India should treat artificial intelligence, semiconductors and quantum technology as its next major strategic investment frontier, Finance Minister Nirmala Sitharaman said on Saturday, framing the country's technology ambitions not simply as a matter of innovation policy but as a broader economic and industrial imperative.
Speaking at a fireside chat organized by the IIT Madras Alumni Association in Bengaluru, Sitharaman said India must move faster to build the hardware base, skilled workforce and institutional support needed to harness emerging technologies that are increasingly shaping global competitiveness. Her remarks come at a time when countries around the world are racing to secure leadership in AI computing capacity, chip manufacturing and advanced research ecosystems, while also trying to translate those capabilities into industrial productivity, defense applications and startup growth.
"Things are happening in India in AI, but the magazines and newspapers largely from abroad -- Oh, India's missed the AI bus," Sitharaman said, directly challenging a narrative that has gained traction internationally. She suggested that one reason for that perception is the limited visibility of Indian AI firms on public stock exchanges such as the National Stock Exchange of India and the Bombay Stock Exchange.
According to the minister, the absence of a significant cluster of listed AI companies has distorted how India's progress is viewed from outside. She said several AI startups in India had already become unicorns or were close to reaching that valuation threshold, even if they were not yet represented in the stock market in a way that would make them more legible to global investors, analysts and media.
Sitharaman acknowledged that startups often hesitate to list because of the compliance burden involved, but she argued that public listing also carries important benefits, including visibility, credibility and a stronger signal to the world that capital, institutions and innovation are gathering around a sector. "The cluster of listings" belongs to the AI domain, she said, adding that if more such companies were in the stock market, outside observers might better recognize that "a lot of things are happening, funding is available, and institutions are coming up to fund."
Her comments reflected a broader concern about how India's technological rise is measured. "India is not lost on AI or quantum. Maybe 'just not in the stock market' cannot be an adequate measure to see what's happening here. But mind you, that's the world. We have to have these narratives also addressed, retorted, and maybe, to get the best out of the world, get yourselves listed also where you can," she said.
At the core of Sitharaman's message was a call for deeper and more practical investment. She said India's AI ecosystem, while active, still requires much greater support in the form of computing hardware, educational capacity and continuous skilling. In a global environment where some policymakers and technologists have urged caution over the pace of AI development, Sitharaman made clear that India's priority remains expansion rather than restraint.
"Despite the call for slowing down the speed with which innovators are coming up in the AI field, I'll still think, for India, from where it is, we still need a lot more investment towards bringing in that kind of hardware and bringing in that kind of teachers to institutions which have to constantly upgrade and keep imparting AI-based knowledge, adaptability of AI into very many sectors," she said.
That emphasis on adaptability across sectors is particularly significant for India's vast base of micro, small and medium enterprises. Sitharaman said MSMEs, spread across a wide range of manufacturing activities, increasingly need AI tools to improve productivity and remain competitive against peers in other countries. The implication is that AI policy in India is no longer being framed solely around elite research labs or consumer internet startups, but around broader industrial modernization.
"So investment in AI is definitely the next frontier. At what stage and at what level is something which I want both academia and industry to say," she said, indicating that the debate should now center on the scale and sequencing of investment rather than on whether India should commit to the technology at all.
She widened that argument beyond AI, saying the next large wave of infrastructure investment would be in AI systems, semiconductor chips and the development of quantum technology. In doing so, she linked three domains that are increasingly seen as mutually reinforcing: AI requires computing power and specialized chips; semiconductor capacity is central to technological sovereignty; and quantum research, though still emerging, is viewed as a long-term strategic capability with implications for computing, communications and national security.
Sitharaman stressed that building strength in these areas would require closer collaboration between academia and industry, a recurring challenge in India's innovation landscape. Her venue itself underscored that point: speaking before an audience connected to one of India's premier engineering institutions, she effectively called for a tighter pipeline between research, talent development, commercialization and capital formation.
The minister also pointed to defense production as another area ripe for investment, especially in newer technologies such as drones and unmanned systems. That reference suggests the government sees overlap between civilian technology ecosystems and strategic manufacturing, with AI, chips and autonomous systems likely to play a growing role in both economic policy and national capability.
Taken together, Sitharaman's remarks amounted to a clear signal that India's next technology push will not be judged only by software services or digital adoption, areas where the country has already built global recognition. Instead, the focus is shifting toward deeper technological capacity: owning more of the hardware stack, training more specialized talent, strengthening institutions and creating enough visible market depth to shape global perceptions.
Her intervention also highlighted a tension that has become increasingly important for India's startup economy. On one hand, the country wants to project itself as a serious player in frontier technologies. On the other, many of its most promising firms remain private, making it harder for public markets to reflect the scale of domestic innovation. For policymakers, that gap is not merely symbolic. It affects narratives, investor confidence and the international understanding of where India stands in the race for the next generation of technologies.
In Bengaluru, Sitharaman's message was that India has not missed that race. But to prove it convincingly to the world, she suggested, the country must now invest more heavily, build faster and make its technological progress more visible.