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宏观路标 | 人工智能投资热潮不止于美国

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品浩认为,人工智能基础设施热潮并非仅限美国:大型美国科技公司已公布的2026年资本开支超过1万亿美元,此后预计还有约1.5万亿美元。人工智能投资对美国2.7%的年化国内需求增长贡献约1.2个百分点,而股市财富效应又贡献0.5至0.7个百分点。周期性风险在于投资增速放缓,而非投资必然崩塌。

机构
品浩
发布时间
2026/10/15
研究主题
Fed Policy
时间范围
2026 · September 2026

关键论点

  • 人工智能投资已成为美国和全球扩张的重要支撑,美国科技公司已公布的2026年资本开支超过1万亿美元,此后预计还有约1.5万亿美元。
  • 人工智能相关投资对美国2.7%的年化国内需求平均增长贡献约1.2个百分点,但由于进口含量高,对美国产出的提振较小。
  • 人工智能乐观情绪通过金融条件支持增长,股市财富渠道估计贡献0.5至0.7个百分点,约为投资本身脉冲的1至1.5倍。
  • 由于增长取决于支出的变化,即使投资水平仍然很高,只要增速放缓,其脉冲也会减弱,这使人工智能成为周期性风险,而不必然需要崩塌。

关键数字

2026年美国科技公司已公布资本开支
超过1万亿美元
此后预计额外支出
约1.5万亿美元
人工智能投资对美国国内需求增长的贡献
约1.2个百分点
美国国内需求平均年化增长率
2.7%
股市财富渠道对增长的支撑
约0.5至0.7个百分点

主要风险

  • 人工智能投资不必崩塌,其对增长的贡献就会减弱;增速放缓即可带来递减的脉冲。
  • 高进口含量限制了人工智能投资对美国增长的直接贡献。
  • 若对未来生产率和盈利的预期消退,支撑股市估值和消费的人工智能乐观情绪可能逆转。

对应原文证据

  1. At the time of this writing, announced capital spending by large U.S. technology companies points to more than $1 trillion of investment in 2026, according to company filings, with roughly $1.5 trillion in additional outlays forecast thereafter. · 2026
  2. We estimate AI-related investment has contributed roughly 1.2 percentage points to the 2.7% average annualized growth in U.S. domestic demand over the same period (see Figure 2).
  3. Using the Federal Reserve’s framework for estimating the growth impulse from financial conditions (see our 30 September 2026 Macro Signposts), we estimate that the equity wealth channel has provided roughly an additional 0.5–0.7 percentage point of support for growth – roughly 1x to 1.5x the growth impulse of the investment itself. · September 2026

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完整研报正文
完整中文译文

宏观路标 | 人工智能投资热潮不止于美国

鉴于全球碎片化加速与地缘政治冲突,许多政府和企业正在投资于韧性建设。这一必要性恰逢人工智能的出现——一项能够拓展可能性边界的技术。因此,技术安全正成为国家经济安全战略的支柱。

正如我们在最新的周期展望《增长保持,风险扩大》中所讨论的,其结果是一波前所未有的投资承诺,用于扩展与人工智能相关的基础设施。截至本文撰写时,根据公司文件,美国大型科技公司已宣布的资本支出指向在2026,中超过$1万亿美元的投资,此后预计还将有大约$1.5万亿美元的额外支出。

但人工智能从来不仅仅是美国的投资故事。基础设施的建设正在支撑美国需求、全球技术供应链的生产,并且越来越多地支撑其他经济体的投资。这使人工智能成为支撑美国和全球扩张的重要来源。

同样,它也正成为一个重要的周期性风险。关键在于,人工智能投资并不一定要崩溃,其对增长的贡献才会消退。因为经济增长取决于支出的变化而非其水平,即使投资仍然高企,如果其增长率放缓,其推动力也可能递减。

下面,我们重点介绍关于人工智能投资周期已在重塑全球经济的三个观察。

但这大大低估了投资热潮本身的规模。我们估计,同期人工智能相关投资为美国国内需求2.7%的平均年化增长贡献了约1.2个百分点(见图2)。换言之,对美国支出的提振远大于对美国生产的提振,因为其中很大一部分支出用于进口商品。

直接投资并非人工智能热潮支撑美国经济的唯一渠道。与人工智能相关的乐观情绪似乎也通过金融状况支撑增长。对未来生产率和盈利提高的预期推动了美国股市的强劲估值,提振了家庭财富并支撑了消费。

使用美联储估算金融状况对增长推动作用的框架(参见我们30年2026月的宏观路标),我们估计,股票财富渠道为增长提供了大约额外的0.5–0.7个百分点的支撑——大约是投资本身增长推动力的1倍至1.5倍。

综合来看,这些估计表明,与人工智能相关的力量为美国增长提供了有意义的支撑,尽管直接的国内投资效应远小于总体资本支出数字所暗示的规模。

换言之,高进口含量限制了人工智能投资对美国增长的直接贡献,但美国同时将部分投资推动力出口到世界其他地区。因此,美国的资本支出热潮正日益支撑一个更广泛的制造业和贸易周期,尤其是在亚洲技术供应链中。

1 François de Soyres、Alex Haag、Mike Liu和Eva Van Leemput。“人工智能基础设施热潮的全球贸易效应。”美国联邦储备委员会FEDS Notes(13年2026月)。返回内容

相关主题

  • 人工智能(AI)
  • 经济
  • 全球
完整英文原文

In light of accelerating global fragmentation and geopolitical conflict, many governments and businesses are investing in resilience. That imperative has coincided with the emergence of AI, a technology that can expand the frontier of what is possible. As a result, technology security is becoming a pillar of national economic security strategy.

As we discuss in our latest Cyclical Outlook, “Growth Holds, Risks Widen,” the result has been an unprecedented wave of investment commitments to expand AI-related infrastructure. At the time of this writing, announced capital spending by large U.S. technology companies points to more than $1 trillion of investment in 2026, according to company filings, with roughly $1.5 trillion in additional outlays forecast thereafter.

But AI was never simply a U.S. investment story. The infrastructure buildout is supporting U.S. demand, production across the global technology supply chain, and increasingly investment in other economies. That has made AI an important source of support for both the U.S. and global expansions.

By the same token, it is also becoming an important cyclical risk. Crucially, AI investment does not have to collapse for its contribution to growth to fade. Because economic growth depends on the change in spending rather than its level, even still-high investment can provide a diminishing impulse if its growth rate slows.

Below, we highlight three observations about how the AI investment cycle is already reshaping the global economy.

But that substantially understates the scale of the investment boom itself. We estimate AI-related investment has contributed roughly 1.2 percentage points to the 2.7% average annualized growth in U.S. domestic demand over the same period (see Figure 2). In other words, the boost to U.S. spending has been much larger than the boost to U.S. production because a significant share of that spending has been on imported goods.

Direct investment is not the only channel through which the AI boom is supporting the U.S. economy. AI-related optimism also appears to be supporting growth through financial conditions. Expectations for higher future productivity and earnings have contributed to strong U.S. equity valuations, boosting household wealth and supporting consumption.

Using the Federal Reserve’s framework for estimating the growth impulse from financial conditions (see our 30 September 2026 Macro Signposts), we estimate that the equity wealth channel has provided roughly an additional 0.5–0.7 percentage point of support for growth – roughly 1x to 1.5x the growth impulse of the investment itself.

Taken together, these estimates suggest that AI-related forces have provided meaningful support to U.S. growth, even though the direct domestic investment effect is considerably smaller than the headline capex figures might imply.

In other words, high import content limits the direct U.S. growth contribution from AI investment, but the U.S. simultaneously exports part of the investment impulse to the rest of the world. The U.S. capex boom is therefore increasingly supporting a much broader manufacturing and trade cycle, particularly across the Asian technology supply chain.

1 François de Soyres, Alex Haag, Mike Liu, and Eva Van Leemput. “The Global Trade Effects of the AI Infrastructure Boom.” U.S. Federal Reserve FEDS Notes (13 February 2026). Return to content

Related Topics

  • Artificial Intelligence (AI)
  • Economics
  • Global
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本页的结论、论点、数字与风险由 Tlines 从 PIMCO 于 2026/10/15 发布的研报中提取并结构化,用于横向比较。机构原文可通过本页来源链接访问。最后更新于 2026/10/17。方法论 · 来源政策 · AI 使用说明 · 申请更正