Financing of historic AI buildout raises systemic risks in US, researcher says研究人员称,为历史性人工智能建设提供融资会加剧美国的系统性风险。
WASHINGTON, Sept 24 (Reuters) - The artificial intelligence buildout is on track to require a larger share of US output than the rollout of electricity, railroads, interstate highways or the internet, with an increasingly complicated financial structure that poses potentially systemic risks, according to a new study.

FILE PHOTO: The words "AI Artificial Intelligence," a keyboard and a robotic hand are shown in this illustration created on June 5, 2026. REUTERS/Dado Ruvic/Illustration/File Photo
WASHINGTON, Sept 24 (Reuters) - The artificial intelligence buildout is on track to require a larger share of US output than the rollout of electricity, railroads, interstate highways or the internet, with an increasingly complicated financial structure that poses potentially systemic risks, according to a new study.
What had been paid for out of the cash stockpiled by companies like Amazon.com, Meta Platforms and Alphabet's Google has morphed into an expansion that will consume around 3.6% of gross domestic product annually through 2032, or more than $10 trillion, and is using ever more intricate financing arrangements, Stijn Van Nieuwerburgh, a finance and real estate professor at Columbia Business School, wrote in a paper prepared for a Brookings Institution conference this week.
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资料图片:这张创作于2026年6月5日的插图显示了“AI”(人工智能)字样、键盘和机械手。路透社/Dado Ruvic/插图/资料图片
华盛顿,9 月 24 日(路透社)——一项新的研究表明,人工智能的建设将比电力、铁路、州际公路或互联网的推广需要占用美国产出的更大比例,而且其金融结构日益复杂,可能带来系统性风险。
哥伦比亚商学院金融和房地产教授斯泰恩·范·尼乌韦尔伯格在本周为布鲁金斯学会会议准备的一篇论文中写道,亚马逊、Meta Platforms 和 Alphabet 旗下的谷歌等公司积累的现金所支付的费用,已经演变成一种扩张,到 2032 年,这种扩张每年将消耗国内生产总值的 3.6% 左右,即超过 10 万亿美元,并且正在使用越来越复杂的融资安排。
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