FlexiLingo
What’s at stake in AI’s trillion-dollar gamble
- 纪实
- 商业与财经
The AI hyperscalers will likely spend more than $1 trillion on data centers next year. Can they make enough money to sustain the infrastructure boom? This story was written by David Rotman and narrated by Noa - newsoveraudio.com. Listen to more of the world's best journalism on the Noa app
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B2 · 中高级
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- 每分钟 153 词：自然语速。
- 整集共有 174 个较难的单词（B2 及以上）。
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Every week, we'll bring you a fascinating, new, in-depth story from the leading edge of science
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这一集适合你吗？
B2 · 中高级
能看懂电视新闻就会觉得轻松
- 76% 的单词在 B1 或更简单的水平。
- 每分钟 153 词：自然语速。
- 整集共有 174 个较难的单词（B2 及以上）。
文字稿
本集开头部分。完整文字稿在播放器中。
较难的单词（B2+）
Welcome to MIT Technology Review Narrated. My name is Matt Honin. I'm our editor-in-chief. Every week, we'll bring you a fascinating, new, in-depth story from the leading edge of science and technology, covering topics like AI, biotech, climate, energy, robotics, and more. Here's this week's story. I hope you enjoy it.
David Rotman writes, What's at stake in AI's trillion-dollar gamble? When Jessica Wachter, a finance professor at the University of Pennsylvania's Wharton School, wanted to assess AI's impact on the economy over the next few years, she faced a long list of business and technical uncertainties.
So she started with what she calls a remarkable fact that is not in question. A handful of so-called hyperscalers are investing huge sums of money to build AI data centers. Instead of trying to predict how useful and widely deployed AI models will be, she simply asked how fast the hyperscalers' earnings will need to grow to justify their spending
以上是开头部分。 本集其余部分（21 分钟）在播放器中：每个单词都可点击，附翻译、生词收藏和单词卡。
在播放器中继续由音频自动生成，可能存在错误。 音频版权归其发布者所有，并从其订阅源播放。版权所有者可申请删除 — 版权与删除政策