Fortune | FORTUNE 10月24日 00:30
AI热潮推高家庭水电账单
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人工智能的蓬勃发展正悄然增加消费者的能源支出。根据美国银行研究所的数据,2025年第三季度,家庭平均水电账单同比上涨3.6%。这不仅是由于电力和天然气价格上涨,更主要的原因是AI发展所需的大量数据中心建设,这增加了整体的电力需求和电网投资。这些基础设施的建设成本最终会转嫁到所有用户(包括家庭、商业和工业)的水电费账单中。尽管有巨额资金投入AI基础设施建设,但电力供应仍难以满足快速增长的需求,预计家庭水电账单可能还会继续上涨,对消费者支出构成压力。

⚡️ AI发展导致数据中心激增,增加电力需求:人工智能技术的飞速发展催生了对庞大数据中心的需求,这些数据中心是支撑AI模型训练和运行的关键基础设施。据美国银行研究所的报告,这些数据中心的建设和运营极大地增加了电力消耗,成为推高家庭水电账单的重要因素之一。

📈 电力供应紧张推高水电账单:AI驱动的数据中心建设以及制造业的增长,对电网的整体电力供应能力提出了更高要求。为了满足日益增长的电力需求,需要对输电和配电网络进行大量投资和升级。这些基础设施的成本被纳入电网的整体运营成本,最终通过电价传导给所有用户,导致家庭水电账单的上涨。

💰 巨额投资与供应缺口并存:科技巨头和相关企业正投入巨额资金建设和升级AI基础设施,如OpenAI的Stargate项目和各大科技公司的数千亿美元投资。然而,电力供应的增长速度未能跟上AI需求激增的步伐。新建发电和输电设施需要大量的资本投入和满足严格的监管要求,导致供应缺口持续存在,预计未来水电账单可能进一步上涨。

📉 对消费者经济的潜在影响:随着AI热潮持续,家庭水电账单的上涨可能会对消费者的可支配收入造成进一步压力,尤其是在低收入家庭。持续显著的水电费上涨可能成为整体消费者自由支配支出的一个不利因素,影响经济的整体健康发展。

Silicon Valley may be pumping billions into the AI boom, but it seems consumers are inadvertently paying a share too.

A note from the Bank of America Institute titled “AI sparks a rise in utility bills” details how average utility payments have risen 3.6% year-on-year in Q3 2025: “Rising consumer prices for electricity and gas suggest bill pressure could intensify in the coming months, depending on how the winter weather shapes up.”

But compounding the issue of rising prices in the consumer sector alone is the increasing demand for electricity generation capacity—and investments into the grid—as a whole. This need for capacity and grid investment, writes BofA’s David Tinsley, is the result of building data centers to support the massive boom in artificial intelligence.

“An important question both for understanding current utility bills and how they will evolve is whether energy demand—most obviously electricity—from the explosive growth in AI and the associated build-out of data centers is also pressuring residential bills?” Tinsley wrote. “BofA Global Research sees manufacturing and data centers as important drivers of electricity demand over the next 10 years. Also worth noting—increasingly residential electrification, including in vehicles, is also pushing electricity demand up.”

But Tinsley adds that prices are pulled up by greater demand more broadly on the power network: “Rising demand for electricity from both data center development and manufacturing growth is already being reflected in residential customer rates. The impact runs through the spending on enhancements to the transmission and distribution grid required for data center build-outs, which is incorporated into the tariffs of all the ratepayers (residential, commercial and industrial) on the system, and then into both higher energy and capacity pricing.”

A vast amount of private sector money is due to be pumped into the economy in order to address the infrastructure needed to power the AI wave. The Stargate Project alone, announced in January this year, will invest $500 billion over the next four years into building new AI infrastructure for OpenAI in the U.S.—with founding equity funding partners including OpenAI itself as well as SoftBank and MGX.

On top of that tech giants including MicrosoftGoogleAmazonMeta, and Nvidia have poured tens of billions of dollars into building and upgrading data centers in a bid to stay ahead in the AI race and keep up with the booming demand for new products and LLMs. Indeed, the investment has been so massive that without data centers, America’s GDP growth in the first half of 2025 would have been just 0.1% on an annualized basis, according to Harvard economist Jason Furman.

But the question still remains: Even with the billions being pumped into infrastructure, when will the supply of power catch up with demand for it?

Tinsley had bad news for consumers: “There is likely further upside ahead.”

“Electricity supply is still struggling to catch up with the rapid increases in demand because of the capital intensity and regulatory requirements around building more generation and transmission capacity,” he explained.

The economist added that times of peak demand will continue to push prices higher, and that while solar generation and storage will be able to plug some of the gaps, they do not offer the long-term solution needed to keep the lights on (literally) in both America’s homes and its data centers: “At a time when lower-income households are already under pressure from slowing wage growth, rising electricity and gas bills would be another headwind. But, more broadly, rising utility bills could be a headwind to overall consumer discretionary spending if rises are significant and persistent.”

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AI 人工智能 能源消耗 水电账单 数据中心 电网投资 消费者支出 AI boom utility bills data centers grid investment consumer spending
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