a year to India’s GDP; $830 billion is a theoretical ceiling, not a forecast.
• 97% of surveyed Indian employees report AI productivity gains, averaging 15%, and 74% have completed AI training.
• 91% of leaders report no revenue impact yet, and 37% have paused AI projects over unclear ROI.

FAQ

How much could AI add to India’s GDP, according to Cognizant?

Cognizant’s study estimates $28 billion to $84 billion in additional annual nominal GDP under realistic adoption scenarios, with a theoretical upper bound of $830 billion.

Who was surveyed for the Cognizant AI study?

The study surveyed 700 enterprise employees and 75 C-suite and business executives in India across 10 industries, at companies with revenues from $100 million to over $10 billion.

Featured image: Rajesh Varrier, Chairman and Managing Director, Cognizant India. Photo: Reuters/Francis Mascarenhas

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