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【吉田響独占インタビュー２】豪快な激走のち救護室直行も回復で丼飯を豪快に食らう_我的网站

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A | ◆報知新聞社後援　第１４回大阪マラソン（２２日、大阪府庁前スタート、大阪城公園内ゴール＝４２・１９５キロ）　ジブチのイブラヒム・ハッサン（２９）が２時間５分２０秒の大会新記録で優勝。

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]

。平林清澄（２３）＝ロジスティード＝が２時間６分１４秒で日本人トップ５位だった。　初マラソンで日本記録（大迫傑、２時間４分５５秒）を目指すことを宣言していた吉田響（２３）＝サンベルクス＝は有言実行で、超積極的なレースを展開した。７・８キロでペースメーカーの前に出て先頭に立ち、独走。３５キロ以降に失速し、２時間９分３５秒で３４位に終わったが、成績以上のインパクトを残した。

B | 　日本マラソン史に残る激走だった。吉田響はゴールと同時に倒れ、車いすで医務室に運ばれた。

C | 約１時間後、ホテルに戻った吉田響は食事を取れるまでに回復。さらに、ゴールして約５時間後には、スタッフと共に慰労会に参加。飲酒はしないが、大盛りの丼飯を豪快に食べて、元気な姿を見せた。スポーツ報知の取材に応じ、応援してくれたファンに感謝の思いを明かした。　吉田響「皆さんの期待にお答えすることができず、残念ですが、マラソンはやばいということも、楽しいということも知りました。とても、良い経験になりました。ありがとうございました。ゴール後、車いすで運ばれて、ご心配をおかけしましたが、元気です。ご飯が、とても、おいしいです！」。