Delhi Chief Minister Arvind Kejriwal urged engineering graduates at the Indian Institute of Technology Madras convocation to shape India as a global creator of artificial intelligence technology instead of remaining passive consumers, a call that underscores a broader national push for self‑reliance in emerging tech.
What happened
Kejriwal addressed the convocation ceremony on Saturday, speaking to a crowd of more than 1,200 engineering graduates. He emphasized that India possesses the talent and infrastructure needed to develop homegrown AI solutions, urging the new engineers to focus on building domestic AI products that tackle local challenges while competing on the world stage. “India should not just consume AI products developed elsewhere, but create them,” he said, according to reports.
The chief minister highlighted existing government programmes such as the Atal Innovation Mission and Digital India as foundations for fostering AI research and development. He announced plans to set up AI‑focused incubation centers in partnership with educational institutions, aiming to bridge the gap between academic research and industry applications. These centers, he said, would give graduates hands‑on experience with real‑world AI projects.
Kejriwal also cited successful Indian AI startups in healthcare, agriculture and education, calling for stronger public‑private partnerships to scale these innovations. Tamil Nadu Chief Minister M.K. Stalin, present at the event, endorsed the vision and pledged state‑level incentives, including tax breaks for companies investing in AI development within Tamil Nadu.
The ceremony concluded with the distribution of degrees to the graduating class, many of whom expressed interest in pursuing AI and machine‑learning careers.
Why it matters
The remarks signal a strategic shift in Indian policy toward reducing dependence on foreign AI technologies and enhancing data sovereignty. By positioning engineering graduates as creators rather than consumers, the government seeks to harness the country’s large pool of technical talent to drive innovation, create high‑value jobs and strengthen economic resilience.
Analysis:
The call for indigenous AI creation aligns with broader national initiatives that aim to lessen reliance on external technology providers, a concern amplified by global debates over data ownership and digital dominance. By encouraging graduates to develop AI solutions tailored to Indian contexts, the government hopes to generate homegrown products that can be exported, thereby turning a demographic dividend into an economic engine. This approach may also mitigate risks associated with geopolitical tensions that could affect the flow of technology and data across borders.
Background and context
India has already laid groundwork for AI advancement through the National Strategy for Artificial Intelligence, which outlines objectives for research, development and responsible deployment. The Production Linked Incentive (PLI) scheme for technology development provides financial support to companies that manufacture advanced components domestically, including semiconductor and AI hardware.
The Atal Innovation Mission, launched in 2016, has funded numerous incubators and research parks, fostering a startup ecosystem that includes AI ventures. Digital India, another flagship programme, aims to expand digital infrastructure and e‑government services, creating a fertile environment for AI applications in public services.
Previous statements by senior officials have repeatedly stressed the need for self‑reliance in critical technologies. In 2024, the Ministry of Electronics and Information Technology announced a roadmap to develop a “Made in India” AI ecosystem, targeting a 30 % share of domestic AI market consumption within five years.
The emphasis on AI creation also reflects concerns about the concentration of AI capabilities in a few multinational firms, which can limit India’s strategic autonomy in sectors such as health, agriculture and education — areas where AI can improve outcomes and generate employment.
What to watch next
The establishment of AI incubation centers will require funding mechanisms, regulatory clarity and collaboration frameworks between academia, industry and government. Stakeholders will monitor how quickly these centers become operational and whether they attract private investment.
State‑level incentives announced by Tamil Nadu may serve as a template for other regions, prompting a patchwork of policies that could accelerate or fragment the national AI agenda. Legislative measures supporting AI research, such as tax credits or grant programmes, will be scrutinised for their effectiveness in translating academic output into market‑ready solutions.
Observers will also track the response from the engineering graduate cohort, whose career choices may shift toward AI entrepreneurship or R&D roles, influencing the talent pipeline for the sector.
Conclusion
Kejriwal’s address at IIT Madras underscores a decisive policy direction: leveraging India’s engineering talent to transform the nation from a consumer of AI into a creator and exporter of AI technologies. If the announced incubation centers and public‑private partnerships materialise, they could catalyse a new wave of homegrown AI solutions, reinforcing India’s strategic autonomy and contributing to global AI innovation. The success of this vision will depend on coordinated action across government, industry and academia, as well as the willingness of graduates to engage in building domestic AI capabilities.
Sources:
– The Hindu – National: https://www.thehindu.com/news/national/tamil-nadu/engineering-graduates-should-turn-india-into-ai-creator-rather-than-mere-consumer-market-says-delhi-cm/article71377159.ece
Corrections
If you believe this article contains an error, contact Herald Express with the source URL and supporting evidence.
Story synopsis gathered from: The Hindu – National — source
