A new study from Cognizant offers a detailed look at how artificial intelligence is reshaping India's workplaces. Released in early November, the report details significant productivity gains but also highlights a critical gap between potential and reality.
The Big Picture: Billions in Potential GDP Growth
At the heart of the Cognizant study is a striking economic projection: under realistic adoption scenarios, AI-enabled productivity could add between $28 billion and $84 billion to India's annual GDP. This figure depends on how widely businesses integrate AI and how effectively individual productivity gains translate into measurable economic output. The research, which surveyed 700 employees and 75 senior executives across 10 industries, also presented a theoretical upper limit of $830 billion in additional annual GDP if AI were adopted across the entire workforce. However, Cognizant clarifies this larger number is not a forecast but a measure of the total potential prize.
Employee Gains vs. Executive Concerns
The study reveals a fascinating disconnect between employee experience and executive perspective. An overwhelming 97% of surveyed employees in India reported experiencing productivity improvements after using AI, with the average increase being 15%. Many workers are actively preparing for this shift, with 74% having completed AI training, a figure significantly higher than the global average of 56%. Despite these positive reports from the ground level, business leaders are more cautious. A staggering 91% of executives reported no impact on revenue from AI initiatives, and 84% had not seen AI reduce costs. This has led 37% of firms to pause or even halt AI projects due to an unclear return on investment.
An Adoption and Access Gap
One of the core challenges identified is the gap between workforce readiness and tool accessibility. While employees are trained and reporting efficiency gains, leaders estimate that only 36% of their workforce currently has access to AI tools. This suggests that the full potential of AI is being held back by limited deployment within organisations. The top use cases identified by employees who do have access include data analysis, research and summarization, and trend forecasting. The study suggests that providing broader and more customised access to AI tools could directly boost productivity even further, closing the gap between the current gains and the much larger potential.
How Different Sectors Are Faring
The impact of AI is not being felt evenly across all sectors of the Indian economy. Healthcare is leading the charge, with 38% of employees in the sector reporting productivity gains of more than 20%. The communications industry follows at 31%, with technology and banking both at 28%. In contrast, the retail and consumer packaged goods sectors saw just 18% of employees reporting such high gains. Manufacturing reported the lowest share of employees seeing any productivity gain at 82%, but among those who did, 27% expected gains of over 20%, indicating significant potential for improvement.
The Path Forward for Indian Businesses
According to Cognizant, the findings point to a clear roadmap for the future. The company stresses the need for organisations to broaden access to AI tools, continue investing in workforce skilling, and develop better methods for measuring business outcomes. Rajesh Varrier, Chairman and Managing Director of Cognizant India, noted that realizing AI's potential requires 'an enabling environment for responsible AI at scale'. The challenge for Indian businesses is to bridge the gap between individual employee productivity and tangible enterprise_level returns like cost reduction and revenue growth. Success will depend on moving beyond isolated use cases to strategic, widespread integration of AI across all operations.
