An analysis of the global web space demonstrates an impressive expansion of generative models. According to my data, based on a large-scale study of a random sample of 10,000 English-language pages collected in July 2026, about 10% of all indexed content bears clear traces of machine generation. However, the key conclusion lies deeper: among materials published after the launch of ChatGPT in November 2022, the share of synthetic texts exceeds 33%.
Methodology and the Real Scale of the Phenomenon
For identification, a machine learning model was used that analyzes linguistic patterns characteristic of modern LLMs. It is important to understand that including "antediluvian" content in the sample artificially lowers the overall percentage. If we filter out everything created before the era of generative AI, the picture becomes radical: every third new text on the internet is a product of algorithms. This is not just statistics, but a marker of a paradigm shift in information production.
The Commercial Sector — The Main Testing Ground for AI
The distribution of synthetic content across domain zones confirms the economic motivation. In the .com zone, signs of AI are found on every tenth page (10%), which is twice the figures for .org (4.6%). Even more indicative are the numbers for academic and government resources (.edu and .gov) — there the share does not exceed 1%. This disproportion is explainable: commercial platforms actively automate the production of SEO texts, product descriptions, and news feeds, where speed and volume matter more than a unique authorial perspective.
Important Caveats and Hidden Risks
It should be emphasized that this is an assessment of probable authorship, not a verified fact. The methodology does not check edit history and does not survey authors, so errors are possible in both directions. Furthermore, the category of "significantly edited" AI content is blurred: minor grammar correction by a neural network may not fall into the sample, while fully generated articles do.
My analysis: The market has already faced a crisis of trust in textual content. The growth of AI's share in the commercial segment inevitably leads to the devaluation of information noise and the strengthening of filters. We stand on the threshold where algorithms will begin to actively fight against the content of other algorithms, and in this war, the main loser may be the living reader, losing the ability to distinguish facts from plausible generation.