October 7, 2026, (Inside AI) — The World Bank Group has placed India among the top 10 emerging-market performers in artificial intelligence readiness, according to a new report titled India and Artificial Intelligence: Seizing the Development Opportunity, released under the India Development Update. The assessment credits India's large technical workforce, globally integrated IT sector, and digital public infrastructure for the ranking.
The report arrives as India's AI ecosystem draws record private investment. In 2025, private AI investment in India reached $4.1 billion (₹36,231.7 crore), more than triple the previous year. Employment across India's Global Capability Centres expanded to 2.36 million, underscoring the country's growing role in global technology services.
Despite the optimistic ranking, the World Bank cautions that AI's long-term effects on employment and economic stability remain uncertain. The report notes that labour market substitution risks are lower in India than in advanced economies so far, largely because a smaller share of jobs are cognitive. However, it also highlights significant potential for productivity gains if adoption broadens.
The World Bank outlines several conditions for India to fully harness AI: expanding adoption beyond large urban firms, building worker capabilities, strengthening infrastructure, leveraging AI in public services, and establishing adaptive governance frameworks. These recommendations reflect a balanced view of AI's promise and its potential disruptions.
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A separate policy research working paper, Beyond the AI Divide: A Simple Approach to Identifying Global and Local Overperformers in AI Preparedness, provides a global context. It categorizes nations into three economic tiers. High-income economies like Singapore and the United States lead through deep capital and mature regulations. Upper-middle-income countries such as China and Malaysia act as regional tech gateways, using state infrastructure to scale compute power. Lower-income economies, including India and Rwanda, defy resource constraints through aggressive policies, engineering talent, and digital public infrastructure.
The core team of analysts included Ran Li, Vincent Tsoungui Belinga, Aurélien Kruse, Tanvir Malik, Naresh Kumar, Mohini Gupta, Utz Johann Pape, Ayago Esmubancha Wambile, and Nishtha Kochhar. The report was guided by World Bank leads Hoon Sahib Soh, Sebastian Eckardt, and Paul Procee.
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India's ranking signals its growing influence in AI, but the World Bank's nuanced findings suggest that sustained efforts in policy, infrastructure, and skills development are essential. The country's ability to bridge the AI divide will depend on how effectively it translates its talent and digital public infrastructure into widespread, inclusive adoption.
