Archive · 12 Oct 2026
India Should Prioritize AI Adoption to Unlock Economic Growth
AI can do more than help companies build powerful computer models.
It can also help people do their work better when useful tools reach them.
In India, AI tools are being developed for farmers, health workers, teachers, and public services.
The article says AI is more likely to help many workers than replace them.
But people need electricity, internet access, devices, training, and good public systems to use it.
India can build on its experience with shared digital platforms.
New AI projects should be tested carefully and planned so they can reach many people.
Successful projects should grow, and projects that do not work should be stopped.
The goal is to spread the benefits of AI across the economy.
The article argues that AI’s economic gains depend on widespread use, not only on building advanced models and infrastructure.
It cites estimates that 4.5% of jobs in low- and middle-income countries are highly exposed to generative AI automation, while 16.2% could gain meaningful productivity.
AI applications in India are being used or developed for agriculture, weather forecasting, health diagnostics, and public services.
The article says electricity, connectivity, devices, skills, local-language data, and capable institutions are needed to make AI useful at scale.
It recommends designing for scale, evaluating outcomes with evidence, and expanding successful projects while ending ineffective ones.
- Who
- The article focuses on India, its businesses, workers, and government; it is written by a World Bank executive director and a Development Economics director.
- What
- It argues that India should prioritize broad adoption of AI to raise productivity and spread economic gains.
- When
- The article discusses the current phase of AI development and cites the World Development Report 2026.
- Where
- India, with comparisons to low- and middle-income and high-income countries.
- Why
- The authors argue that applying AI to practical problems at scale can deliver broader economic benefits than focusing mainly on building frontier models.
Build and own AI
Adopt AI at scale
Where economic value will come from
Build and own AI
The dominant framing emphasizes value accruing to companies that build AI models and to firms in chips, data centres, and energy.
Adopt AI at scale
The article argues that downstream users who adapt and deploy AI across the economy may capture many of the largest gains.
India’s AI strategy
Build and own AI
India could focus on matching the major investments made by frontier AI companies and countries.
Adopt AI at scale
The authors argue India need not match their investment scale; it should build strategic capabilities while emphasizing practical adoption and broad deployment.
- Highly automation-exposed jobs
- An estimated 4.5% of existing jobs in low- and middle-income countries, compared with 14.2% in high-income countries.
- Potential productivity gains
- An estimated 16.2% of jobs in low- and middle-income countries could experience meaningful gains, compared with 18.7% in advanced economies.
- Examples of AI uses in India
- Agricultural advice, weather forecasting, health diagnostics, and public services.
- Farmer platform
- Bharat VISTAAR is a Government of India digital platform for farmers, with states building AI chatbots in multiple languages.
- Digital public infrastructure examples
- Aadhaar, UPI, DigiLocker, and emerging data-sharing systems.
- Strategic capability initiatives
- The article identifies IndiaAI, RDIF, and ANRF as important steps.
- Recommended approach
- Plan for scale, test with evidence, and expand successful projects while stopping ineffective ones.