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一 |  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] 。 AI摘要 福州完成鼓楼、仓山不动产登记窗口进驻，中心城区个人业务实现四区政务中心全城通办，企业业务统一在市政务服务中心办理。通过优化网点布局及推行线上服务，进一步提升登记便利度与审批效能。
二 | 记者23日从福州市不动产登记和交易中心获悉，通过深化“放管服”改革，推进登记服务下沉基层，完成鼓楼区、仓山区政务服务中心不动产登记窗口进驻，福州中心城区已经形成不动产登记服务网点新格局：个人登记业务在市政务服务中心及鼓楼区、仓山区、晋安区政务服务中心实行全城通办；企业（单位）登记业务统一在市政务服务中心办理。 以往，福州的不动产登记办理点相对集中，高峰时段排队等候时间偏长，不少群众办理登记业务需要跨区域奔波。为推进政务服务便利化，打通便民服务“最后一公里”，市不动产登记和交易中心统筹优化网点布局，推动高频个人登记业务下沉城区政务大厅。
三 | 为服务企业办事，市不动产登记和交易中心依托市政务服务中心设立不动产登记企业服务专区，推行“1+N”集成服务模式，整合关联办事事项，理顺业务链条、精简办理环节，为企业提供业务咨询、上门指导、全程协办等专属服务，降低企业办事制度性成本，提升不动产登记审批效能。与此同时，依托“e福州”、闽政通等平台，推行“线上预审、线下核验”模式，推进线上线下服务融合，进一步减少办事跑动，提升登记办理便捷度。 Current article:http://8ib3w.jiubengtaibingpengou.pics/fi3maz/20260826/7209.html Published on:22:46:24 |
