The Productivity Paradox
A recent study by Cognizant surveyed 700 employees and 75 senior executives in India, uncovering a fascinating trend. An overwhelming 97% of employees reported a productivity boost from using AI tools, with the average gain being around 15%. Indian workers
are also proactively preparing for this shift, with 74% having completed AI training, a figure significantly higher than the global average of 56%. These findings suggest a workforce that is ready and willing to integrate AI into their daily tasks. The potential economic impact is substantial, with Cognizant's models estimating that AI could add between $28 billion and $84 billion to India's annual GDP in the near term under realistic adoption scenarios.
The Missing Financial Impact
Despite the optimism on the ground, the view from the executive suite tells a different story. The same Cognizant study found that a staggering 91% of business leaders reported no revenue impact from AI, and 84% had not seen it lower costs. This disconnect is so pronounced that 37% of firms have paused or even stopped their AI initiatives due to an unclear return on investment (ROI). This isn't an isolated finding. Separate reports from Avanade and Kyndryl echo this sentiment, noting that while Indian firms are leaders in AI adoption and confidence, a majority struggle to justify the expense, with many AI pilots stalling after the proof-of-concept stage.
Why Is Measuring AI Returns So Hard?
Several factors make calculating AI ROI a complex challenge. Firstly, there is the attribution problem: AI rarely works in isolation. Its benefits are often intertwined with other business changes, making it difficult to pinpoint AI as the sole reason for an improvement. Secondly, many companies focus on activity metrics (like tasks automated) rather than outcome metrics (like increased revenue or customer satisfaction). Furthermore, the full cost of AI is often underestimated. Beyond the initial setup, there are ongoing expenses for infrastructure, data management, model monitoring, and governance that are not always factored into the ROI equation. Finally, integrating AI with legacy systems is a major hurdle, with 48% of Indian respondents in one survey citing it as a key challenge.
The Gap Between Access and Ambition
The Cognizant report reveals another critical issue: a gap between workforce readiness and enterprise-wide adoption. While employees are trained and eager, leaders estimate that, on average, only 36% of their workforce actually has access to AI tools. This suggests that AI deployment is often happening in pockets rather than being a core, accessible part of the business infrastructure. Even when infrastructure is considered modern, many firms find it isn't sufficient for scaling AI, requiring significant re-architecture. Until access is broadened and AI is more deeply integrated into workflows, the productivity gains seen at the individual level will struggle to translate into enterprise-level financial results.
Looking Beyond Immediate ROI
The struggle to measure immediate financial returns may be causing firms to overlook other valuable benefits. Experts suggest that a narrow focus on cost reduction misses the bigger picture. AI can deliver significant qualitative gains that are harder to quantify but crucial for long-term success. These include improved employee experience, faster innovation cycles, enhanced decision-making quality, and a more agile business. For many organisations, the true value of AI might not be in doing the same things cheaper, but in creating entirely new capabilities and services that drive future growth. The challenge for Indian leaders is to adopt a more holistic view of value, tracking both direct financial metrics and these softer, strategic advantages.
