The AI adoption gap: what the World Bank's new numbers say about emerging markets

At a glance: On 6 October 2026 the World Bank published regional economic updates that put numbers on the AI adoption gap. About 23% of Indian firms report using AI, against 43% in the United States. Only 13% of jobs in East Asia and Pacific involve the complex thinking and judgement where AI helps most, against 39% in advanced economies. In Sub-Saharan Africa, adoption is at an early stage. For multinationals and local leaders, the gap shapes where AI can raise productivity soon, and where it cannot yet.

Three regions, one pattern

The World Bank released three regional updates on the same day: the South Asia Economic Update, Adopting AI for Growth; the East Asia and Pacific Economic Update; and the Africa Economic Update. Read together, they describe economies that are growing faster than the global average, yet trailing advanced economies in using AI.

Indicator (World Bank, October 2026)	Emerging market	Advanced economy benchmark
Firms reporting AI use	India: about 23%	United States: 43%
Jobs involving complex thinking and judgement	East Asia and Pacific: 13%	Advanced economies: 39%
AI adoption stage	Sub-Saharan Africa: early stage, concentrated in Kenya, Nigeria and South Africa	n/a
2026 growth forecast	South Asia 6.9%; East Asia and Pacific 4.5%; Sub-Saharan Africa 4.3%	n/a

South Asia: growth first, adoption second

The World Bank expects South Asia to grow 6.9% in 2026, above earlier projections, slowing to 6.7% in 2027. It credits domestic demand, remittances and recent structural reforms.

On AI, the headline number is India's. About 23% of Indian firms report using AI, compared with 43% in the US. The Bank says the gap is wider still for more sophisticated uses of the technology. It also points to early public-sector applications: AI-based weather forecasts for smallholder farmers in India and AI-assisted retinal screening in Bangladesh.

"The adoption of AI has the potential to transform South Asia's development trajectory," said Franziska Ohnsorge, World Bank Group Chief Economist for Asia. The Bank's Vice President for South Asia, Johannes Zutt, said countries "should invest in the skills, infrastructure, and enabling environment" that help workers and businesses benefit.

East Asia and Pacific: a job-structure problem

The East Asia and Pacific update frames the gap differently. AI is most effective in jobs that involve complex thinking and judgement. Only 13% of jobs in the region fall into that category, compared with 39% in advanced economies.

That is a structural limit, not just a question of buying software. The Bank finds that AI has not yet significantly affected automatable jobs in the region, but is already changing the skills employers want: firms increasingly look for AI expertise alongside analytical and social skills. Firm and individual adoption is rising but still trails advanced economies, held back by high costs, limited expertise, and security and privacy concerns.

The Bank's prescription is what it calls "Small AI": adapting existing, more accessible tools, including affordable local-language applications in sectors such as tourism and agribusiness. It describes this as the largest near-term opportunity for most countries in the region, which it expects to grow 4.5% in 2026.

"The challenge now is to turn the region's strength in producing AI-related goods into widespread AI adoption," said Carlos Felipe Jaramillo, World Bank Vice President for East Asia and Pacific.

Sub-Saharan Africa: early days

The Africa Economic Update projects Sub-Saharan growth of 4.3% in 2026, up from 4.1% in 2025, with forecasts raised for nearly three-quarters of countries. On AI it is brief: most countries are at an early stage of adoption, with activity concentrated in Kenya, Nigeria and South Africa. The release gives no adoption percentage.

The wider context: lower risk, smaller gains

The World Bank's World Development Report 2026: The Promise of Artificial Intelligence, published in August, adds the global frame. It estimates that 4.5% of jobs in low- and middle-income countries are at risk of automation by generative AI, against 14.2% in high-income countries. The share of jobs where AI could meaningfully raise productivity is 16.2% in developing economies, against 18.7% in high-income countries.

"They do not need large models or big data centers to reap its benefits," said Indermit Gill, the World Bank Group's Chief Economist, of developing economies.

WCRC analysis: the numbers cut both ways. Lower exposure means emerging-market workforces face less near-term disruption from automation. It also means fewer jobs where AI lifts output today. The firms that close the gap first are likely to be those that redesign roles around AI, not those that simply license tools.

What it means for leaders

• Calibrate AI business cases by market. A productivity assumption built on US adoption rates will overstate returns in markets where half as many firms use AI and far fewer roles involve complex judgement.
• Start small and local. The World Bank's "Small AI" finding suggests that affordable, local-language tools in operations, customer service and agriculture may pay back faster than large deployments.
• Invest in skills alongside software. Employers in East Asia are already asking for AI expertise combined with analytical and social skills. Training budgets are part of the AI budget.
• Treat cost, expertise and security as the real barriers. These are the obstacles the World Bank names. Shared services, partnerships and vendor support can lower all three.
• Look for first-mover advantage. Where competitors have not adopted, early users can differentiate on service and cost.

Quick answers

Q: What share of Indian firms use AI? A: The World Bank's South Asia Economic Update (October 2026) says about 23% of Indian firms report using AI, compared with 43% in the United States, with a wider gap for more sophisticated uses.

Q: Why is AI adoption lower in East Asia and Pacific? A: The World Bank finds only 13% of regional jobs involve complex thinking and judgement, where AI is most effective, against 39% in advanced economies. It also cites high costs, limited expertise, and security and privacy concerns.

Q: What is "Small AI"? A: It is the World Bank's term for adapting existing, more accessible AI tools, such as affordable local-language applications, which it calls the largest near-term AI opportunity for most East Asian and Pacific countries.