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Home.forex news reportMeta Platforms Stock Dips on AI Model Worries. Time to Buy?

Meta Platforms Stock Dips on AI Model Worries. Time to Buy?

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Shares of Meta Platforms (NASDAQ: META) took a hit this week following reports that the social media giant is delaying the rollout of its newest custom artificial intelligence (AI) model.

According to The New York Times, the model — code-named Avocado — fell short of internal benchmarks when compared to leading models from rivals like Alphabet and OpenAI. The company is even reportedly considering temporarily licensing Alphabet’s Gemini model to power its AI products in the meantime to bridge the performance gap.

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For a stock that has commanded a premium valuation largely due to its perceived leadership in the AI race, the headline naturally spooked some investors.

But a step back reveals a different reality. The underlying business is firing on all cylinders. And, even more, management has already prepared for this exact scenario.

So, despite the market’s pessimistic reaction, is this dip a buying opportunity?

Servers inside of a data center.
Image source: Getty Images.

While the delay of a flagship AI model is not ideal, it is far from a disaster for Meta. A company spokesperson noted that the company’s next model will still demonstrate rapid progress.

More importantly, investors shouldn’t be entirely surprised if the timeline for achieving highly advanced AI models stretches out. Meta CEO Mark Zuckerberg explicitly warned investors about this possibility two quarters ago.

In a call with investors last October, Zuckerberg detailed some contingencies for its massive compute build-out plan.

“If it takes longer, then we’ll use the extra compute to accelerate our core business — which continues to be able to profitably use much more compute than we’ve been able to throw at it,” Zuckerberg explained. “And we’re seeing very high demand for additional compute both internally and externally.”

The company anticipated that the path to next-generation AI might not be perfectly linear, and it prepared accordingly.

The biggest fear surrounding Meta’s massive spending is that the company is overbuilding.

In January, Meta guided for 2026 capital expenditures of $115 billion to $135 billion. To put that massive absolute capital expenditure figure into perspective, the midpoint of this guidance range represents about 8% of the company’s entire market capitalization. If custom AI models get delayed, isn’t all that spending a waste?



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