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Welcome to Tech News Briefing. It's Monday, January the 13th. I'm James Rundle for the Wall Street Journal.

Self-driving cars can perform well in ideal conditions, such as the sunny streets of Phoenix.

But when it comes to ice and snow, they can struggle. We'll hear why one company thinks smarter tires may be the solution. And then

generative artificial intelligence is being rolled out in earnest by major companies, covering everything

from financial analysis to marketing and customer service. WSJ reporter Bell Lin joins us to talk

about how some companies are using the tech right now to save money

and in some cases replace humans.

But first, while autonomous vehicles or AVs are now common sites in the Bay Area, they haven't

seen the same success in colder parts of the US.

That's because, among other reasons, AVs often struggle with

understanding the particulars of driving in snowy or icy conditions. WSJ reporter Isabel Biscett

joins us to talk about how Tymaker Good Year is developing new tech aimed at solving these problems.

So Isabel, what has been the issue with AVs and how they handle conditions like cold and ice?

One of the biggest problems is actually the braking system.

So cars take longer to break when there's inclement weather, when there's snow or ice or wet streets.

And that's one of the things that self-driving cars have struggled to account for so far.

And they don't always know the conditions of the tires or what type of tires they have.

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