首页 > 调查 > 正文

今日看世界

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

极速之巅

一 |     

Illustration: Liu Xiangya/GT
    Illustration: Liu Xiangya/GT
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]

。      讯 8月14日,江西省政府新闻办、鹰潭市人民政府联合召开“奋进‘十五五’‘赣’出新精彩”系列新闻发布会:做强铜基产业标杆 深化城乡融合示范 全面推进鹰潭“十五五”现代化建设新闻发布会。  会上,鹰潭市委副书记、市长王亚青介绍,展望“十五五”,将对标省委、省政府赋予的战略定位,以国家级铜基新材料集群建设为总牵引,集中力量实施五大工程,加快构建特色鲜明、优势突出的现代化产业体系,在全省工业强省建设中展现鹰潭担当、贡献鹰潭力量。  一是实施集群提能工程。强化“全国再生铜原料集散中心、全国领先的铜基新材料科技创新与成果转化中心、全国重要的铜基新材料生产应用高地”三大战略支撑,着力塑造集群新优势、培育发展新动能、锻造智造新能力、营造产业新生态、提升治理新水平,力争铜产品产量稳定在1000万吨左右,铜基新材料产品产量占比提升至60%,加快向世界级先进制造业集群迈进。  二是实施新兴赛道拓展工程。在巩固铜产业主导优势的基础上,推动电子信息(物联网)、高端装备、智能眼镜等特色产业集群成链,培育一批百亿级增长板块。

二 | 同时紧扣新质生产力发展方向,推动铜基新材料与AI算力、5G/6G基站、人形机器人等前沿领域深度融合,在17个细分赛道精准布局、抢占先机。

三 |   三是实施创新驱动工程。以“世界铜都创新谷”为主阵地,构建“研发—中试—转化”全链条创新通道,强化企业创新主体地位,集中力量攻克3微米以下超薄铜箔、高强高导铜合金、铜基复合材料等一批关键核心技术,培育更多细分领域的“隐形冠军”,真正让科技创新成为产业升级的核心引擎。  四是实施数智深化工程。统筹推进企业智改、链式协同、集群升级等六大行动,推动智能化改造从企业单点突破向产业链全链条覆盖升级。重点布局工业大模型在质量检测、工艺优化、能耗管控等场景的深度应用,以数字技术为传统产业赋能增效,让“智造”成为鹰潭工业的鲜明标识。  五是实施生态提质工程。持续强化土地、人才、金融、物流等要素保障,建强用好鹰潭国际陆港、保税物流中心(B型)、国家铜检中心等一批高能级平台,全力打造市场化、法治化、国际化一流营商环境,充分激发各类市场主体活力,让企业在鹰潭放心投资、安心经营、专心发展。版权申明:凡注有“”或电头为“”的稿件,均为独家版权所有,未经许可不得转载或镜像;授权转载必须注明来源为“”,并保留“”的电头。    。

四 |

Current article:http://o452.cengzaodengchawonin.cyou/list_vao/mq3jly.html

Published on:00:00:00


[责任编辑: 戏扁纯]

评论

 
[ 서울시, 불꽃축제 앞두고 호텔 ‘바가지 요금’ 단속…위반 시 영업정지 ]  [ 比特币价格自5月以来首次触及8万美元 ]  [ 真矢さん訃報発表から一夜、メンバーが改めて悲痛コメント「本当に寂しい…」「真ちゃんのために」 ]  [ 复旦大学造出“超级视频剪刀手”:同时追踪20个目标,速度还跟追一个一样快 ]  [ 从“慢综艺鼻祖”到“爆改失败”,《向往的生活》再也“回不去”了? ]  [ 度小满维鲁斯,恶意扣款99 ]

 
  • 关于我们 | 我的网站 版权所有

    Copyright ? 2019 我的网站 All Rights Reserved