Transcript
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AI is transforming industries, but the data centers powering it require more energy and water than ever. At the break, join Christophe Beck, chairman and CEO of Ecolab, for insights on using water effectively while safeguarding this critical resource for future generations.
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Welcome to Tech News briefing. It's Friday, January 30th. I'm Katie Dayton for the Wall Street Journal. Meta and Microsoft have both spent billions on artificial intelligence in recent months. And now that investment is finally reflected in a rising share price for one of them. We're taking a look at why the stock market fortunes of these two tech powerhouses are diverging so sharply. Then a small group of companies are betting that your old E bikes and hard drives could help combat China's chokehold on the rare earth metal industry. Stay with us to find out how it could work. But first, Microsoft and Meta have been in the doghouse with investors recently. They're the two biggest spenders when it comes to AI at a time when the market is starting to question just when all that investment will pay off. But this week, something shifted. Meta reported record quarterly sales and saw its stock price climb. But it was a different story for Microsoft. Here to break it down for us is WSJ Heard on the street columnist D. Dan Gallagher. So, Dan, earlier this week we had earnings reports from Meta and Microsoft that both slightly exceeded Wall Street's expectations for their December ended quarter. But the markets reacted very differently to each company.
C (1:37)
What happened in this case, I boil it down to simplicity versus complexity. Meta. 98% of their business is advertising. They've been able to like, use AI in ways to like, improve that, drive more engagement, better targeting and so forth. And that's showing up in their growth. And they projected a really strong essentially growth acceleration for the first quarter, which kind of sold the message that AI is actually helping them. And it gave them essentially a pass on what's been this spending. All of the companies have been spending a ton on AI. Meta is spending the most relative to its revenue and it's going to spend even more. Like this year is probably going to spend more than half of its revenue on Capex, which is an obscene amount for these companies. But the stock is up because investors think AI is actually paying off for them.
B (2:27)
And what about Microsoft?
C (2:28)
Microsoft has this like more complex business model where they do software for large corporate customers. For consumers, there's these mix of like cloud contracts. They even sell things like Xbox. That's in that mix too. So it's a pretty complicated setup. And they're trying to use AI in a number of ways. One, they're trying to develop internally to make their own processes better. They're powering AI computing for companies like OpenAI, which is a very big customer for them. And they're also trying to drive people like us to use things like Copilot at work. Copilot is their AI software that we can use to run spreadsheets, make PowerPoints, all these sorts of things. So they have this kind of more complex task. And one thing the recent report showed is that all these companies don't have as much AI computing capacity as they'd like to have. They talk about being capacity constrained, and Microsoft has had to make that different parts of that capacity available for different parts of its business. And they intentionally decided not to put as much capacity towards its cloud business. That's the most closely watched by investors. So the cloud revenue growth wasn't quite what investors wanted to see. And that's why you're seeing the stock sell down a lot on that report. Driving AI adoption is just trickier for them because ultimately it's going to depend on how many businesses adopt AI, use it in a way that drives business to Microsoft, and that's just a longer thing to do.
