India Expands AI Ambitions in Budget 2026–27, Targets Chips

The Union Budget outlined a broader AI roadmap that integrates chip manufacturing, advanced computing infrastructure, and data centre expansion into India’s national technology strategy.

February 2, 2026
|

A major development unfolded in New Delhi as India’s Union Budget 2026–27 significantly expanded the country’s artificial intelligence strategy, extending support beyond software to include semiconductor manufacturing and data centre infrastructure. The move signals a decisive shift toward building full-stack AI capabilities, with implications for global investors, technology firms, and policymakers.

The Union Budget outlined a broader AI roadmap that integrates chip manufacturing, advanced computing infrastructure, and data centre expansion into India’s national technology strategy. Government allocations are set to support domestic semiconductor fabrication, encourage private investment in hyperscale data centres, and strengthen AI research ecosystems. Policy measures aim to reduce reliance on foreign chip supply chains while supporting energy-efficient data centres critical for AI workloads. The government also emphasized public-private partnerships and faster regulatory clearances to accelerate deployment. Together, these measures position AI as a strategic national asset rather than a standalone digital initiati

The budgetary shift comes amid intensifying global competition over AI leadership, semiconductor self-sufficiency, and cloud infrastructure dominance. Countries including the United States, China, and members of the European Union have launched multibillion-dollar programs to localize chip manufacturing and secure computing capacity. India, historically dependent on imported semiconductors, has increasingly framed AI as a pillar of economic growth, national security, and digital sovereignty. Previous initiatives focused primarily on AI software talent and digital public infrastructure. However, the rapid growth of generative AI, coupled with geopolitical disruptions to chip supply chains, has exposed vulnerabilities in hardware access and data infrastructure. By widening its AI push to include chips and data centres, India is aligning its strategy with global trends that recognize compute power as the new economic and strategic currency.

Policy analysts view the expanded AI focus as a necessary evolution rather than an optional upgrade. Technology experts argue that AI leadership now depends less on algorithms alone and more on access to scalable, reliable computing infrastructure. Industry leaders have welcomed the emphasis on semiconductors, noting that domestic chip capacity could reduce costs and improve resilience for Indian startups and enterprises. Government officials have framed the initiative as part of a long-term vision to position India as a trusted global technology hub. Analysts caution, however, that execution risks remain, particularly around energy availability, skilled manufacturing talent, and global competition for capital. The success of the initiative, experts note, will depend on sustained policy consistency and coordination across ministries.

For businesses, the budget opens new opportunities across semiconductor manufacturing, cloud services, and AI-driven enterprise solutions. Global technology firms may view India as a more attractive destination for data centre AI investments and chip partnerships. Investors could see long-term value creation, though near-term returns may depend on infrastructure readiness and regulatory clarity. For policymakers, the move raises questions around energy policy, environmental sustainability, and data governance. Consumers and enterprises may ultimately benefit from lower AI compute costs and improved digital services, but regulatory frameworks will need to keep pace with rapid technological expansion.

Going forward, decision-makers will closely watch how quickly chip manufacturing projects and data centre investments move from announcement to execution. Key uncertainties include power availability, global supply chain dynamics, and the pace of private sector participation. If successfully implemented, the strategy could redefine India’s position in the global AI economy and reshape its long-term digital competitiveness.

Source & Date

Source: Financial Express
Date: February 2026

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India Expands AI Ambitions in Budget 2026–27, Targets Chips

February 2, 2026

The Union Budget outlined a broader AI roadmap that integrates chip manufacturing, advanced computing infrastructure, and data centre expansion into India’s national technology strategy.

A major development unfolded in New Delhi as India’s Union Budget 2026–27 significantly expanded the country’s artificial intelligence strategy, extending support beyond software to include semiconductor manufacturing and data centre infrastructure. The move signals a decisive shift toward building full-stack AI capabilities, with implications for global investors, technology firms, and policymakers.

The Union Budget outlined a broader AI roadmap that integrates chip manufacturing, advanced computing infrastructure, and data centre expansion into India’s national technology strategy. Government allocations are set to support domestic semiconductor fabrication, encourage private investment in hyperscale data centres, and strengthen AI research ecosystems. Policy measures aim to reduce reliance on foreign chip supply chains while supporting energy-efficient data centres critical for AI workloads. The government also emphasized public-private partnerships and faster regulatory clearances to accelerate deployment. Together, these measures position AI as a strategic national asset rather than a standalone digital initiati

The budgetary shift comes amid intensifying global competition over AI leadership, semiconductor self-sufficiency, and cloud infrastructure dominance. Countries including the United States, China, and members of the European Union have launched multibillion-dollar programs to localize chip manufacturing and secure computing capacity. India, historically dependent on imported semiconductors, has increasingly framed AI as a pillar of economic growth, national security, and digital sovereignty. Previous initiatives focused primarily on AI software talent and digital public infrastructure. However, the rapid growth of generative AI, coupled with geopolitical disruptions to chip supply chains, has exposed vulnerabilities in hardware access and data infrastructure. By widening its AI push to include chips and data centres, India is aligning its strategy with global trends that recognize compute power as the new economic and strategic currency.

Policy analysts view the expanded AI focus as a necessary evolution rather than an optional upgrade. Technology experts argue that AI leadership now depends less on algorithms alone and more on access to scalable, reliable computing infrastructure. Industry leaders have welcomed the emphasis on semiconductors, noting that domestic chip capacity could reduce costs and improve resilience for Indian startups and enterprises. Government officials have framed the initiative as part of a long-term vision to position India as a trusted global technology hub. Analysts caution, however, that execution risks remain, particularly around energy availability, skilled manufacturing talent, and global competition for capital. The success of the initiative, experts note, will depend on sustained policy consistency and coordination across ministries.

For businesses, the budget opens new opportunities across semiconductor manufacturing, cloud services, and AI-driven enterprise solutions. Global technology firms may view India as a more attractive destination for data centre AI investments and chip partnerships. Investors could see long-term value creation, though near-term returns may depend on infrastructure readiness and regulatory clarity. For policymakers, the move raises questions around energy policy, environmental sustainability, and data governance. Consumers and enterprises may ultimately benefit from lower AI compute costs and improved digital services, but regulatory frameworks will need to keep pace with rapid technological expansion.

Going forward, decision-makers will closely watch how quickly chip manufacturing projects and data centre investments move from announcement to execution. Key uncertainties include power availability, global supply chain dynamics, and the pace of private sector participation. If successfully implemented, the strategy could redefine India’s position in the global AI economy and reshape its long-term digital competitiveness.

Source & Date

Source: Financial Express
Date: February 2026

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