India’s growing appetite for artificial intelligence is turning heads globally. Yet, becoming the world’s largest market for an AI tool is only the beginning of a much larger ambition: becoming a country that builds, shapes and derives lasting value from it.
There is something rather interesting about India’s growing relationship with artificial intelligence. A country that once had to catch up with successive waves of technology is now emerging as one of the most enthusiastic adopters of the latest one. In a recent conversation with Indian podcaster Raj Shamani, OpenAI CEO Sam Altman observed that India had overtaken the United States to become ChatGPT’s largest market by users. He also described Indians as unusually positive about AI, contrasting their enthusiasm with the more sceptical attitudes he encounters in the US. It is an observation worth examining beyond the headline.
India’s willingness to embrace technology has rarely been confined to curiosity. From digital payments to e-commerce, the country has repeatedly demonstrated an ability to take emerging technologies and make them part of everyday life. AI appears to be following a similar trajectory. OpenAI reported more than 100 million weekly ChatGPT users in India in February 2026. But while the numbers signal a remarkable shift, they also invite a more consequential question: Is India merely becoming a large market for artificial intelligence, or is it preparing to become a force that shapes its future?
The distinction matters because adoption, however impressive, is not the same as leadership. India’s digital familiarity, expanding startup ecosystem, technology talent and entrepreneurial appetite give it a considerable advantage. AI is lowering the cost of experimentation and making capabilities once reserved for specialised teams accessible to individuals and smaller businesses. A student can explore a complex subject, an entrepreneur can test a business idea and a small enterprise can automate tasks that previously demanded considerable time and resources. This democratisation of capability is perhaps one of AI’s most consequential promises for a country like India.
The broader ecosystem is showing encouraging signs too. Stanford’s 2025 Global AI Vibrancy assessment ranked India third globally, while the government’s reported NASSCOM AI Adoption Index places enterprise adoption at 2.45 on a four-point scale, with 87% of enterprises actively using AI solutions. Yet, there is a difference between having access to powerful tools and developing the capabilities to use them meaningfully. A country can lead in downloads, registrations and experimentation without necessarily leading in research, innovation or the creation of intellectual property. The more interesting measure of progress is not how quickly AI enters our lives, but how significantly it changes what we are capable of doing.
This is where the enterprise story becomes particularly important. AI has entered boardroom conversations, technology roadmaps and everyday workflows, but the distance between experimentation and transformation remains considerable. EY’s 2025 Work Reimagined Survey found that 62% of Indian employees regularly use generative AI at work, while 86% reported a positive impact on productivity. These are encouraging indicators, but productivity is an easy word to use and a harder one to measure. Saving an employee an hour on a presentation is useful; fundamentally improving how an organisation serves its customers, manages risk or makes decisions is something else.
The next phase of enterprise AI will be determined by the ability to move beyond scattered pilots and embed intelligence into the way businesses operate. That requires organisations to revisit processes, address fragmented data, invest in infrastructure and, perhaps most importantly, reconsider how work itself is organised. It also demands a change in leadership thinking. AI cannot remain the responsibility of the technology department when its implications extend to strategy, finance, human resources, operations and customer experience. The question for business leaders should no longer be whether their organisation is using AI. It should be whether the organisation is becoming meaningfully better because of it.
There is, however, a cost to moving too quickly without asking the right questions. The enthusiasm surrounding AI can sometimes make caution appear like resistance, when in reality, the two need not be mutually exclusive. Data privacy, cybersecurity, algorithmic bias, accountability and the reliability of AI-generated outputs are not peripheral concerns to be addressed once adoption gathers pace. They are fundamental to whether that adoption can be trusted and sustained. This is especially relevant for sectors such as banking, healthcare and critical infrastructure, where an incorrect output or an inadequately governed system can have consequences far beyond operational inconvenience.
India’s evolving data protection framework and growing attention to responsible AI are important steps, but meaningful governance must extend into the everyday decisions organisations make about deploying these systems. There is also a larger strategic consideration. Much of India’s present AI enthusiasm is centred on tools and models built elsewhere. Access to global platforms is valuable, but it cannot be the entirety of the ambition. Long-term technological influence will depend on the ability to invest in indigenous research, computing capacity, talent, model development and intellectual property. India’s scale and diversity offer a compelling environment to develop solutions for challenges in agriculture, healthcare, education, financial inclusion and public services. But translating that potential into innovation will require more than a receptive market. It will require sustained investment, collaboration and the willingness to build capabilities that may take years to mature.
Perhaps, then, Sam Altman’s observation should be seen less as a victory lap and more as an invitation to think about what comes next. India has demonstrated that it is willing to embrace artificial intelligence, often with an enthusiasm that more mature technology markets could learn from. But being the largest audience for a technology is not the same as having the greatest influence over its direction.
The real opportunity lies in turning curiosity into capability, access into innovation and adoption into measurable economic and social progress. That will require businesses to look beyond the novelty of AI, educational institutions to prepare people for a different relationship with work, policymakers to balance innovation with accountability and the technology ecosystem to invest in building rather than simply consuming. India’s AI story is still being written. The opening chapter has been about adoption, and it is an impressive one. The chapters that follow must be about ambition, ownership and impact. The world knows India is enthusiastic about AI. The more important question is whether India can make the world take notice of what it builds with it.
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