Subject: Economics

Mentor Comment

This article highlights the shift from “innovation-led growth” to “innovation-led global leadership.” For UPSC, do not restrict the discussion to R&D or startups. Link it with Atmanirbhar Bharat, Make in India, Startup India, India Semiconductor Mission, National Quantum Mission, IndiaAI Mission, Digital Public Infrastructure (UPI, Aadhaar, ONDC), Ease of Doing Business, and Industrial Policy.

Why in the News?

India is launching major technology missions in semiconductors, artificial intelligence, quantum computing, and space. India’s prior experience with early-mover technologies — semiconductors in the 1970s, indigenous computing in the 1980s, and the Simputer in 1998 — shows a consistent pattern of abandoning innovations before they reach global commercial scale.

Why has early technological leadership repeatedly failed to produce globally dominant Indian industries?

• SCL and the semiconductor gap: India established Semiconductor Complex Limited (SCL) in the 1970s, but limited capital, small manufacturing scale, inconsistent policies, and a public sector focus prevented the creation of a competitive semiconductor ecosystem.
• ECIL and the strategic-commercial divide: Established in 1967, ECIL developed indigenous computers and control systems under technology embargoes. However, its emphasis on strategic self reliance rather than market competition limited industrial expansion.
• Simputer and ecosystem constraints: The Simputer (1998) anticipated many smartphone features, but inadequate venture capital, weak component supply chains, limited software platforms, and a small consumer market prevented global scaling.
• Structural pattern: The recurring challenge was not a lack of innovation but weak commercialisation, insufficient capital mobilisation, and underdeveloped innovation ecosystems.
• Apple as a counterfactual: Apple converted a similar computing vision into a global technology leader through integrated hardware, software, and supply chain capabilities, highlighting the scaling infrastructure India lacked.

Where has India demonstrated successful technology scaling, and what conditions enabled it?

• Pharmaceuticals: India emerged as the “pharmacy of the world” and a leading vaccine producer through process innovation, cost efficiency, and export orientation.
• Supercomputing (PARAM): The PARAM programme showed that sustained public investment with clear performance goals can build globally recognised indigenous capabilities.
• Aadhaar and UPI: Built for nationwide scale, these digital public infrastructures transformed identity and payments, promoted financial inclusion, and became global models.
• Scaling mechanism: Success came when technologies were designed for mass adoption rather than limited institutional use, creating ecosystems that generated industries and global impact.
• Frugal innovation advantage: Missions like Chandrayaan and Mangalyaan proved that cost effective engineering can deliver world class outcomes, offering a strong model for future AI, semiconductor, and quantum technologies.

What do international examples reveal about the institutional conditions required to convert technological invention into dominant industries?

• Taiwan (TSMC): Taiwan created a dedicated semiconductor foundry model backed by sustained state industrial policy, long-term capital, and export-orientation from the outset. TSMC now holds over 50% of the global foundry market — built on the same window India identified in the 1970s.
• South Korea (Samsung): South Korea used state-directed credit, mandatory technology transfer conditions in foreign investment, and chaebol-scale domestic investment to build Samsung’s semiconductor and electronics empire. Strategic intent was matched with commercial ambition.
• United States (AI and space commercialisation): The US transitioned defence and research investments into commercial platforms through procurement policy, deep venture capital markets, and university-industry linkages. NASA’s Commercial Crew Programme is an example of public mission enabling private scaling.
• The common design feature: In each case, the state defined a commercial outcome — not only a technical capability — as the measure of success. Public funding was structured to de-risk private investment rather than substitute for it.
• Limitation of the comparison: These examples developed within large domestic or allied-market demand bases. India’s scaling challenge is to build global demand for Indian-origin platforms, which requires a different export and partnership strategy.

What institutional and policy conditions must India establish for the current technology missions to produce globally competitive enterprises rather than repeating the earlier pattern?

• Redefine the success metric: Public technology missions must measure success by commercial market share and global deployment, not by indigenous capability certificates or pilot completions.
• Capital architecture: Venture capital, patient institutional capital, and public de-risking mechanisms must operate together. Scientific excellence funded without a commercialisation pathway reproduces institutional silos.
• Ecosystem design from day one: Supply chains, software platforms, developer communities, and consumer or enterprise markets must be designed into missions at inception, not added after technical milestones are achieved.
• Mandate commercial accountability in public institutions: Institutions such as C-DAC, ISRO’s commercial arm, and any new semiconductor entity must carry explicit commercial performance obligations alongside strategic mandates.
• Quantum and healthcare applications: For quantum computing, the competitive advantage lies in reducing infrastructure costs and developing practical applications in drug discovery, materials science, and climate modelling domains, where India has existing scientific depth.

Conclusion

India’s technology history does not reveal a failure of scientific capability. It reveals a consistent failure to build the commercial ecosystems, capital structures, and institutional mandates required to scale invention into globally competitive industries. The countries that will lead the next technological era may not be those that invent first. They will be those that scale fastest. India’s current missions in AI, semiconductors, quantum computing, and space represent a second opportunity to claim the leadership positions it identified and then vacated in earlier technology cycles. Seizing that opportunity requires replacing the measure of self-reliance — from technical capability achieved to global market position built.