Why Things Could Get Worse for EV Startups

WSJ Tech News Briefing

The Wall Street Journal

News, Tech News

4.6 • 1.6K Ratings

🗓️ 6 December 2024

⏱️ 12 minutes

🔗️ Recording | iTunes | RSS

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Summary

Rising costs, supply-chain issues and cooling consumer demand were hammering electric-vehicle startups even before the November election. WSJ reporter Amrith Ramkumar explains how President-elect Donald Trump’s return to the White House could squeeze them even more. Plus, the data centers required for training and operating artificial intelligence models need huge amounts of electricity and water. We’ll hear how AI companies are trying to cut back on their resource needs. Danny Lewis hosts. Sign up for the WSJ's free Technology newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

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0:00.0	AI is coming to your industry if it isn't already here, but AI needs lots of speed and computing power, so how do you compete without cost spiraling?
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0:25.1	For new U.S. customers with minimum financial commitment, offer ends 1231-24.
0:30.8	See if your company qualifies at Oracle.com slash Wall Street.
0:38.2	Welcome to Tech News Briefing.
0:40.3	It's Friday, December 6th.
0:42.1	I'm Danny Lewis for the Wall Street Journal.
0:44.5	Artificial intelligence is hot, literally.
0:47.6	The data centers AI companies rely on to train and run models like ChatGPT consume
0:52.9	huge amounts of electricity and water to power their
0:55.8	chips and cool them down. We'll hear what AI developers are doing to cut back on their energy use.
1:02.3	And then, it hasn't been a good time lately to be an electric vehicle startup, thanks to rising
1:06.9	costs, supply chain obstacles, and cooling customer demand. And now with President-elect
1:12.7	Donald Trump, an outspoken EV critic, returning to the White House, the situation could get
1:18.4	worse for many young EV companies. WSJ reporter Amrith Ramkimer breaks down the state of the EV
1:24.6	industry. But first of the EV industry.
1:34.8	But first, the AI industry makes a lot of promises for how the tech could transform everyday life.
1:38.0	But developing that tech takes a lot of resources.
1:43.9	According to projections from consulting firm McKinsey, the data center's AI companies rely on use as much as 4% of
1:45.8	total electricity in the U.S. annually, and that could rise to as high as 12% in 2030.
	...

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