• Meta spent $34.91 billion in capital expenditures in its third quarter.
• The company is spending big on data centers and other infrastructure for its AI development.
• Meta predicted $135-145 billion in capex for 2026, aligning with analyst expectations.

Meta is making it rain for AI.

The company spent $34.91 billion in capital expenditures during the third quarter of 2026. That's up from the second quarter's sum, $31.08 billion.

For the year 2026, Meta said it expects to spend between $135-145 billion in capital expenditures, narrowed from its prediction of $130-145 billion last quarter.

Meta's forecast includes the yearly capex prediction that analysts expected: $139.79 billion.

As Meta bets big on AI, it is investing heavily in its development. It has built massive, costly data centers and spent big on computing power.

The spending uptick was expected. On the "Cheeky Pint" podcast earlier this month, CEO Mark Zuckerberg recounted early conversations about the investment — and said he'd bet up to $200 billion on AI, before he knew the models would work.

Investors haven't loved Meta's massive capex forecasts in past quarters. The stock tumbled almost 10% last quarter after earnings per share missed Wall Street estimates, and sank 6% the quarter before on raised capex guidance.

This quarter, Meta has a new hero product: Muse.

The AI assistant has reached over 2 million daily users and 3 million downloads. It quickly scaled the App Store. Muse users told Business Insider they chatted with it to help plan trips and ace exams.

The energy around the company is ebullient, as Alexandr Wang, Meta's chief AI officer, continues to post memes of Muse's squishy-looking mascot.

At Meta's Connect keynote event in September, Zuckerberg said Muse "has a novel business model."

"We believe that Muse will make you money, and we're standing behind this by making Muse free for a huge number of tokens with the expectation that over time, we will profit by taking a small fee from transactions," he said.

Muse could help justify the capex guidance for some investors. The stock was trading up 4.12% after-hours at the time of publication.

• Fireworks AI is an AI-infrastructure startup founded by former Google and Meta AI engineers.
• The company is seeking to raise a new round of funding at a valuation between $30 billion and $40 billion.
• Fireworks AI was last valued at nearly $18 billion in July of this year.

Fireworks AI is seeking to raise fresh funding at a valuation between $30 billion and $40 billion, a dramatic jump just months after the AI-infrastructure startup was valued at $17.5 billion, according to people familiar with the matter.

The potential valuation leap reflects investors' appetite for the companies selling the computing power and tools fueling the AI boom, even as Fireworks AI works through the fallout from a recent security incident.

The talks around the financing are still early, and valuation targets could still change. Fireworks declined to comment.

Founded in 2022, Fireworks was built by veterans of Meta and Google's AI efforts. Chief executive Lin Qiao previously led the PyTorch team at Meta, while cofounders include former Meta infrastructure engineers and a former leader of Google's Vertex AI. The company rents out computing infrastructure and software that lets businesses run, fine-tune, and deploy open-weight and custom AI models.

In July, Fireworks announced a $1.5 billion Series D funding round at a $17.5 billion valuation, led by Atreides Management, Index Ventures, and TCV, with participation from Nvidia, Lightspeed Venture Partners, Bessemer Venture Partners, and Menlo Ventures. That round followed a $250 million Series C at a $4 billion valuation in late 2025, co-led by Lightspeed, Index, and Evantic. Last month, The Information reported that Fireworks has been considering a round at a $30 billion.

Rather than trying to build a consumer chatbot to rival ChatGPT, Fireworks sells what it calls specialized intelligence: models customized on a customer's proprietary data, workflows, and use cases. The company said in July that it had surpassed $1 billion in annualized revenue and was serving more than 40 trillion tokens a day; it said 95% of those tokens came from models tailored to customers.

The company operates in a highly competitive layer of the AI stack. Rivals include model-infrastructure startups such as Together AI, Baseten, and Replicate, as well as cloud giants such as Amazon Web Services, Google Cloud, Microsoft Azure, and Oracle.

The fundraising talks come shortly after a security incident at Fireworks AI. The company said it identified unauthorized use of internal credentials earlier this month that allowed an intruder to access data from some customer accounts.

"We take this seriously and will be transparent about what happened and what we find," Qiao posted on X. "I'm personally committed to turn this attack into the most formidable security response in AI Infra."

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