Global AI Markets and Emerging Economies

At the frontier, AI is a two-country industry. The United States and China between them hold most of the world's AI compute, almost all of its frontier labs and the great majority of its AI capital. On the Stanford AI Index's count, US private AI investment in 2024 was ~$109bn, against ~$9bn for China and ~$4.5bn for the UK (reported April 2025). Every other country has had to choose a position. Some try to build their own models and champions, as France does with Mistral and India does with its IndiaAI Mission. Some buy access to American or Chinese models and focus on adoption. Some host other people's compute in return for capital and influence: the UAE and Saudi Arabia offer cheap energy and sovereign money in exchange for American chips. Some specialise: Taiwan and the Netherlands in chips, Kenya and the Philippines in data work, Israel and Canada in research talent. Africa has ~18% of the world's people and well under 1% of its data-centre capacity (reported estimates). It meets AI first as a supplier of data labour and a market for consumer apps. Its own opportunities are local-language data and models, low-cost distribution through mobile money and messaging, and a few compute projects. This section maps the global AI market region by region: China, Europe, the Gulf, India, the rest of Asia, Latin America and Africa. It explains what "sovereign AI" means in practice and what it costs, and looks closely at Ghana. It sets out the patterns that decide where value is created outside the two leaders, and how an experienced investor, founder or policymaker in an emerging economy thinks about them.