India's AI Strategy: Development-Focused, Not Dominance-Driven, Says Eco Survey

The Economic Survey 2025-26 presents a pragmatic vision for AI in India, framing it as a tool for development rather than technological dominance. It advocates for a bottom-up approach where sectors like healthcare and agriculture develop tailored AI solutions to address specific challenges. The strategy emphasizes affordability, scalability, and the use of open systems to leverage India's strengths in skilled labor and diverse data. This approach is designed to overcome structural issues while navigating global inequalities in AI resources.

Key Points: India's AI Path Focused on Development, Not Dominance: Eco Survey

  • Focus on solving real-world challenges
  • Bottom-up, sector-specific AI solutions
  • Emphasis on affordability and scalability
  • Leveraging India's skilled workforce and diverse data
  • Building open, interoperable systems
2 min read

India's own AI path focused on development, not dominance: Eco Survey

India's Economic Survey outlines a practical, sector-specific AI strategy for healthcare, agriculture, and public services, avoiding a race for tech prestige.

"AI adoption in India should be rooted in economic needs and social responsibility. - Economic Survey 2025-26"

New Delhi, Jan 29

As government prepares for India AI Impact Summit 2026, the Economic Survey 2025-26, tabled in Parliament on Thursday presents artificial intelligence as a practical economic tool rather than a race for technological prestige.

The Survey explains how AI is reshaping the global economy and lays out a realistic and development-focused strategy for India in a time of fast technological change and global uncertainty.

"AI adoption in India should be rooted in economic needs and social responsibility," it said.

"Instead of relying on large, centralised systems, it supports a bottom-up approach where different sectors develop AI solutions suited to their specific problems," as per the survey tabled by Union Minister of Finance and Corporate Affairs Nirmala Sitharaman.

The Survey highlights the importance of open and interoperable systems that encourage collaboration and shared innovation.

"This approach aligns well with India's strengths, including its large pool of skilled workers, diverse data, and strong institutional networks," it said.

The Survey notes that India's growing demand for AI is driven by real-world challenges rather than experimental or luxury technologies.

It points to practical uses of AI in healthcare, agriculture, education, urban planning, disaster management, and public services.

Examples include early disease detection, better water management, improved access to markets for farmers, classroom performance analysis, and AI tools in regional languages.

"These solutions are designed to work on low-cost hardware and in limited-resource settings, making them affordable and scalable," according to the Survey.

"Such application-focused AI can lower costs and help overcome long-standing structural issues," it added.

Keeping in mind India's realities such as limited capital, energy constraints, and varying institutional capacity, the Survey emphasises that AI choices must support long-term growth and avoid creating new dependencies.

It also recognises that global AI development is uneven, with some countries having greater access to computing power, finance, data, and influence over global standards.

Rather than seeing this as a disadvantage, the Survey uses it to shape a more realistic policy direction for India.

- IANS

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Reader Comments

R
Rohit P
Finally, a sensible policy. "AI for development" not "AI for show". The emphasis on low-cost hardware and regional languages is crucial. Hope this translates to actual tools for our primary health centres and small farmers.
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Aman W
While the intent is good, execution is everything. We have brilliant minds in IITs and startups. The government must ensure this bottom-up approach doesn't get lost in bureaucratic red tape. Provide real support, not just surveys.
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Sarah B
As someone working in tech, the focus on open and interoperable systems is smart. It prevents vendor lock-in and fosters innovation. India's diverse data is a huge asset if used responsibly for societal good.
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Karthik V
AI in agriculture and disaster management could be a game-changer for a country like ours. Imagine predicting crop yields or flood patterns accurately! This practical focus is much better than chasing shiny, expensive tech.
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Nisha Z
I appreciate the honesty about limited capital and energy constraints. We have to be pragmatic. Let's build simple, effective solutions that work on basic smartphones in rural areas. That's true innovation for India. 🙏

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