AI text now comprises 35% of new web content, but fears outpace evidence
A 2025 study finds AI-generated text widespread online yet shows mixed support for claims about diversity loss, accuracy decline, or stylistic homogenization.
By mid-2025, 35% of newly published websites contain AI-generated or AI-assisted text; public fears about quality decline exceed statistical evidence.
- — AI-generated or AI-assisted text rose from 0% to 35% of new websites between late 2022 and mid-2025.
- — Increased AI text correlates with lower semantic diversity and higher positive sentiment in measured samples.
- — No statistically significant link found between AI text prevalence and factual accuracy or stylistic diversity loss.
- — US adults surveyed believe all four negative hypotheses despite mixed empirical support from the data.
- — AI users and favorable-view holders report fewer concerns than non-users or skeptics about internet quality.
- — Internet Archive and state-of-the-art detection methods enabled first large-scale measurement of AI text prevalence.
- — Public perception diverges sharply from measured outcomes, suggesting perception-reality gap on AI impact.
Astrobobo tool mapping
- Knowledge Capture Log the study's key finding (35% prevalence, perception-reality gap) and your domain audit results in a structured note. Tag by domain and confidence level to track patterns over time.
- Reading Queue Queue follow-up papers on AI detector accuracy, domain-specific AI text prevalence, and longitudinal internet quality metrics. Prioritize studies that measure factual accuracy by content type.
- Focus Brief Create a weekly brief summarizing AI text prevalence in your industry or beat. Include detector outputs, user feedback, and perception surveys to track divergence.
Frequently asked
- According to Dolezal et al. (2025), approximately 35% of newly published websites between 2022 and mid-2025 were classified as AI-generated or AI-assisted. This represents a sharp rise from zero before ChatGPT's launch in late 2022. The measurement used Internet Archive data and state-of-the-art detection methods on a representative sample.
cite ▸
APA
Jonas Dolezal, Sawood Alam, Mark Graham, Maty Bohacek. (2026, May 1). AI text now comprises 35% of new web content, but fears outpace evidence. Astrobobo Content Engine (rewrite of arxiv/cs.AI). https://astrobobo-content-engine.vercel.app/article/ai-text-now-comprises-35-of-new-web-content-but-fears-outpace-evidence-448050
MLA
Jonas Dolezal, Sawood Alam, Mark Graham, Maty Bohacek. "AI text now comprises 35% of new web content, but fears outpace evidence." Astrobobo Content Engine, 1 May 2026, https://astrobobo-content-engine.vercel.app/article/ai-text-now-comprises-35-of-new-web-content-but-fears-outpace-evidence-448050. Based on "arxiv/cs.AI", https://arxiv.org/abs/2604.26965.
BibTeX
@misc{astrobobo_ai-text-now-comprises-35-of-new-web-content-but-fears-outpace-evidence-448050_2026,
author = {Jonas Dolezal, Sawood Alam, Mark Graham, Maty Bohacek},
title = {AI text now comprises 35% of new web content, but fears outpace evidence},
year = {2026},
url = {https://astrobobo-content-engine.vercel.app/article/ai-text-now-comprises-35-of-new-web-content-but-fears-outpace-evidence-448050},
note = {Astrobobo rewrite of arxiv/cs.AI, https://arxiv.org/abs/2604.26965},
}