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TechCheck

The Week AI Got Real (For Profits) 5/26/23

TechCheck

CNBC

Disruptors, Cnbc, Investing, Tech, Management, Business, Technology, Faang

4.566 Ratings

🗓️ 26 May 2023

⏱️ 4 minutes

🧾️ Download transcript

Summary

AI is in its peak hype cycle stage, but this was the week it also started to matter to companies’ bottom line. Nvidia’s blockbuster quarter and then Marvell showed that AI is creating real revenue right now. But what about the real costs for all those Nvidia customers who are buying silicon to up their server game? We look at the different players and how investors are absorbing the changes.

Transcript

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0:00.0

AI may still be in its hype cycle, but companies are booking revenue and making forecasts

0:09.0

now because of it.

0:10.1

Dear Durbosa, looking at the week AI got real on Wall Street for today's Tech Check,

0:15.4

dear Joe, this is one we're going to remember, huh?

0:17.4

Exactly, this may be the week we remember and say everything suddenly got real and yes

0:21.6

folks are going to say especially here in

0:23.4

technology that it's been here for years it's changed the way we search and

0:27.0

choose movies but dollar and sense-wise what investors care about the market

0:32.0

really started to see its impact this week in the hundreds of millions and billions

0:35.6

of dollars.

0:36.6

Most glaringly, Envidia, Bank of America this morning writes,

0:39.5

Envidia pulled forward the substance of the theme and raise the bar.

0:43.3

So if your company is still randomly saying AI on conference calls with no actual users,

0:48.0

product revenue, revenue roadmap, the market will sniff you out. Enter Marvell's number. Last night it reported that

0:55.4

AI revenue is expected to double this year to 400 million dollars.

0:59.3

Notes generative AI is driving multi-year demand for custom silicon.

1:03.0

25% pop today, more than that now, 27%.

1:06.1

On the other side of that equation, though,

1:07.3

we are seeing artificial intelligence cost companies money also,

1:11.0

Microsoft, Amazon, Google, Cloud units, hyperscalers.

1:14.2

They need to now upgrade their servers and infrastructure on the back so that their customers

1:18.6

can run their own generative AI models.

...

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