Attention is narrowing, and it has changed subject.
The five most-covered subjects now take 38.2% of all named-subject events, against 26.7% in the preceding ninety days. Google alone moved from 4.6% to 8.8%. Over the same span, Policy gave up 7.2pp of the cycle while Funding took +5.2pp.
- Events counted
- 4,848
- Named subjects
- 1,683
- Categories
- 17
- Months
- 17
Subjects
Share of named-subject events, trailing 90 days against the 90 before.
| Subject | Then | Now | Movement | ±pp |
|---|---|---|---|---|
| 4.6 | 8.8 | +4.1 | ||
| OpenAI | 8.7 | 11.7 | +3.0 | |
| Microsoft | 1.6 | 4.1 | +2.5 | |
| Anthropic | 8.6 | 10.5 | +1.9 | |
| DeepSeek | 0.2 | 1.4 | +1.2 | |
| Nvidia | 1.9 | 2.9 | +1.0 | |
| Losing ground | ||||
| United States | 2.6 | 1.2 | −1.4 | |
| Amazon | 1.7 | 1.0 | −0.7 | |
| Intel | 1.1 | 0.4 | −0.7 | |
| Oracle | 0.7 | 0.0 | −0.7 | |
| Atlassian | 0.5 | 0.0 | −0.5 | |
Categories
Share of all events. Rotation shows here before it shows in headlines.
| Category | Then | Now | Movement | ±pp |
|---|---|---|---|---|
| Policy | 16.7 | 9.5 | −7.2 | |
| Funding | 3.9 | 9.1 | +5.2 | |
| Security | 6.9 | 10.3 | +3.4 | |
| Product | 21.4 | 18.9 | −2.5 | |
| Research | 10.8 | 13.0 | +2.3 | |
| OpenSource | 1.4 | 3.5 | +2.1 | |
| Leadership | 4.3 | 2.7 | −1.6 | |
| Legislation | 3.6 | 2.1 | −1.4 |
Gone quiet · Oracle, UK Government, European Union — each carried eight or more events in the archive and none in the last ninety days.
Listed vs not · 48.7% of coverage we can classify by listing status goes to companies that are not publicly traded — effectively unchanged from 49.6% the quarter before. OpenAI and Anthropic alone account for 22.2% of every named-subject event in the archive. Listing status is a maintained list, not archive data; it covers 51.7% of named-subject events.
Method
Every figure is a full count of the archive, not a sample. Coverage runs 25 Mar 2025 to 31 Jul 2026.
Shares are reported rather than totals because publishing volume is not constant — 514 events in the current window against 1,013 before it. Comparing raw counts across those windows would show a decline everywhere and mean nothing.
Subject labels are normalised onto head entities, so Google DeepMind and Google Cloud count as Google. Generic labels such as “AI” or “Big Tech” are excluded.
The archive, in its own words.
Global technology markets face extreme volatility as soaring infrastructure capital expenditures collide with negative free cash flows. Meanwhile, developers aggressively adopt low-cost Chinese AI models, prompting urgent debates over open-weight safety, regulatory intervention, and automated software security vulnerabilities.
Written 31 Jul 2026 from the last seven days of stories