AI in India has moved way past buzzwords and conference panels. It is now being funded, deployed, and measured inside real organisations. Companies are using AI to analyse data, automate routine tasks, improve customer experiences, and speed up decision-making. Research has found AI handles roughly a quarter of business tasks today, and that share is expected to rise significantly in the next two years.
There's no shortage of enthusiasm. Leadership teams are supportive, investments are rising, and early results are encouraging. But beneath all that momentum lies a quieter truth: India's AI future will depend not on ambition, but on execution. Across industries, AI is becoming central to how businesses create value. Research has found today AI supports about 23% of business tasks. In two years, that is expected to rise to 41%.
This gap - between conviction and coherence - will shape how effectively India converts AI enthusiasm into sustained economic advantage.
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The Real Question: What Must AI Stand On?
A broader debate continues globally. Some question whether AI's economic promise is overstated. Others argue that increasingly capable models will reduce reliance on traditional enterprise systems altogether. But both perspectives overlook a structural reality.
Agentic AI does not operate in isolation. Autonomous systems require accurate business data, clearly defined rules and workflows, security and compliance controls, secure integration layers, and reliable systems of record. These elements provide the operational context within which AI acts. Without them, agents risk operating on incomplete or inconsistent data, generating flawed outputs, or breaching regulatory and policy boundaries.
In simple terms, AI still needs a trusted enterprise environment to execute decisions safely and correctly. This is why the conversation cannot be reduced to discussing model capability alone. Productivity gains may emerge from layering AI onto fragmented systems, but sustained advantage comes from embedding intelligence into a structured enterprise architecture where processes, data, and governance are aligned.
The real winners will be those who combine ambition with discipline.
Why India Is Positioned Strongly for the Next Phase
India's advantage in this transition lies in the depth and breadth of its digital ecosystem. With over 600,000 professionals, India accounts for approximately 16% of the global AI talent pool, one of the largest concentrations in the world. This scale provides not only technical capability, but also the capacity to deploy AI solutions across sectors at speed.
Beyond talent, India hosts a vast network of Global Capability Centres (GCCs) that design, build, and operate mission-critical systems for multinational enterprises. These centres manage complex, real-time enterprise workflows across industries, developing the integration expertise and operational discipline that agentic AI demands.
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India's Digital Public Infrastructure (DPI) has also demonstrated the ability to operate population-scale digital platforms with reliability, interoperability, and governance. Finally, Indian enterprises have decades of experience modernising legacy environments, integrating complex technology stacks, and running global operations through shared digital backbones.
Embedding AI into core systems is not simple; it is an engineering, integration, and governance challenge. Luckily in India, these institutional capabilities already exist at scale. Together, these factors position India not just as an enthusiastic adopter of AI, but as capable of aligning intelligence with enterprise architecture.
From Momentum to Institutional Advantage
India's AI trajectory will ultimately be determined less by the pace of experimentation and more by the quality of structural alignment. Investment intent is strong, leadership attention is sustained, and technical capability is deep.
The defining challenge now is ensuring that AI uses data from across the organisation, trusted systems of record, and governance mechanisms robust enough to support autonomous decision-making.
India stands at a rare moment of technological opportunity. The talent is here. The digital ecosystem is strong. Enterprises are ready. If execution keeps pace with ambition, India will not just use AI. It will help define how the world operationalises it.
This article is authored by Manish Prasad President & Managing Director, SAP India.
Disclaimer: The views expressed in this article are solely those of the author and do not necessarily reflect the opinion of NDTV Profit or its affiliates. Readers are advised to conduct their own research or consult a qualified professional before making any investment or business decisions. NDTV Profit does not guarantee the accuracy, completeness, or reliability of the information presented in this article.
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