Over time
How the map readings, incidents and news change, for the world or for one country. Each series has its own pace: readings every week, incidents by month, news by day. How it works.
How much attention AI use deserves in each country
1 · What changed
World · Attention
- Week
- 0.0 (36.1 → 36.1 · 2 Nov 2026 → 11 Nov 2026)
- Month
- −0.2 (36.3 → 36.1 · 18 Oct 2026 → 11 Nov 2026)
- Year
- −1.2 (43.6 → 42.4 · 2024 → 2025, reconstructed years)
- AI news worldwide
- 34,935 articles in the last 7 days, 33,717 in the 7 days before
- Incidents in the last complete month
- May 2026: 40 · May 2025: 34
2 · Trend
Attention over time
Attention over time: 2023 (reconstructed): 41.2 · 2024 (reconstructed): 43.6 · 2025 (reconstructed): 42.4 · 18 Oct 2026: 36.3 · 19 Oct 2026: 36.3 · 26 Oct 2026: 36.3 · 2 Nov 2026: 36.1 · 11 Nov 2026: 36.1.
Incidents by month
all incidents, including those without a countryIncidents by year: 2016: 41 · 2017: 51 · 2018: 46 · 2019: 45 · 2020: 91 · 2021: 80 · 2022: 109 · 2023: 179 · 2024: 312 · 2025: 463 · 2026: 296 (incomplete).
Sources record many incidents weeks or months later: these months are still incomplete.
plus 1,873 incidents with only the year
AI news by day
Articles in the last 33 collected days, 167,709 in total: 31 Oct: 2,466 articles · 1 Nov: 2,007 articles · 2 Nov: 5,355 articles · 3 Nov: 5,455 articles · 4 Nov: 5,650 articles · 5 Nov: 5,923 articles · 6 Nov: 6,861 articles · 7 Nov: 2,476 articles · 8 Nov: 2,055 articles · 9 Nov: 5,209 articles · 10 Nov: 7,009 articles · 11 Nov: 6,134 articles · 12 Nov: 6,272 articles · 13 Nov: 5,780 articles.
Volume of articles, not of stories: a story picked up by many outlets counts many times.
3 · Two dates compared
| Reading | 2023 | 11 Nov 2026 | Difference |
|---|---|---|---|
| Attention | 41.2 | 36.1 | −5.1 |
| Adoption | not computed back then | 19.8 | |
| Regulation | not computed back then | 45.7 | |
| Problems and attacks | not computed back then | 50.3 | |
| Opportunities | not computed back then | 43.3 |
Reconstructed years only have Attention, computed backwards with today's data.