AI investment in emerging markets hits record $8.8B in first half of 2026

Private investors are channeling record sums into artificial intelligence infrastructure across the developing world, with deal volumes in the first half of 2026 surpassing the full-year total for 2025, according to data from the Global Private Capital Association.

Record Flows Into Data Centers and Digital Infrastructure

Flows from private equity, venture capital, and private credit funds reached $8.8 billion in the first half of 2026, the highest since the GPCA began tracking the data in 2008. Unlike public equity markets, where AI-related gains remain concentrated in South Korea and Taiwan, private capital is moving broadly into data centers and digital infrastructure across Latin America and Africa.bloomberg+1

Jeff Schlapinski, the GPCA's managing director of research, said the surge reflects investors' recognition that "there is a durable long-run opportunity in markets outside the US," where "persistent gaps in digital and energy infrastructure will serve pent-up demand from businesses and consumers for basic services".finance.yahoo

Marquee Deals Span India, Mexico, and China

Among the largest transactions in the first six months of 2026, Indian data center firm Nxtra Data raised $1 billion from investors including Carlyle Group The Carlyle Group Inc. ↘ 0.77%, while Yotta Data Services announced a $2 billion investment in Nvidia ↘ 1.47% chips for an AI computing hub in India. In July, Apollo Global Management ↗ 0.17% committed as much as $20 billion to infrastructure projects in Mexico, including data center financing. Kuaishou Technology's Kling AI also secured $2.8 billion in commitments from investors including Alibaba Group ↘ 4.74% and Abu Dhabi's BlueFive Capital.finance.yahoo

World Bank Urges Developing Nations to Act

The investment wave arrives as the World Bank this week urged poorer nations to embrace AI as a growth accelerator. The lender's World Development Report 2026, published August 4, said AI "could allow developing countries to do in a decade what might otherwise take a century," provided governments close gaps in power, connectivity, and skills. The report argued that emerging economies need not build massive data centers or bespoke large language models to benefit, instead advocating a three-step path: adopt available tools, adapt them to local conditions, and advance toward frontier development over time.cnbcafrica+1