AI Capital Is Going Global: $8.8 Billion Flowed Into Emerging Markets in H1 2026
Private capital into AI projects in the developing world hit $8.8 billion in H1 2026, more than all of 2025, according to the Global Private Capital Association. Latin America, Africa, and the Middle East are not on the periphery of this build, and some of the largest capital allocators in the world are actively targeting them, and the reasons are structural rather than speculative.
Apollo's $20 Billion Mexico Bet
Apollo Global Management, which runs $671 billion in assets, committed as much as $20 billion to infrastructure projects in Mexico, including data centres. A firm that size writing a $20 billion commitment has underwritten a thesis on costs, energy, proximity to the US market, and a government actively positioning Mexico as a nearshore AI hub for hyperscalers seeking geographic diversification without regulatory complexity.
Kuaishou Technology's Kling AI separately secured $2.8 billion with Alibaba and Abu Dhabi's BlueFive Capital. The Middle East has been the most aggressive sovereign wealth market for AI infrastructure globally, and it is now moving beyond cheques into US and European companies toward building domestic capacity in partnership with both Chinese and Western tech simultaneously.
Why Now
AI cost curves fell faster than mobile or cloud infrastructure costs ever did. A foundation model that cost $100 million to train in 2022 now costs a fraction of that, dropping the barrier to building AI applications on existing infrastructure significantly. Countries that missed the early mobile and cloud eras can move faster in AI because the entry price is lower.
Critical materials shifted the leverage. The AI boom is concentrating investment in countries sitting on lithium, cobalt, and rare earth elements, giving those nations negotiating power with US and Chinese tech companies that they simply did not have in prior technology cycles.
The World Bank this week urged developing nations to adopt AI tools tailored to their own needs, and across Africa, Latin America, and the Middle East, governments are not waiting for Western or Chinese platforms to serve them. They are funding domestic capacity and demanding local data sovereignty as a condition of participation.
The Risk
The capital leading this wave is infrastructure-first (private credit, sovereign wealth, large-cap PE) rather than venture funds chasing consumer adoption curves, which changes the risk profile compared to prior emerging market tech waves. Political risk is higher than in developed market PE. Currency risk is real. Liquidity timelines are longer.
Jeff Schlapinski of the GPCA called it "a durable long-run opportunity", and that framing is accurate, with long-run being the operative part. Wholesale investors in this category are looking at private credit and infrastructure fund vehicles, not direct equity bets on early-stage companies in unfamiliar regulatory environments. The structural tailwinds are genuine, and they are not the same kind of opportunity as getting into Anthropic pre-IPO.
Our piece on the energy infrastructure build behind AI covers the supply-side dynamics driving data centre investment globally. The emerging market story is where demand lands once the infrastructure exists to support it.
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