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
Sherwood News

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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Report: Some of Meta’s new AI models will eventually be open-source

Axios reports that Meta is close to releasing its first new AI models after setting up its “superintelligence” team led by former Scale.AI CEO Alexandr Wang, and some of the models will eventually be released with an open-source license.

Per the report, Meta sees an opportunity to focus on consumers, rather than the lucrative enterprise market that both OpenAI and Anthropic have been focusing on.

Meta had previously embraced open-source AI with its Llama models, with CEO Mark Zuckerberg writing a manifesto declaring open-source AI as “the path forward.” Axios says that Meta will be pursuing more of a hybrid strategy of proprietary and open-source models going forward.

The New York Times previously reported that Meta was delaying the launch of its new AI model because of performance issues.

Meta had previously embraced open-source AI with its Llama models, with CEO Mark Zuckerberg writing a manifesto declaring open-source AI as “the path forward.” Axios says that Meta will be pursuing more of a hybrid strategy of proprietary and open-source models going forward.

The New York Times previously reported that Meta was delaying the launch of its new AI model because of performance issues.

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OpenAI’s plan for an AGI world: AI for all and a 4-day workweek

The company’s policy paper calls for a new social contract that includes AI at the center of everything, which could lower costs and create cures for diseases, but also warned it may upend the public safety net.

🏠 $2.15M

The median price for a house in San Francisco is now $2.15 million, jumping 18% from last year. The AI startup boom is pushing what was already one of the most expensive housing markets to dizzying new heights. The median price for condos in the city jumped 27% to reach $1.36 million, according to data from Compass, reported by Bloomberg.

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Report: OpenAI on track to burn $85 billion in 2028, expects profitability by 2030

Anthropic and OpenAI are racing to go public this year, and all eyes are on how long they can sustain burning billions in cash before they achieve something that looks like a viable business.

Investors have seen both companies’ projections, and there’s no sign of slowing down, according to a report from The Wall Street Journal.

OpenAI expects to burn tens of billions per year for the rest of the decade, peaking at $85 billion in 2028, before achieving profitability in 2030, per the report.

Anthropic will also continue to burn cash for years — far less than OpenAI — but it projects that 2026 will be its biggest year of losses. It targets 2029 for profitability, fueled by exploding enterprise revenue.

OpenAI expects to burn tens of billions per year for the rest of the decade, peaking at $85 billion in 2028, before achieving profitability in 2030, per the report.

Anthropic will also continue to burn cash for years — far less than OpenAI — but it projects that 2026 will be its biggest year of losses. It targets 2029 for profitability, fueled by exploding enterprise revenue.

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