Back to stories
Generated by an AI editor from the reporting and web sources listed on this page.

Over a Third of New Webpages Are Now AI-Written—and Increasingly AI-Read

A new report finds that more than 35 percent of newly created webpages are generated by AI, signaling a shift in who the web is actually for.

Published The total reporting and web sources attached to this story.The AI editor’s assessment of how strongly the attached sources’ quality and agreement support this article.

What matters

  • A report found that over 35 percent of new webpages are AI-written.
  • Web content is increasingly consumed by AI agents, not just human readers.
  • The finding raises concerns about content trust, SEO integrity, and publisher economics.
  • The original report's methodology and scope have not been fully detailed in available coverage.

What happened

A recent report highlighted by Gizmodo found that more than 35 percent of new webpages are now written by AI. The same report noted that web content is increasingly being consumed by AI agents—not just human readers—creating a loop where machines are producing content for other machines to ingest.

The figure underscores how quickly generative AI tools have been integrated into content workflows across publishing, e-commerce, marketing, and SEO. While the report's methodology and scope have not been fully detailed in the available coverage, the 35 percent threshold is a notable marker: it suggests AI-generated content is no longer a fringe phenomenon but a substantial share of what is being added to the web.

Why it matters

If more than a third of new pages are AI-written, the implications ripple across several areas:

  • Content quality and trust: Readers may struggle to distinguish AI-generated material from human-authored work, especially when it is published without disclosure. This could further erode trust in online information sources.
  • SEO and discovery: Search engines and recommendation systems now face a flood of AI-produced pages, many of which may be designed to game rankings rather than serve readers. This pressures platforms to improve detection and ranking signals.
  • The machine-to-machine web: The report's observation that content is increasingly AI-consumed suggests a growing portion of web traffic is bots reading bot-written content. This could distort analytics, ad economics, and the perceived value of organic reach.
  • Publisher economics: If AI agents summarize or repurpose content without driving human visits, publishers may see reduced return on investment for original reporting and analysis.

The available source does not specify which report produced the 35 percent figure, how "new webpages" were defined, or over what time period the measurement was taken. These details would help contextualize the finding, and further reporting is needed to assess its precision.

What to watch

  • Clarification of the report's methodology: Expect follow-up coverage or the original report's publication to detail how the 35 percent figure was calculated, including sample size, detection methods, and definitions of "AI-written."
  • Search engine policy responses: Major search providers may update guidelines or ranking algorithms to address the surge in AI-generated pages.
  • AI agent traffic trends: Monitoring firms may begin reporting on the share of web traffic attributable to AI crawlers and agents, separate from traditional bot traffic.
  • Regulatory and disclosure discussions: Policymakers and industry groups could push for clearer labeling of AI-generated content, particularly in news and commerce contexts.

What to do next

Developers

Audit your content pipelines and APIs for AI-generated output, and add metadata or provenance tags where feasible.

As AI-generated content becomes a large share of the web, provenance signals will be increasingly important for search ranking and trust.

Founders

Evaluate whether your product's value proposition depends on human-authored content or can leverage AI generation, and plan for a world where AI agents are a primary audience.

The machine-to-machine content trend could reshape distribution channels and content economics.

PMs

Review analytics dashboards to separate human traffic from AI agent traffic, and reassess KPIs that assume human readership.

If a growing share of consumption is by AI agents, traditional engagement metrics may no longer reflect actual human reach.

Investors

Assess portfolio companies' exposure to SEO-driven traffic models and ask how they plan to compete in an AI-saturated content landscape.

The surge in AI-generated pages could compress margins for content businesses reliant on organic search discovery.

Operators

Establish internal guidelines for when and how AI-generated content is published, including disclosure standards and quality review processes.

With over a third of new pages reportedly AI-written, clear policies help maintain brand credibility and reduce reputational risk.

Testing notes

Caveats

  • This story reports on a research finding rather than a testable product or tool. The underlying report's methodology has not been fully detailed in available coverage, so the 35 percent figure cannot be independently verified from the provided sources.