The article reflects on the recent World AI Summit in New Delhi, acknowledging its promise but urging India to make careful, strategic choices about AI investments and infrastructure rather than following global hype. It highlights key questions about whether India can attract major AI companies and sustain large-scale AI projects given limitations in power, water and capital — and whether it needs to pursue them at all.
India’s strengths — such as a large software engineering workforce, thriving IT services, a vast digital consumer base and successful digital public infrastructure like Aadhaar and UPI — make it appealing for AI development. Yet, the country still lags in crucial areas like high-end semiconductor fabrication and R&D ecosystem depth, which are central to becoming a real “techno-partner” rather than just a market or back-office consumer of AI technologies.
The article also warns about the environmental and resource challenges of hyper-scale AI deployment. Data centres demand high electricity and water consumption, which could strain India’s grid and water supplies if not managed with sustainable solutions such as renewable integration, advanced cooling technologies, and regulatory safeguards to ensure environmental responsibility.
Finally, it frames the core choice for India: focusing on domain-specific AI applications that address national needs — like agriculture, judicial efficiency and local-language tools — rather than competing directly with global AI giants in foundational model training. The article argues that if AI investments enhance key sectors and infrastructure without overshadowing priorities like health and education, the technology could be transformative; if not, India risks deepening inequalities and dependencies.
