Experts say that India is behind China in deep tech innovation due to its historical focus on services, lower R&D investment, and a brain drain of AI talent
India's government urges the private sector to take the lead in tech innovation, while industry experts say it's complicated. Bluesky: @restofworld.org and @rinachandran X: @furquansid , @restofworld , and @nit_set . LinkedIn: Furquan Ameen Bluesky: @restofworld.org : India is concerned about lagging behind China in tech innovation, particularly in manufacturing and AI. This gap is attributed to a focus on services over manufacturing, lower investment in research and development, and brain drain. — Full report: Rina Chandran / @rinachandran : China's big DeepSeek moment has triggered unease for India's government and tech industry. Here's why India fell behind China in tech innovation, and how the government thinks it can catch up: @restofworld.org — restofworld.org/2025/india-f... X: Furquan Ameen / @furquansid : Has India missed its DeepSeek moment? Did it miss the AI bus already? Why does it lag so far behind? China's Deepseek unleashed a wave of introspection within India's tech and policy circles. I tried to make sense of all the fomo around it @restofworld : Why India fell behind China in tech innovation @furquansid reports on what went wrong and how the Indian government thinks it can catch up https://t.co/... Nitin Sethi / @nit_set : A very handy read on what has gone wrong with India's tech chase. Why it's lagging behind China. By @furquansid 👇🏾 LinkedIn: Furquan Ameen : Has India missed its DeepSeek moment? — Did it miss the AI bus already? — Why does it lag so far behind China? …
Context & Ripple Effects
India’s concern follows earlier coverage that cast DeepSeek as a prompt for India to reconsider support for foundational technology, with private-sector risk appetite seen as insufficient on its own: the call for state-backed foundational-tech research.
The concern is not only about AI models but about the innovation base behind them: a later funding snapshot found deep-tech startups accounted for a small share of Indian startup financing, reinforcing the reported mismatch between services-led growth and long-horizon R&D: deep tech’s limited share of startup funding.
First-order effects
- India’s government and technology industry face sharper pressure to explain how private-sector-led innovation will address the reported deficits in R&D, manufacturing capability, and AI-talent retention.
- Indian deep-tech founders and researchers become the immediate focal point of that debate, as their ability to secure patient capital and remain in the domestic ecosystem is presented as central to narrowing the gap.
Second-order effects
- A stronger push toward deep tech could redirect attention and capital away from service-oriented startup models toward research-intensive AI and manufacturing ventures, where commercialization cycles are longer and risk is higher.
- China’s DeepSeek-led benchmark raises the competitive bar for Indian firms seeking talent, investment, and credibility in foundational AI; it also strengthens the case for public support where private incentives remain limited.
Third-order effects
- If the gap persists, India’s AI role may be shaped more by adoption and services than by ownership of foundational technologies and their industrial supply chains.
- The broader policy question is whether India can build a durable state-private research model rather than relying on either government exhortation or private capital alone; the available coverage shows that transition remains unresolved.
The trend: This is one data point in the shift toward state-supported, industrially grounded AI strategies as countries seek to turn AI talent and demand into domestic technological capacity.