AI-Generated Articles Plateau at 50% of Web Content
SkimNews Take
The plateau in AI-generated content suggests that the technology has found its niche for current use cases, rather than proving universally applicable for all online text.
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- Graphite.io analyzed 55,400 English-language URLs from Common Crawl and found that primarily AI-generated articles have plateaued at around 50% of new online content since early 2025, rather than continuing to climb.
- AI-written articles rose from 1% in early 2020 to 50.9% by late 2025, with growth stalling after reaching 35.9% within one year and 48% within two years of ChatGPT's November 2022 launch.
- Dan Klein, a UC Berkeley professor and AI model CTO, warned that if models begin training on their own machine-generated output, the internet risks becoming a 'feedback loop of low-quality' content because AI systems depend on human-created knowledge.
- Graphite classified pages using three AI-detection tools — Pangram, GPTZero, and Copyleaks — counting an article as primarily AI-generated only when most of its text was flagged, based on URLs published between January 2020 and March 2026.
- Graphite itself acknowledged that AI content quality is 'rapidly improving' and often indistinguishable from human writing, noting many articles blend human and AI contributions in outlining, drafting, rewriting, and editing.
- The plateau suggests either a natural ceiling on AI publishing, the limits of current detection tools, or that content farms have already saturated their niches with machine-generated listicles and blog posts.
Why it matters: A 50% plateau doesn't mean AI writing is retreating — Graphite stressed quality is climbing fast. For publishers, SEO content farms, and AI labs, this means machine-generated articles are now a permanent half of the web, not a passing surge. Klein's warning raises a separate stakes question: if future models train on that AI-written half, the raw material fueling improvements could itself degrade.
