India's Innovation Imperative: Beyond 'Jugaad' to a Frontier Tech Ecosystem
As global technology becomes more contested, India faces a critical choice: move from improvisational problem-solving to building a deep, structural ecosystem for creating world-leading technology. Here’s what that entails.
The Pre-requisite: Understanding India's Innovation Landscape
To grasp the debate around India's technology future, a foundational understanding of its historical context and institutional architecture is essential. The conversation has moved beyond celebrating low-cost, frugal innovation to questioning why India has not yet produced globally dominant technology corporations, especially in hardware and deep science.
(1) KEY TERMS
- Frontier Technology: Potentially disruptive technologies in early development stages with the potential for significant societal impact. Examples include advanced Artificial Intelligence (AI), quantum computing, next-generation semiconductors, and synthetic biology.
- Deep Tech: A subset of frontier technology, deep tech involves ventures founded on tangible scientific discoveries or engineering innovations. They often require substantial long-term R&D and large capital investments, unlike many software or e-commerce businesses.
- Venture Capital (VC): A form of private equity financing that investors provide to startups and early-stage companies deemed to have high growth potential. VCs accept significant risk in the hope of generating significant returns.
- Jugaad Innovation: A colloquial Hindi term for non-conventional, frugal, and flexible problem-solving. While celebrated for its resourcefulness, it is often contrasted with the systematic, research-driven innovation required for building frontier technology.
(2) BACKGROUND & TIMELINE
The policy focus on innovation is a relatively recent, though accelerating, phenomenon.
- 1990s-2000s: The post-liberalisation era saw the rise of India's IT services industry, establishing the country as a global talent hub focused on services and outsourcing rather than original product or IP creation.
- January 16, 2016: The Government of India launched the Startup India initiative. This flagship program aimed to build a strong ecosystem for startups through tax benefits, simplified compliance, and a Fund of Funds for Startups (FFS).
- 2016: The Atal Innovation Mission (AIM) was established under NITI Aayog to foster a culture of innovation and entrepreneurship, with key initiatives like Atal Tinkering Labs (ATLs) in schools.
- July 2023: The Union Cabinet approved the introduction of the National Research Foundation (NRF) Bill, 2023, in Parliament to seed, grow, and promote R&D across India's universities and colleges.
- August 2023: The Ministry of Science and Technology released the draft National Deep Tech Startup Policy (NDTSP) for public consultation, signalling a focused policy push towards capital-intensive, high-risk technology ventures.
(3) INSTITUTIONAL FRAMEWORK
Several government bodies are central to shaping and implementing India's innovation policy.
- Department for Promotion of Industry and Internal Trade (DPIIT): Housed within the Ministry of Commerce and Industry, DPIIT is the nodal agency for implementing the Startup India initiative and formulating policies on foreign direct investment (FDI) and intellectual property rights (IPR).
- NITI Aayog (National Institution for Transforming India): The government's premier policy think tank, which houses the Atal Innovation Mission (AIM) and plays a key role in formulating long-term strategy on technology and innovation.
- Office of the Principal Scientific Adviser (PSA) to the Government of India: This office is a key player in shaping science, technology, and innovation policies, including the formulation of the draft NDTSP.
What is the core challenge in shifting from 'jugaad' to deep tech?
The core challenge is transitioning an ecosystem celebrated for cost-effective, improvisational solutions ('jugaad') to one that systematically creates and scales globally competitive 'frontier technology'. While India has made significant strides, climbing to the 40th position among 132 economies in the Global Innovation Index 2023 (Source: World Intellectual Property Organization), the character of its innovation has been predominantly in software and services. The difficulty lies in building capabilities in capital-intensive and research-heavy domains like semiconductors and advanced material sciences. The global contest over semiconductor technology, exemplified by the U.S. CHIPS and Science Act, underscores the strategic vulnerability of being a technology 'deployer' rather than a 'creator'. As a recent analysis in The Hindu notes, while becoming an "AI deployment superpower" is one path, the larger field of opportunities in deep tech remains an "open contest."
What has been the government's policy approach?
The government's strategy has evolved from broad-based support to a targeted focus on deep tech. The foundational policy was the Startup India Action Plan, launched on January 16, 2016, built on pillars of simplification, funding support, and industry-academia partnership. Under this, the DPIIT has officially recognized over 1,17,000 startups as of late 2023. A key financial instrument is the Fund of Funds for Startups (FFS) Scheme, with a ₹10,000 crore corpus. The FFS does not invest directly in startups but in SEBI-registered Alternative Investment Funds (AIFs), which then fund emerging companies.
To cultivate innovation at the grassroots, the Atal Innovation Mission (AIM) under NITI Aayog has established over 10,000 Atal Tinkering Labs in schools. More recently, the policy focus has sharpened. The draft National Deep Tech Startup Policy (NDTSP), released for consultation in August 2023, explicitly addresses the unique challenges of deep tech ventures, such as long gestation periods and high capital needs. It proposes interventions across nine themes, including nurturing R&D and facilitating access to patient capital, signalling that a different policy toolkit is required for deep tech.
What are the persistent structural barriers?
Despite policy initiatives, several structural impediments remain. A primary concern is the low national expenditure on Research and Development (R&D). India's gross expenditure on R&D has stagnated at 0.64% of its GDP (2020-21), significantly lower than that of China (2.4%), the U.S. (3.5%), and Israel (5.6%), according to the Economic Survey 2022-23. This underinvestment limits the capacity of academic and research institutions, which are the primary sources of deep tech innovation.
Beyond funding levels, the ecosystem faces challenges in capital and talent, as highlighted in a recent analysis by The Hindu. For capital, the critique points to the need for predictable tax policies where "venture capital must be in a position to assess exploratory and cutting-edge pitches on the same footing as they do in other countries." This suggests a gap in high-risk, 'patient' capital. For talent, the challenge is retention. The analysis argues that attracting top talent requires investment in "public goods such as clean air, abundant urban green spaces, and affordable and reliable public transport." This broadens the definition of an 'innovation ecosystem' to include quality of life, suggesting that India's oldest developmental challenges are now direct barriers to its frontier tech ambitions.
How does India's approach compare globally?
India's innovation model has been largely private-sector and services-led, distinguishing it from other technology leaders. In the United States, foundational technologies like the internet and GPS emerged from state-funded, high-risk research through agencies such as the Defense Advanced Research Projects Agency (DARPA). This 'entrepreneurial state' model is one India is beginning to explore with the National Research Foundation. China’s model, by contrast, is characterized by massive state-led industrial policy targeting strategic sectors like semiconductors and AI through plans such as 'Made in China 2025'.
Israel, the 'Startup Nation', showcases a powerful synergy between military R&D, top-tier universities, and a vibrant venture capital market, creating a dense and highly productive innovation cluster. Recent high-level dialogues on technology collaboration, such as those with France, suggest India is exploring partnerships to build an ecosystem that leverages its unique strengths without replicating the American or Chinese models wholesale. This indicates a search for a hybrid model that combines state-led vision with private-sector agility.
The Way Forward: From Policy to Practice
Why does this topic matter right now? The imperative to build a sovereign frontier tech capability is no longer an abstract economic goal; it is a matter of strategic autonomy. Growing techno-nationalism, exemplified by the global contest over semiconductor supply chains, means countries lacking indigenous capabilities risk becoming mere technology takers, vulnerable to external policy shifts and supply chain disruptions. For India, which aims to be a leading power, building this ecosystem is central to its economic and national security in the 21st century.
What is the likely trajectory? In the next five years, the focus will shift from policy formulation to implementation. A critical milestone will be the operationalisation of the National Research Foundation (NRF). The NRF, with a proposed outlay of ₹50,000 crore over five years (2023-28), is designed to be the primary vehicle for boosting public and private investment in R&D. Its success in channelling funds effectively to universities and labs will be a key determinant of India's deep tech future. Upcoming Union Budgets will be crucial indicators of the government's financial commitment to these stated goals.
What are the governance and societal implications? The transition to a deep tech economy requires a fundamental shift in governance from being a regulator to an enabler of high-risk innovation. This involves creating stable tax regimes, robust intellectual property protection, and bankruptcy laws that do not penalise failure. Societally, it necessitates a long-term investment in public goods—not just better cities and cleaner air, as the source material argues, but also a higher education system that prioritises research over rote learning. Ultimately, building a frontier tech ecosystem is not merely a technocratic exercise; it is a test of political will to address some of India's most stubborn developmental challenges.