• Meta's AI agent, Muse, is unprofitable due to "very high compute costs," CEO Mark Zuckerberg says.
• Meanwhile, Meta expects Reality Labs, its AI glasses division, to lose $15 billion next year.
• The social media giant has a plan to fix that.

Meta says some of its biggest cash incinerators could finally start turning profits.

The social media giant, which generated over 97% of its quarterly revenue from ads, has faced persistent questions from investors about the lack of profitability in its AI and hardware initiatives.

Meta CEO Mark Zuckerberg addressed those concerns head-on during its third-quarter earnings call on Wednesday.

Zuckerberg said that Muse, the AI assistant it launched last month, is unprofitable since it's "very compute intensive to run." Meta expects to start turning that around next year by massively improving Muse's efficiency.

"If compute efficiency continues improving quickly for another few years, which we think is highly likely, then Muse will be highly profitable over multiple years," he said.

Meta plans to make money from Muse by taking a small transaction fee off of purchases it drives, Zuckerberg said at Meta's Connect conference last month.

Zuckerberg added that Muse, which launched only in the US and Canada, wasn't launched globally due in part to the amount of compute it requires. (Meta's North American users are generally its most lucrative.)

Zuckerberg also struck a positive note about its cash-hemorrhaging Reality Labs division, which makes products like Meta Ray-Bans and virtual reality glasses.

Meta expects Reality Labs to narrow its losses to about $15 billion in 2027, down from the $18 to $19 billion it expects to lose this year. The division should start trending toward profitability next year, as Meta's AI systems make it more useful, Zuckerberg said.

"I continue to believe that the path to delivering holographic experience, of bringing together the physical and digital worlds and everyday glasses, will come through VR first," Zuckerberg said.

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• Nvidia vice president Laura Fay has retired after a decade at the company.
• Fay grew Nvidia's enterprise marketing team from roughly 60 to 600 employees.
• Nvidia brought in Google Cloud's Alison Wagonfeld as its first chief marketing officer this year.

Laura Fay, a longtime Nvidia marketing executive who reported to CEO Jensen Huang, retired in July after roughly a decade at the AI chip giant.

Fay formerly served as Nvidia's vice president of global enterprise marketing, overseeing campaigns, events, analyst relations, and partner marketing. She said her team grew from roughly 60 to 600 people by the time she left.

Fay was among 36 employees on an internal list obtained by Business Insider last year of company leaders reporting directly to Huang. Prior to joining Nvidia, she spent 22 years at Cisco, concluding her tenure there as VP of global marketing.

Fay said Huang recruited her to build Nvidia's enterprise marketing organization as the company looked to expand beyond gaming.

"I want to change the world, and I want you to change it with me," she recalled him telling her on their first call.

Fay said she began considering retirement around her 10th anniversary in January, though a call from Huang congratulating her and expressing hope that she'd stick around for another decade persuaded her to stay a little longer.

Nvidia declined to comment.

Fay's retirement came as Nvidia also brought in new marketing leadership. In February, the company hired Google Cloud executive Alison Wagonfeld as its first chief marketing officer.

The Wall Street Journal reported at the time that Wagonfeld would oversee all marketing and communications teams and assume responsibilities previously divided among several leaders.

Those changes follow another longtime marketing departure. Greg Estes, Nvidia's former vice president of corporate marketing and developer programs, retired in 2025 after roughly 15 years at the company.

Several other longtime Nvidians have retired this year, including sales chief Jay Puri, chief accounting officer Donald Robertson, and VP of hardware engineering Robert Huang. Some retirees told Business Insider that Nvidia's exponential stock run helped precipitate their decisions.

Nvidia's communications organization has also undergone a shake-up as scrutiny around the company has intensified, with roughly 15 employees departing since 2025 amid a reorganization under new leadership.

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• 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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