Tech
In this photo illustration, the Stack Overflow logo is seen...
The Stack Overflow logo seen displayed on a smartphone screen (Thomas Fuller/Getty Images)
isn’t it aironic?

Stack Overflow’s forum is dead thanks to AI, but the company’s still kicking... thanks to AI

The platform is raking in millions of dollars in revenue, with AI an ironic new source of revenue.

Claire Yubin Oh

When Elon Musk described Stack Overflow’s plight as “death by LLM” in July 2023, he wasn’t exaggerating.

Having been the go-to resource for developers looking for technical help for a long time, Stack Overflow neared the peak of its powers during the pandemic, with coders seeking the evergreen information on the company’s popular Q&A forum. But amid a wave of powerful code-writing AI assistants like ChatGPT, Cursor, Claude, Google’s Gemini, and Microsoft’s Copilot, traffic to the site has plummeted.

Last month, Stack Overflow recorded just 6,866 questions — roughly equal to the typical volume when the site first launched back in 2008.

Stack overflow’s traffic
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But while Stack Overflow the Q&A forum looks dead, Stack Overflow the company looks to be limping along.

Unlike Chegg and other knowledge hubs that have fallen victim to generative AI, Stack Overflow has found a way to monetize its enormous back catalog of content. Indeed, even with engagement falling off a cliff since ChatGPT’s 2022 debut, the company’s annual revenue has roughly doubled to $115 million. Losses have slimmed, too, from $84 million in FY2023 to $22 million as of the last fiscal year, as desperate cost-cutting efforts, including mass layoffs, helped boost the bottom line.

Once dependent on ads across its buzzy forum, Stack Overflow now primarily makes money from enterprise solutions like “Stack Internal,” which provides a generative-AI add-on powered by the millions of questions and answers on the site through the years. Stack Internal is now used by 25,000 companies around the world. It also licenses its data to AI companies, in a Reddit-like model — a platform that made more than $200 million from licensing user-generated content in 2024. 

Put simply, Stack Overflows new niche is the trust built by its old community and their expertise. In the words of CEO Prashanth Chandrasekar last December:

...when we saw the questions decline in early 2023, what we realized is that pretty much all those declines were with very simple questions. The complex questions still get asked on Stack because there’s no other place. If the LLMs are only as good as the data, which is typically human curated, we’re one of the best places for that, if not the best for technology.

Large language models want data about coding problems and how to solve them. Stack Overflow has a big digital warehouse full of that, but it’s increasingly aging, as queries move into private chat windows with LLM models... which need huge chunks of data to work. Stack Overflow has become a fascinating canary in tech’s new, circular coal mine.

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$26B

Nvidia is planning on spending $26 billion to train its own AI open-weight models, according to a 2025 financial filing. Wired was first to report the information. Nvidia has released several of its own AI models, including the Nemotron reasoning model, as well as specialized ones for specific tasks.

Nvidia making its own large frontier models could allow the company to go head-to-head against some of its biggest AI customers.

tech

Musk blurs the boundaries of his companies even more with joint xAI-Tesla AI agent project

Tesla and SpaceX CEO Elon Musk said Wednesday that Tesla and xAI, which is part of SpaceX, would work on a joint AI agent project called “Macrohard,” also referred to as “Digital Optimus,” as part of Tesla’s $2 billion investment in xAI. The collaboration would pair Grok with what Musk described as a real-time computer-controlling AI agent running on Tesla hardware.

In his post, Musk said Grok would serve as the higher-level “System 2” reasoning layer directing “Digital Optimus,” a faster “System 1” layer that processes the last five seconds of screen video and keyboard/mouse inputs to take action. He said the system would run inexpensively on Tesla’s low-cost AI4 chip alongside more expensive Nvidia chips at xAI, and suggested it could, “in principle,” emulate the function of entire companies. “No other company can yet do this,” he said.

Business Insider reported earlier Wednesday that Tesla was taking up the AI agent mantle as xAI’s similar project stalled, but Musk’s post suggests the initiatives are more intertwined than previously understood.

The collaboration marks the latest example of Musk’s companies working closely together, further blurring the lines between Tesla and the recently merged SpaceX-xAI entity.

tech

Meta doubles down on custom inference chips after reportedly scrapping training chip

Meta said today that it’s expanding its custom silicon development to include four new generations of Meta Training and Inference Accelerator (MTIA) chips. The announcement comes just weeks after The Information reported that the social media company had scrapped its most advanced AI training chip, dubbed Olympus, after facing design challenges. In the meantime, it signed outside chip deals with Nvidiaand Advanced Micro Devices.

Early in its recent conference call, Broadcom CEO Hock Tan sought to reassure investors that the custom chip specialist’s relationship with the social media giant was only getting stronger.

“Now contrary to recent analyst reports, Meta’s custom accelerator MTIA road map is alive and well,” he said. “We’re shipping now.”

The new road map suggests Meta’s in-house chips will focus more on inference, which has more predictable workloads, over training — a technically more demanding area dominated by Nvidia:

“MTIA 300 will be used for ranking and recommendations training, and is already in production. MTIA 400, 450 and 500 will be capable of handling all workloads, but we will primarily use these chips to support GenAI inference production in the near future and into 2027.”

Meta CFO Susan Li told attendees at Morgan Stanley’s tech conference earlier this month that the company “eventually” plans to expand its custom chip design to include training models.

Early in its recent conference call, Broadcom CEO Hock Tan sought to reassure investors that the custom chip specialist’s relationship with the social media giant was only getting stronger.

“Now contrary to recent analyst reports, Meta’s custom accelerator MTIA road map is alive and well,” he said. “We’re shipping now.”

The new road map suggests Meta’s in-house chips will focus more on inference, which has more predictable workloads, over training — a technically more demanding area dominated by Nvidia:

“MTIA 300 will be used for ranking and recommendations training, and is already in production. MTIA 400, 450 and 500 will be capable of handling all workloads, but we will primarily use these chips to support GenAI inference production in the near future and into 2027.”

Meta CFO Susan Li told attendees at Morgan Stanley’s tech conference earlier this month that the company “eventually” plans to expand its custom chip design to include training models.

tech

Google completes acquisition of Wiz — its biggest ever

Today Google said it has completed its $32 billion acquisition of cybersecurity startup Wiz, the largest deal in the company’s history.

“This acquisition is an investment by Google Cloud to improve cloud security and enable organizations to build fast and securely across any cloud or AI platform,” the company wrote in the press release.

The companies agreed to the all-cash purchase last year, after quite a bit of back-and-forth.

Alphabet updated acquisitions chart
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Alphabet updated acquisitions chart
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