AI Studies

Dead Internet Tracker Report: July 2026

Track how much long-form written content published online in July 2026 was Likely AI in this study that explores AI’s impact on the Dead Internet theory.

 Dead Internet Tracker Report: July 2026

Key Findings (TL;DR)

  • 46% of long-form written content published online in July likely AI-generated
  • The pace of new long-form written content that is likely AI-generated and published online has more than doubled since January of 2025
  • At the current trajectory, it is likely that we have already surpassed the point at which more than half of new online articles are likely AI-generated
  • Analysis and explainer articles, and those above 1,500 words, are most likely to leverage AI
  •  22% of top 20 Google search results in July were likely at least 5% AI-generated 

Dead Internet Theory: An Introduction

The once fringe “dead internet theory” has found new relevance in the AI era.

The concept, which was born on message boards over a decade ago, suggests that the internet will eventually consist primarily or entirely of inanimate algorithms speaking to each other, replacing human interaction with “bot” activity.

AI has supercharged the march towards the dead internet by dramatically accelerating the pace and scale by which automated tools can develop content. Today, it is not uncommon for an AI agent to autonomously initiate a query and complete that action using materials that were themselves AI-generated.

For example, an AI agent could initiate the drafting of a competitive analysis report without human prompting, which it develops by leveraging online reviews, press releases, and social media content, all of which could be generated by other automated tools. The competitive analysis itself may then be fed into an organization’s internal database and leveraged by other internal AI tools to develop more reports, all without human oversight.

This scenario is already beginning to materialize, and we are still in the early days of the AI revolution. As the technology advances, it’s not hard to imagine a world in which most online activity occurs without human prompting, oversight, or review. In fact, that world may have already arrived.

The Dead Internet Tracker

That is what inspired AI detection platform Originality.ai to develop a monthly breakdown of AI pervasiveness online. The new “Dead Internet Tracker” seeks to provide an ongoing benchmark demonstrating how the internet is evolving in the AI era, and just how close we are to a world in which the internet primarily exists for non-human use.

The Dead Internet Tracker will be paired with Originality.ai’s monthly Social Media AI Tracker Report (read July’s), which similarly showcases the pervasiveness of automated content on some of the world’s most popular social media platforms.

As a text-based AI detector, our findings are limited to written content and do not extend to other forms of media, programming languages, or other uses of AI in developing online content.

Understanding how much online content is Likely AI

To understand how much online content is written by AI, Originality.ai is leveraging Common Crawl, a free, online repository of all publicly available internet content. The use of Common Crawl is also relevant because its dataset is utilized by frontier model providers like OpenAI and Anthropic in developing their AI tools, demonstrating how AI content is often created by leveraging AI content.

Just because something is posted online, however, doesn’t mean that human users will see it. Though our online experience is changing quickly, research suggests that most internet users begin their online journeys with a search engine, and specifically Google. In fact, Google is used by more than 5 billion people, or about 84% of all internet users, with over 16.4 billion search queries each day.

Quick Overview: Common Crawl and Google Search Data

While Common Crawl helps us understand how much AI-generated content is posted online, Google Search data helps us understand how much of that content is ultimately found by humans. 

This report will provide a monthly update on both metrics to help internet users understand how much content is being produced by AI, and how much of that content they are being served through the world’s most popular search engine.

Common Crawl: Findings

Current Level of Likely AI Articles, July 2026

Current Level of Likely AI Articles, Dead Internet Tracker Report, July 2026

Originality.ai examined 2,000 randomly selected long-form English-language articles published to the editorial web and captured by Common Crawl in the month of July and found that 926, or 46.3%, were more likely than not at least 15% AI-generated.

A broader analysis of 14,000 articles published over the last two years also found an increase in the proportion of AI-generated content each month of 2026 through July as compared to the same month in 2025.

Monthly Analysis of Likely AI Articles 2025 vs. 2026

Monthly Likely AI Percentage 2025 vs. 2026

Monthly Likely AI Percentage 2020-2026

An even deeper dive into 148,000 articles published online starting in July 2020 demonstrates the skyrocketing trajectory of Likely AI content since the public launch of ChatGPT in November of 2022. In fact, the proportion of content that is likely at least 15% AI-generated has more than doubled since the start of 2025.

monthly likely AI percentage 2020-2026

Likely AI Percentage by Article Length

  • Long-form written content was much more likely to be written by AI than shorter articles, with the majority of those over 1,500 words likely AI-generated (51.5%), up from 35.2% in 2025.
  • Nearly 47% of articles in the 1,000 to 1,499 range were also flagged as likely AI, up from 32.5% in 2025. 
  • By comparison, just 41% of articles of 750 to 999 words and 42% of those between 500 and 749 words were determined to be Likely AI this year, up from about 30% last year.

At the current trajectory, it is likely that we have already surpassed the point at which more than half of online articles are AI-generated.

Likely AI Percentage by Article Length

Percentage of Likely AI Articles by Category

The articles most likely to leverage AI authorship thus far in 2026 were in the analysis and explainer category, or what some might call “thought leadership content.” Within that category, nearly 54% of English-language articles over 500 words were determined to be more likely than not at least 15% AI-generated, up from 39% in 2025.

The second heaviest use of AI content appears to be in the business and finance category, with about 53% flagged as Likely AI, up from 39% last year, followed by opinion and essays at 50%. That category also saw the largest year-over-year jump in likely AI content, from 31% in 2025 to 50% through July of 2026.

The remaining categories — technology, science and health, reviews and guides, general news and features, and culture, lifestyle and sports — remain below 50% likely AI-generated, but each saw a dramatic increase from 2025.

Likely AI Percentage by Content Category, Dead Internet Theory Tracker

Google Search Data: Findings

Current Level of Likely AI Articles, July 2026

Originality.ai examined 1,777 of the top 20 Google search results to a panel of 500 informational queries created by Semrush in July of 2026 and found that 384, or 21.6%, were more likely than not to be at least 5% AI-generated.

Current Level of Likely AI Articles in Google Search Data

Originality.ai has been tracking a significant rise in likely AI search results on Google since the launch of ChatGPT in late 2022, which saw the most significant increases between late 2024 and early 2025, as Google rolled out its Gemini AI search features.   

Prior to August of 2025, Originality.ai qualified search results as Likely AI when the tracker determined content was likely to be at least 15% AI-generated. That month, its Google AI detector was retired and replaced in May of 2026 with an updated version with a 5% Likely AI allowance threshold.                

Despite changing the level on what qualifies as Likely AI, our tracker only picked up a 2.66% difference in AI-generated results between 2025 and the first seven months of 2026.

Likely AI Percentage of Google Search Data 2025 vs. 2026, Originality.ai Study

Read the August 2026 Report

Methodology

Common Crawl

For the purposes of this report, Common Crawl content is deemed Likely AI if the tracker is more confident than not (50% confidence or higher) that at least 15% was written by AI. 

This methodology helps reduce the occurrences of false-positive readings while providing some leeway for AI-assisted writing and editing. The study also only includes English-language articles of at least 500 words.

Articles were collected from Common Crawl’s CC-NEWS archive and only includes English-language editorial pages of at least 500 words, not homepages, navigation, product listings, or other forms of written content. The analysis was also limited to four pages per domain per month to ensure no single publisher skews the results.

Google Search Data

Google search data, meanwhile, is put to a higher standard of no more than 5% Likely AI generated content and limited to the top 20 results based on digital marketing platform Semrush’s fixed panel of 500 common informational queries (mostly “how-to”s). It also only includes pages with at least 100-words of English written content.

Overall, the data suggests that AI-generated content has been skyrocketing since the public launch of ChatGPT in November of 2022, but especially in the last 12 months. While Google has been effective in filtering out AI-generated content, it too has been serving more of it to users over time. 

Jared Lindzon

Jared Lindzon is a journalist, author, public speaker and Originality.ai Research Editor based in Toronto. His reporting has been featured in many of the world's top news publications, including the New York Times, Rolling Stone, the BBC and Fortune Magazine, and he continues to contribute regularly to Fast Company, TIME Magazine, the Toronto Star and the Globe & Mail, among many others. As a public speaker and thought leader Lindzon regularly shares the insights he's gleaned from his reporting on the Future of Work, entrepreneurship and technology with audiences around the world. Lindzon's first book, Do More in Four: Why It's Time for a Shorter Workweek was published by Harvard Business Review Press in early 2026.

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