Finance Minister Nirmala Sitharaman on Tuesday said artificial intelligence, semiconductors and quantum technologies represent the next major frontier for India, urging the country to accelerate efforts to build the hardware, skills and institutional ecosystem needed to harness them. Her remarks, delivered at a fireside chat organised by the IIT Madras Alumni Association, come at a time when India is trying to move beyond software-led technology leadership and establish a stronger position in the capital-intensive deep-tech stack.
Deep-Tech Imperative
Sitharaman's comments reflect a growing recognition in New Delhi that the next phase of technology competition will not be won by software alone. AI systems increasingly depend on advanced chips, specialised compute infrastructure, data pipelines and research institutions that can translate scientific breakthroughs into commercial products. Quantum technologies, meanwhile, remain at an early stage globally, but are already being viewed by governments as strategic assets with implications for cybersecurity, communications, materials science and defence.
For India, the challenge is not merely to adopt these technologies, but to build the underlying capacity to design, manufacture and deploy them at scale. That means expanding domestic semiconductor capabilities, strengthening university-industry links, and creating a talent base that can work across chip design, machine learning, photonics, quantum algorithms and advanced manufacturing. Sitharaman's framing suggests the government sees these areas as interconnected rather than isolated sectors.
Startup Opportunity
The finance minister's remarks also carry significance for India's startup and venture capital ecosystem, which has increasingly turned toward deep-tech bets after years dominated by consumer internet, fintech and software-as-a-service. AI startups have attracted the bulk of recent investor attention, but the hardware and infrastructure layers remain comparatively underfunded because they require longer gestation periods, more patient capital and closer collaboration with research institutions.
Semiconductors are especially relevant to this shift. India has long been a global powerhouse in chip design services, but it has lacked a large-scale domestic manufacturing base. That gap has become more visible as countries around the world race to secure supply chains, localise strategic production and reduce dependence on concentrated manufacturing hubs. Any serious push into AI at scale will also require greater access to compute, which in turn depends on chip availability and advanced packaging capabilities.
Quantum technology presents a different but equally important opportunity. While commercial applications are still emerging, countries that establish early research and talent advantages could shape future standards and industrial use cases. For startups, that opens a window in niche areas such as quantum software, sensing, secure communications and enabling hardware, though the sector will likely need sustained public support before it becomes commercially self-sustaining.
Building The Stack
Sitharaman's emphasis on hardware, skills and institutions points to the central policy challenge: India must build an ecosystem, not just announce ambitions. Hardware ecosystems require fabrication, testing, supply-chain depth and standards. Skills ecosystems require universities, labs and industry to produce engineers and researchers who can work across disciplines. Institutional ecosystems require funding mechanisms, procurement pathways and regulatory clarity that can help startups survive the long runway between lab and market.
That is particularly important for deep-tech founders, who often struggle to raise capital in India because their businesses do not fit the faster-return model that has powered much of the country's startup boom. If India wants to compete in AI infrastructure, semiconductor design and quantum research, it will need more than headline-grabbing policy statements. It will need procurement support, public research funding, specialised incubators and stronger links between academia and industry.
The political timing of Sitharaman's remarks is also notable. India has been positioning itself as a trusted technology and manufacturing destination amid global supply-chain realignments, and deep-tech capability is increasingly seen as part of that pitch. The government has already signalled interest in semiconductor manufacturing and advanced technology development, but the finance minister's comments suggest the next phase will be judged by execution rather than intent.
For startups and venture investors, the message is clear: the opportunity set is widening, but the bar is rising. The next wave of Indian technology leadership may be defined less by app-based disruption and more by the ability to build the systems, chips and scientific tools that power the digital economy itself.