Indian companies are embracing artificial intelligence with remarkable enthusiasm. Yet, a recent study from Cognizant reveals a striking paradox: while employees feel more productive, a vast majority of firms are flying blind on financial returns.
The Productivity Perception Gap
The
central finding of Cognizant's research is a tale of two different experiences. At the ground level, employees are seeing clear benefits. A staggering 97% of employees surveyed in India reported some level of productivity improvement from using AI, with an average reported gain of 15%. However, this personal productivity boost is not translating into measurable business success. The study found that 91% of business leaders reported no impact on revenue, and 84% had not seen AI lower their operational costs. This disconnect highlights that simply giving employees AI tools doesn't automatically lead to a healthier bottom line.
The Challenge of Turning Time Saved into Value
One core reason for the gap is the difficulty in converting 'time saved' into tangible economic output. For example, an employee might use AI to draft a report in half the time, but if that report then sits in the same approval queue for the same amount of time, the overall business process hasn't become more efficient. The study suggests that for gains to be realised, AI needs to be extended into more complex, higher-value work rather than just speeding up isolated tasks. This requires a deeper integration of AI into core business workflows, not just using it as a bolt-on productivity tool.
Unclear Strategy and Lack of Ownership
Many firms have dived into AI without a clear plan for what success looks like. Without defined business goals and key performance indicators (KPIs), measuring return on investment (ROI) becomes nearly impossible. In fact, the Cognizant study found that the unclear ROI led 37% of firms to pause or even stop their AI initiatives altogether. Other research supports this, showing that very few organisations comprehensively measure AI returns, often focusing on vanity metrics like usage instead of business outcomes like output quality or cost reduction. A lack of clear ownership is also a major hurdle; unless a specific leader has the authority and budget to drive an AI strategy, projects often remain stuck in the pilot phase.
The Persistent Skills and Access Gap
While Indian employees are proactive in their preparation for AI—with 74% having completed AI training compared to 56% globally—access to the tools themselves remains limited. Business leaders in the Cognizant study estimated that, on average, only 36% of their employees actually have access to AI tools. This points to a bottleneck where a trained and willing workforce is unable to fully leverage AI because it hasn't been deployed at scale. Furthermore, other studies indicate that integrating AI with existing legacy systems and overcoming data limitations are significant barriers for many Indian companies. Simply put, you cannot measure the return on a tool that a majority of your workforce cannot use.
From Experiment to Enterprise-Wide Value
The journey from a successful AI pilot project to an enterprise-'wide system that generates value is where most organisations stumble. One report found that 59% of Indian companies are stuck in this 'frozen middle', unable to scale their AI initiatives. The reasons are multifaceted, ranging from a failure to pass internal IT and security evaluations to a lack of governance and updated internal controls. The Cognizant study's finding that firms are not seeing financial returns is a direct symptom of this scaling problem. Individual productivity gains are valuable, but they only create significant enterprise value when AI is woven into the very fabric of how a business operates, with clear metrics tracking its impact along the way.
