Research ReportsAnalysis
Interpretation of verified reporting. Facts and interpretation are kept apart.
Half of the stories on our wire were about AI products and research, a quarter came straight from AI labs, and OpenAI appeared in more headlines than any other company.
Over 21 days, from October 13 to November 2, 2026, the AI & Technologies News wire collected 320 headlines from 15 sources: news sites, AI lab blogs, arXiv and Hacker News.[1] We sorted every story into our eight sections and counted who published it and which companies it named.
Three findings stand out. AI products and research made up 51% of all stories. AI labs published nearly a quarter of the headlines themselves. And OpenAI, with ChatGPT, appeared in 38 stories, ahead of Google with 25 and Anthropic with 21, although 24 of those 38 came from OpenAI's own news feed.
The wire reads 16 RSS and Atom feeds every 30 minutes. General news feeds pass through a keyword filter that keeps only AI-related stories, and any item that is a video is dropped. A classifier then assigns each story to one of 62 topics, using keywords in the headline and summary.[2]
One feed, VentureBeat, returned a rate-limit error (HTTP 429) on every crawl in this period, so the analysis covers the other 15 sources.
More than half of the stories, 164 of 320, landed in AI News. Tech News followed with 63, then Business with 35 and Science with 31.
AI News holds 51% of the wire
| Category | Stories |
|---|---|
| AI News | 164 |
| Tech News | 63 |
| Business | 35 |
| Science | 31 |
| Industry | 12 |
| Insights | 8 |
| Reviews | 4 |
| Guides | 3 |
The three smallest sections, Insights, Reviews and Guides, are formats rather than topics. News feeds rarely carry hands-on reviews or tutorials, so these sections depend on our own reporting more than on the wire.
Within AI News, large language models were the busiest topic with 47 stories, ahead of generative AI with 41. AI agents and AI research had 28 each. Outside AI News, the largest topics were research papers explained (24), AI business (21), Big Tech (18) and chips (17).
News outlets supplied just under half of the stories. AI labs publishing on their own blogs supplied almost a quarter: OpenAI alone posted 29 items, Hugging Face 22 and NVIDIA 16.
| Source type | Stories | Share | Largest sources |
|---|---|---|---|
| News outlets | 158 | 49.4% | TechCrunch 39, The Guardian 29, Ars Technica 26 |
| AI lab blogs | 78 | 24.4% | OpenAI 29, Hugging Face 22, NVIDIA 16 |
| Research papers | 48 | 15.0% | arXiv cs.AI 24, arXiv cs.CL 24 |
| Community | 36 | 11.3% | Hacker News 36 |
| Total | 320 | 100% | 15 sources |
Lab blogs are primary sources: they announce products, models and research directly. They are also written by the companies they describe. That is why our editorial policy asks reporters to confirm lab claims before a story leads the site.[3]
We counted a story for a company when its headline or feed summary named the company or one of its main AI products. A story that names two companies counts for both.
| Company | Names counted | Stories | Share of 320 |
|---|---|---|---|
| OpenAI | OpenAI, ChatGPT | 38 | 11.9% |
| Google, Gemini, DeepMind | 25 | 7.8% | |
| Anthropic | Anthropic, Claude | 21 | 6.6% |
| Nvidia | Nvidia | 19 | 5.9% |
| Apple | Apple | 7 | 2.2% |
| Meta | Meta | 7 | 2.2% |
| Microsoft | Microsoft | 6 | 1.9% |
OpenAI's lead is largely a source effect. Its news feed is one of the most active on the wire, and 24 of the 38 stories that named OpenAI or ChatGPT came from that feed. Anthropic, which has no feed on the wire, reached 21 stories entirely through outside coverage, eight of them via Hacker News. Google sat in between: 6 of its 25 stories came from the Google DeepMind blog.
Our duplicate check compares headlines from different sources published within 36 hours of each other. In this period it found no story that two sources ran with closely matching headlines.
That does not mean outlets ignored each other's news. The check is strict, publishers write very different headlines for the same event, and a quarter of the wire is labs announcing their own work. It does mean that a "most covered" ranking built only on headline overlap carries little signal yet. Our Trending and Most Read lists say this on the page.
For 127 stories (excluding research papers) we could count the words on the article page. Their median reading time was 4 minutes and the average 4.6 minutes, at 230 words per minute. Other pages blocked automated reading or loaded their text with scripts, so we left them out rather than guess.
Questions about the method, or a correction to report? Email the Data Desk at data@aitechnews.example.
Update, : Added the note on VentureBeat's rate limiting to the limits section.
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