论实验室与晶圆厂：绘制联盟、收购与反垄断如何塑造前沿人工智能产业的图景
On Labs and Fabs: Mapping How Alliances, Acquisitions, and Antitrust are Shaping the Frontier AI Industry
AI总结：
本文通过分析25家AI供应链企业的300组关系、80起并购和40起反垄断案件，揭示了横向与后向纵向一体化趋势及战略联盟格局，为AI产业治理与反垄断干预提供基础。
摘要：
随着前沿人工智能模型的不断进步，关于安全人工智能发展的政策提案正受到研究者和政策制定者越来越多的关注。本文探讨了当前人工智能供应链中的一体化状况，重点关注人工智能实验室、云服务提供商、芯片制造商和光刻企业之间的纵向关系与战略伙伴关系。本文旨在为更深入地理解包括反垄断措施在内的各种治理干预措施的潜在影响奠定基础。本研究有两项主要贡献。第一，本文对人工智能供应链中的25家领先公司进行了画像分析，分析了300组关系，并记录了80起重大并购以及40起反垄断案件。第二，我们基于所观察到的趋势，讨论了可能的市场界定以及一体化驱动因素。分析揭示了通过自然增长而非收购实现的主导性横向一体化，以及半导体供应链中显著的后向纵向一体化趋势。战略伙伴关系在下游同样重要，尤其是在人工智能公司与云服务提供商之间，大型科技公司往往通过收购专门的人工智能初创企业或与前沿人工智能实验室结成联盟来追求混合联合一体化。为了进一步理解行业中的战略伙伴关系，我们提供了三个简要案例研究，涉及OpenAI和Nvidia等公司。最后，我们提出了关于市场动态以及可能的治理干预措施（如许可和安全审计）的开放性研究问题。
英文摘要：
As frontier AI models advance, policy proposals for safe AI development are gaining increasing attention from researchers and policymakers. This paper explores the current integration in the AI supply chain, focusing on vertical relationships and strategic partnerships among AI labs, cloud providers, chip manufacturers, and lithography companies. It aims to lay the groundwork for a deeper understanding of the implications of various governance interventions, including antitrust measures. The study has two main contributions. First, it profiles 25 leading companies in the AI supply chain, analyzing 300 relationships and noting 80 significant mergers and acquisitions along with 40 antitrust cases. Second, we discuss potential market definitions and the integration drivers based on the observed trends. The analysis reveals predominant horizontal integration through natural growth rather than acquisitions and notable trends of backward vertical integration in the semiconductor supply chain. Strategic partnerships are also significant downstream, especially between AI companies and cloud providers, with large tech companies often pursuing conglomerate integration by acquiring specialized AI startups or forming alliances with frontier AI labs. To further understand the strategic partnerships in the industry, we provide three brief case studies featuring companies like OpenAI and Nvidia. We conclude by posing open research questions on market dynamics and possible governance interventions, such as licensing and safety audits.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
