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Reports/Data Releases

8 October 2026

World Bank Raises India’s FY27 Growth Forecast to 7.1%, Finds AI Use Still Uneven

Stronger domestic demand and exports have lifted the World Bank’s growth outlook despite energy and trade shocks. Its India-focused AI assessment finds a large technical workforce and strong digital foundations, but a gap between the country’s capacity to use AI and its adoption across firms

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Key Details

The World Bank’s October 2026 India Development Update: India and Artificial Intelligence – Seizing the Development Opportunity pairs a revised economic forecast with a detailed assessment of AI adoption, productivity and jobs.

Indicator

Finding

FY27 growth forecast

7.1%, raised from 6.6% in the April update

Recent growth

7.8% in FY26 and 7.8% in Q1 FY27

FY27 outlook

Consumer inflation projected at 4.8%; current-account deficit at 1.5% of GDP

AI use by firms

About 23% of formal firms with at least five employees use some form of AI

Jobs exposed to AI

An estimated 22% of employment is highly exposed to AI-related task changes—an exposure measure, not a job-loss forecast


Stronger Exports and Domestic Demand Lift the Growth Outlook

India has grown faster than the World Bank expected despite geopolitical tensions and higher energy costs. Consumption, investment and stronger-than-expected exports underpin its upgraded FY27 forecast. Industry has also performed better than anticipated, partly offsetting a weaker agricultural outlook associated with rainfall shortages.

The Bank expects growth of 7.2% in FY28 and 7.0% in FY29, assuming energy-market disruptions ease. Prolonged high oil prices, a larger rainfall deficit and trade disruption could still weaken that path. The Update also notes that employment has expanded, while many new jobs remain in agriculture, construction and small-scale trade—making earnings and job quality important alongside the growth rate.

India’s AI Strength Is Greater Than Its AI Reach

India’s IT sector, technical workforce and digital public infrastructure provide a strong base for using AI. Yet adoption remains concentrated. About 23% of surveyed formal firms use AI, while only 39.4% of unincorporated establishments used the internet for business in 2025—a more basic indication of how far many small enterprises remain from integrating AI into their work.

The Bank distinguishes three ways countries can participate: adopt existing tools, adapt them to local needs, and advance the technological frontier. India has the capacity to pursue all three, but not at the same scale. Its strongest near-term opportunity is to spread practical AI use and develop applications suited to Indian languages and sectors, while investing selectively in frontier capabilities. Limited computing capacity makes an attempt to replicate the entire global AI industry costly.

Job Effects Are Emerging Through Hiring and Tasks

The Bank estimates that 8% of Indian employment is in highly exposed occupations where AI may substitute for tasks, while another 14% is in highly exposed roles where it may more readily assist workers. These figures identify potential exposure; they do not measure workers already displaced or made more productive.

Evidence so far points more to changes in recruitment and work within occupations than to economy-wide job losses. In a survey of 651 Indian IT firms, 55% reported lower entry-level hiring. That raises a particular concern for new workers: if AI takes over routine tasks through which people once gained experience, firms will need other ways to develop early-career skills.


Policy Relevance

World Bank assessment puts diffusion ahead of headline AI capability. For smaller firms, affordable tools alone may not be enough; usable data, reliable connectivity, finance, managerial capacity and worker skills determine whether AI improves everyday operations. Existing digital public infrastructure can help applications reach more users, but it does not remove those firm-level constraints.

There is also a clear workforce choice. Training focused only on specialist AI developers would miss workers whose existing jobs are changing, particularly new entrants to technology services. Apprenticeships, workplace learning and targeted reskilling become more important if routine entry-level work continues to shrink.

For public services, the report highlights locally adapted, lower-cost “small AI” applications that can work with limited computing or connectivity. Their value should be judged by improvements in access, quality and cost—not by the number of pilots launched.


Follow the Full Report Here: World Bank, India Development Update: India and Artificial Intelligence – Seizing the Development Opportunity

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