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Can US afford cost of clean-energy protectionism in race for AI capabilities?_我的网站

A | 本文来自:界面新闻,作者:辛圆,题图来自:视觉中国 据央视新闻消息,法国文化部长达蒂当地时间19日表示,当天早上巴黎卢浮宫开馆时发生一起持械抢劫事件,暂无人员受伤报告。

Recent media reports have questioned whether a natural gas plant built to power an Amazon data center project in Texas could become the largest climate polluter in the US. The controversy, whatever the eventual outcome, offers a reality check for America's artificial intelligence (AI) drive.
It exposes a growing contradiction: The US is racing to expand its AI capabilities, yet its protectionist trade policies are making it harder and more costly to access some of the clean-energy technologies needed to sustain that expansion. This raises a broader question: Can an energy-intensive AI race afford the costs of renewable energy protectionism?
The US is entering a new era of rising electricity demand. Data centers, the backbone of the AI economy, are emerging as one of the fastest-growing sources of power consumption. Much of that demand is still being met by fossil fuels: The International Energy Agency reports that natural gas supplies more than 40 percent of the electricity used by data centers in the US, making it their largest source of power.
So, it's not surprising that the expansion of data centers has raised concerns over their environmental impact and the pressure they could place on local power systems and electricity bills. A Gallup survey conducted in March found that seven in 10 Americans opposed the construction of AI data centers in their local area, including 48 percent who strongly opposed such projects.
The findings point to a broader challenge for the US: The race to develop AI is increasingly becoming a race to meet growing energy needs. Addressing this challenge will require more than advances in computing technology; it will also depend on an energy system capable of delivering large amounts of reliable, affordable and cleaner power. That, in turn, will require faster development and broader deployment of clean-energy technologies, from solar power to energy storage.
Yet in the clean-energy sector, the US has increasingly relied on protectionist trade measures that limit access to cost-competitive products from global markets. The country has placed greater emphasis on expanding domestic manufacturing capacity, but rebuilding entire clean-energy supply chains at home is a costly and time-consuming process. Even if expanded domestic production is achieved, it is likely to come at a higher cost, making the deployment of renewable technologies more expensive and potentially slower.
The solar industry offers a clear illustration of this policy direction. The US has continued to expand trade barriers in the sector. Reuters reported that the US government announced on Thursday a series of price floors and a 15 percent tariff on products made from polysilicon, a raw material used in solar panels.
The challenge lies in the limited scale of the US polysilicon industry. Reuters reported that the country has two polysilicon factories. Against this backdrop, relying on domestic polysilicon production while restricting access to imports runs counter to the goal of expanding solar power in the US. The country risks creating barriers that ultimately constrain its own access to the global supply chains needed for growth.
The pressing issue for the US is the speed at which new power demand is emerging. The expansion of data centers is creating electricity needs that cannot wait for domestic clean-energy capacity to develop gradually. Global supply chains can provide the scale and speed required in the near term. By narrowing access to these sources, the US risks turning clean-energy policy into a drag on the infrastructure needed for its AI race.
The US has placed AI high on its economic and technological agenda. The outcome of this race will matter greatly, as financial markets are also watching whether America can turn its AI efforts into commercial success.
This leaves the US with a difficult choice: Can it afford the cost of clean-energy protectionism while racing to build AI infrastructure? The answer may be no. Trade barriers that limit access to competitive renewable technologies could ultimately become a constraint on the AI expansion that Washington is seeking to accelerate.
The author is a reporter with the Global Times. [email protected]
。她已赶赴现场,与博物馆及警方人员一同了解情况,目前调查正在进行中。 卢浮宫博物馆发布消息称,由于特殊原因,博物馆今日将暂停对外开放。

B | 据法国《巴黎人报》引用消息人士的话报道,几名蒙面者从博物馆外一施工处破窗而入,盗走9件拿破仑时期的珠宝后逃离。

C | @CCTV国际时讯发布消息称:据法国媒体援引警方调查初步线索及卢浮宫内部人士消息,当地时间19日清晨,数名蒙面嫌犯从塞纳河一侧的施工区闯入巴黎卢浮宫,利用电梯进入阿波罗画廊展区,打碎玻璃后盗走多件藏品。

D | 法国内政部长洛朗·努内兹证实,嫌犯盗走了极其珍贵的珠宝,作案过程仅持续约7分钟。努内兹表示,卢浮宫发生的重大持械抢劫案暴露出法国博物馆体系“存在较大安全脆弱性”。他透露,警方正全力追查作案人员,不排除嫌犯为外国人的可能。 卢浮宫是世界上最古老、最大、最著名的博物馆之一,始建于1204年,历经800多年扩建重修达到现如今的规模,位于法国巴黎市中心的塞纳河北岸,其馆藏覆盖西方艺术史上的大量艺术珍品。
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