AI writing hits a ceiling

Data: Graphite.io ; Note: Based on an average of three AI-detector tools sampling URLs from Common Crawl; Chart: Megan Morrone/Axios The flood of AI-generated writing unleashed by ChatGPT appears to have leveled off — a sign that AI content hasn't overtaken the web after all. The big picture: The share of online news articles, blog posts and listicles that are primarily AI-generated has held near 50% for more than a year, according to a new analysis from digital marketing agency Graphite. The plateau indicates that the feared takeover of human online writing by AI hasn't materialized — at least not yet. Why it matters: Researchers who've studied the spread of AI-written articles warn that once models start training on that content, the internet could become a massive feedback loop of low-quality, machine-generated content. " These models are smart because of all the information we put on the web that was created without these models," Dan Klein, a UC Berkeley professor and AI model CTO tells Axios. "If we stop creating knowledge that is independent of these models, what's going to fuel that?" By the numbers: AI-generated articles surged after ChatGPT launched in November 2022, but the growth has stalled, according to Graphite. Within a year of ChatGPT's release, primarily AI-generated articles made up 35.9% of new online articles. Within two years, they reached 48%. But since early 2025, the share has hovered at around half of new articles. The methodology: Graphite randomly sampled 55,400 English-language URLs from Common Crawl, a large public archive of the web often used in AI research and training datasets. The pages were at least 100 words long, had publish dates between January 2020 and March 2026 and were classified as articles or listicles. Graphite then ran each article through AI-checking tools Pangram, GPTZero and Copyleaks . Reality check: Counting AI-generated writing is still messy. Many articles are no lon...

Original source: Axios