What is the Economic Survey's view on Artificial Intelligence?

The Economic Survey recognizes Artificial Intelligence (AI) as an economic strategy rather than a prestige technology race, advocating for a bottom-up, sector-specific approach.

What are industry expectations from the Union Budget 2026-27 regarding AI?

The industry expects the Union Budget 2026-27 to push for the development of the AI ecosystem, including innovation, digital infrastructure, and market liquidity for AI adoption.

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Economic Survey Redefines AI as Strategy, Not Race

Q: How does the Economic Survey propose to promote AI innovation?

The Economic Survey proposes a bottom-up, multiple sector-specific approach grounded in open and interoperable systems to promote collaboration and shared innovation in AI.

31 Jan

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Summary

Economic Survey views AI as strategy, not prestige race.
Focus on bottom-up, sector-specific AI approach is advocated.
Industry anticipates budget for AI ecosystem development.

Economic Survey Redefines AI as Strategy, Not Race

The Economic Survey, presented in Parliament on January 29, 2026, advocates for Artificial Intelligence (AI) to be treated as an economic strategy rather than a competitive technology race. It strongly recommends a bottom-up, multi-sector-specific approach, grounded in open and interoperable systems to foster collaboration and shared innovation.

Technology firms are keenly awaiting the Union Budget 2026-27, expected to prioritize the development of India's AI ecosystem. This includes fostering innovation, enhancing digital infrastructure across various sectors, and injecting market liquidity to encourage AI adoption.

Industry leaders like CP Gurnani view India's AI momentum positively, highlighting its talent and data assets. He emphasized leveraging engineering strengths for affordable, human-centric AI solutions tailored for local challenges before global scaling. Suryansh Jalan of FarEye stressed the need for improved reliability and global competitiveness in logistics, prioritizing autonomous orchestration and interoperable digital workflows.