arXiv:2601.11196econ.GNcs.AI2026-01

AI投资拉动美国需求,但数据中心才是核心引擎。

Artificial Intelligence and the US Economy: An Accounting Perspective on Investment and Production

  • 用宏观会计框架分析AI在美经济中的表现,突出数据中心作用。
  • 2025年前三季AI相关资本支出显著推高总需求,但对GDP贡献受限于硬件进口。
  • 新数据中心服务产出或可抵得上迄今全部投资规模,适合关注宏观风险者读。

人工智能(AI)已成为政策、市场和学术讨论的焦点,但其宏观经济影响仍不完全清晰。本文从美国国民经济账户视角出发,结合简单的宏观会计框架与对AI生产过程的简要描述,揭示了数据中心在AI生态系统中的关键地位。这些设施是满足全球日益增长的AI服务需求的基础,2025年吸引了巨大投资。我们发现,2025年前三个季度的IT与AI相关资本支出大幅提振了总体需求,但扣除高比例的进口硬件后,对实际GDP增长的贡献相对较小。此外,初步测算表明,在当前利用率和定价水平下,新建数据中心产生的服务产出,未来几个季度对GDP的贡献规模可能相当于迄今为止的投资总额。短重投周期与未来需求不确定性虽未构成当前的宏观经济拖累,但中期内可能引发系统性风险。

原文摘要 · Abstract (English)

Artificial intelligence (AI) has moved to the center of policy, market, and academic debates, but its macroeconomic footprint is still only partly understood. This paper provides an overview on how the current AI wave is captured in US national accounts, combining a simple macro-accounting framework with a stylized description of the AI production process. We highlight the crucial role played by data centers, which constitute the backbone of the AI ecosystem and have attracted formidable investment in 2025, as they are indispensable for meeting the rapidly increasing worldwide demand for AI services. We document that the boom in IT and AI-related capital expenditure in the first three quarters of the year has given an outsized boost to aggregate demand, while its contribution to GDP growth is smaller once the high import content of AI hardware is netted out. Furthermore, simple calculations suggest that, at current utilization rates and pricing, the production of services originating in new AI data centers could contribute to GDP over the turn of the next quarters on a scale comparable to that of investment spending to date. Short reinvestment cycles and uncertainty about future AI demand, while not currently acting as a macroeconomic drag, can nevertheless fuel macroeconomic risks over the medium term.

AI经济数据中心宏观分析

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