揭示非洲AI基建投资背后的资本控制格局
Financing Artificial Intelligence Infrastructure: Mapping AI Infrastructure Investment and Compute Governance Across Africa
- 分析46个公开项目，总投入127亿美元
- 73%资金用于资本与物理设施，控制权却集中于少数科技巨头
- 适合关注AI公平性与数字主权的研究者
人工智能依赖大规模计算资源及其支撑基础设施。然而，当前的AI治理讨论多将算力视为技术输入，而非投资、所有权和金融控制的结果。本文通过系统分析2019至2025年间非洲46个公开宣布的项目（总计127亿美元），研究AI基础设施投资流向。基于价值链框架，分析投资主体与集聚区域。结果表明，投资高度集中于全球数据中心运营商、超大规模科技公司及发展金融机构，主要集中在南非、肯尼亚、尼日利亚和埃及。我们提出“非对称依存”概念，描述资本与物理基础设施占总投资73%，但算力层控制权仍集中于少数全球科技企业。强调算力治理必须考虑资金流动、所有权与控制权，而不仅是地理可及性，因为这些动态塑造了算力公平性。基础设施存在是必要条件，但不足以带来实质性治理能力。
原文摘要 · Abstract (English)
Artificial intelligence depends on large-scale compute resources and their supporting infrastructure. However, AI governance debates treat compute primarily as a technical input rather than as an outcome of investment, ownership, and financial control. This paper examines AI infrastructure investment flows across Africa through a systematic analysis of 46 publicly announced projects totalling USD $12.7 billion between 2019 and 2025. Using a value chain framework, we analyze who invests in AI-relevant infrastructure and where investments concentrate. Our findings reveal a highly concentrated landscape dominated by global data center operators, hyperscale technology firms, and development finance institutions, clustering in South Africa, Kenya, Nigeria, and Egypt. We introduce asymmetrical interdependence to describe a structural condition in which capital and physical infrastructure account for 73% of total funding while control remains concentrated in the compute layer among a small number of global technology firms. We argue that compute governance must account for capital flows, ownership, and control, not only geographic access, because these dynamics shape AI compute equity. Infrastructure presence is necessary but insufficient for meaningful governance capacity.
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