Article 6MDKJ Meta's Value Plummets As Zuckerberg Admits AI Needs Time

Meta's Value Plummets As Zuckerberg Admits AI Needs Time

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Arthur T Knackerbracket has processed the following story:

Meta's shares tumbled after company boss Mark Zuckerberg said the quiet bit out loud: it will take a while before AI bets start paying back the huge financial investments it is making.

At first glance, results for the first calendar quarter of 2024 looked promising. Revenue was up 27 percent year-on-year to $36.5 billion, operating profit almost doubled, climbing 91 percent to $13.8 billion, and operating margin jumped from 25 percent to 38 percent.

Analysts would also normally have looked kindly upon the 10 percent drop in headcount, down to 69,329 by March 31, 2024.

However, an otherwise rosy set of results was blighted first by the admission that Meta expects losses from its VR division, Reality Labs, to continue increasing - the operating loss was $3.8 billion for Q1 - and capital expenditure for 2024 is to increase from between $30-$37 billion to $35-$40 billion "as we continue to accelerate our infrastructure investments to support our artificial intelligence (AI) roadmap."

[...] It was not what analysts wanted to hear, and the company's stock was pummeled in after-hours trading. Having closed at $493.50, it stood at $424.56 at the time of writing, a fall of more than 14 percent.

Other companies in the tech sector have bet big on AI, and the hype around the technology has become relentless. Microsoft, for example, has poured billions into OpenAI and crowbarred the technology into many of its products, and is trying to convince customers of the value.

[...] That said, Meta does have a particular set of problems. The CEO pointed out that it usually takes a while for the company to monetize a new product, which is fair enough until considering the ongoing losses from Meta's Reality Labs division, which is responsible for the Quest VR headset line.

The Metaverse gamble has yet to pay off. The drop in value after the results could be an early sign that investors are unwilling to wait too long for AI revenues to come close to promises.

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