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工信部：我国已经有近200项人工智能关键标准成功研制_我的网站

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    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26日，国务院新闻办公室举行“开局起步‘十五五’”系列主题新闻发布会，介绍全力抓好“十五五”规划实施，加快推进新型工业化有关情况。　　工业和信息化部副部长辛国斌在会上介绍，近年来，我国人工智能产业活力迸发、亮点纷呈，正在为经济增长注入强劲“智能动力”。　　从基础上看，我国算力底座持续夯实，截至6月底，智能算力规模达2185EFLOPS，围绕算力枢纽建成70余条算力大通道。国产开源模型创新突破、性价比高，成为更多全球用户的优先选择。　　从应用上看，人工智能已经基本贯穿研发设计、生产制造、质检运维等全链条，加速产业“智”变升级。通过实景实训，已经让机器人在生产制造、应急救援、餐饮服务等场景开启“作业模式”。周末刚刚圆满闭幕的2026世界机器人大会上，很多应用场景已经生动呈现。22日开幕的世界人形机器人运动会也是一票难求、盛况空前。　　从治理上看，已经有近200项人工智能关键标准成功研制，正在组织多个城市开展人工智能伦理审查与服务实践，近期发布的《国际人工智能伦理治理行动计划》也得到许多国家积极响应。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。    。

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