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Chronicles

The story behind the story

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Stack Overflow's monthly question volume in Dec. 2025 sank to 2008 levels; revenue has doubled since ChatGPT's debut driven by enterprise tools and AI licensing

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

Sherwood News Claire Yubin Oh

Context & Ripple Effects

Stack Overflow’s pivot has been visible since it said it would charge major AI developers for access to its Q&A corpus, followed by a data-supply agreement with OpenAI. The latest figures show that licensing and enterprise products have become more important as participation in the public Q&A product contracts.

That matters because the platform is no longer being measured only by the volume of questions it hosts: its accumulated technical knowledge is also a commercial input for AI systems.

First-order effects

  • Stack Overflow is generating more revenue from enterprise tools and AI licensing even as its monthly question volume falls to levels last seen in 2008.
  • Developers and AI companies seeking access to Stack Overflow’s corpus face a model in which high-value knowledge is increasingly accessed through commercial partnerships rather than only the public site.

Second-order effects

  • The revenue mix gives Stack Overflow more incentive to prioritize enterprise and licensing products, while a smaller stream of new public questions may constrain the flow of fresh community-generated material over time.
  • Other developer-knowledge platforms face a clearer choice between competing for user contributions and monetizing archives as AI training or retrieval inputs; Stack Overflow’s earlier OpenAI data partnership illustrates the latter path.

Third-order effects

  • If this pattern persists, developer communities may evolve from advertising- or participation-led sites into hybrid knowledge-infrastructure businesses, with archived expertise monetized separately from the user experience that created it.
  • The durability of that model depends on whether platforms can sustain contributor trust and replenish their knowledge bases while AI answer tools reduce direct visits and questions.

The trend: AI is turning established online knowledge archives into licensed infrastructure even as the conversational activity that built those archives declines.

Discussion

  • @trungtphan Trung Phan on x
    Stack Overflow CEO Prashanth Chandrasekar was recently on the Decoder podcast and shared an interesting stat: 80%+ of the platform uses AI but only 29% trusts the output. [image]
  • @bearlyai @bearlyai on x
    Stack Overflow has seen the number of monthly questions on its platform collapse from 300k to ~0 since launch of ChatGPT. But annual revenue is acrually up 2x over that span to $115m. How? It has licensed its back-catalog of human answers to AI labs and created an enterprise [ima…
  • @jeffgreene Jeff Greene on bluesky
    It's unsurprising that coders would be early adopters of LLMs versus past solutions - but egad!  The drop-off in use of Stack Overflow is jarring and may be the canary in the coal mine for other websites.  Yikes.
  • @sherwood.news @sherwood.news on bluesky
    The platform is raking in millions of dollars in revenue, with AI an ironic new source of revenue.  —  https://sherwood.news/tech/stack- overflow-forum-dead-thanks-ai-but- companys-still-kicking-ai/