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AI Controversy Statistics

Live numbers from the SCAND.Ai monitoring pipeline, computed directly from the production database. Every statistic is dated, anchor-linked, and free to cite with attribution. How the numbers are produced: methodology. Bulk data: the AI Controversy Database.

Last computed: · License: CC BY 4.0 (cite "SCAND.Ai" with a link)

46,750 AI-industry controversy signals tracked since launch. — as of

Cite this"46,750 AI-industry controversy signals tracked since launch." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-topics-tracked

5,307 AI controversies fully analyzed with summaries, named parties, and forecasts. — as of

Cite this"5,307 AI controversies fully analyzed with summaries, named parties, and forecasts." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-analyzed

369 active AI controversies are under live monitoring right now. — as of

Cite this"369 active AI controversies are under live monitoring right now." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-active

0 stories are currently in the scandal state — the highest escalation level of the SCAND.Ai state machine. — as of

Cite this"0 stories are currently in the scandal state — the highest escalation level of the SCAND.Ai state machine." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-scandals-now

45 hours — the average head start between SCAND.Ai detecting a story and its first mainstream RSS coverage (measured across 38 stories). — as of

Cite this"45 hours — the average head start between SCAND.Ai detecting a story and its first mainstream RSS coverage (measured across 38 stories)." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-detection-speed

8,030 AI public figures and organizations tracked across the industry. — as of

Cite this"8,030 AI public figures and organizations tracked across the industry." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-figures

6,059 tracked AI figures carry full published profiles. — as of

Cite this"6,059 tracked AI figures carry full published profiles." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-figures-bio

1,327 content items processed per day, averaged over the last 30 days. — as of

Cite this"1,327 content items processed per day, averaged over the last 30 days." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-daily-volume

1,866 content items ingested in the last 24 hours. — as of

Cite this"1,866 content items ingested in the last 24 hours." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-content-24h

32.8 AI-generated controversy analyses published per day, averaged over the last 30 days. — as of

Cite this"32.8 AI-generated controversy analyses published per day, averaged over the last 30 days." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-daily-analyses

14,002 new controversy topics opened in the last 30 days. — as of

Cite this"14,002 new controversy topics opened in the last 30 days." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-new-topics-30d

35.5% of analyzed AI controversies fall in the Ethics category — the largest single share. — as of

Cite this"35.5% of analyzed AI controversies fall in the Ethics category — the largest single share." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-top-category

34.8/100 — the average noise level across all active AI controversies. — as of

Cite this"34.8/100 — the average noise level across all active AI controversies." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-avg-noise

82/100 — the noise level of the loudest AI controversy right now. — as of

Cite this"82/100 — the noise level of the loudest AI controversy right now." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-peak-noise

5,287 tracked controversies involve two or more named public figures. — as of

Cite this"5,287 tracked controversies involve two or more named public figures." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-multi-party

1.4 distinct platforms cover the average active AI controversy. — as of

Cite this"1.4 distinct platforms cover the average active AI controversy." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-platforms-per-story

5,615 duplicate stories were detected and merged by the six-layer deduplication pipeline in the last 30 days. — as of

Cite this"5,615 duplicate stories were detected and merged by the six-layer deduplication pipeline in the last 30 days." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-dedup-30d

15 minutes — the fastest crawl cadence; every monitored source is re-crawled at least every 30 minutes, around the clock. — as of

Cite this"15 minutes — the fastest crawl cadence; every monitored source is re-crawled at least every 30 minutes, around the clock." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-crawl-cadence

6 platform types are monitored continuously: Hacker News, Google News, Reddit, RSS/ArXiv feeds, Bluesky, and Polymarket prediction markets. — as of

Cite this"6 platform types are monitored continuously: Hacker News, Google News, Reddit, RSS/ArXiv feeds, Bluesky, and Polymarket prediction markets." SCAND.Ai, September 9, 2026. https://scand.ai/stats#stat-sources

Frequently asked questions

How many AI controversies has SCAND.Ai fully analyzed?

5,307 AI controversies fully analyzed with summaries, named parties, and forecasts.

How many AI controversies is SCAND.Ai actively monitoring right now?

369 active AI controversies are under live monitoring right now.

How many AI stories are currently at the scandal level?

0 stories are currently in the scandal state — the highest escalation level of the SCAND.Ai state machine.

How much faster does SCAND.Ai detect AI controversies than mainstream press?

45 hours — the average head start between SCAND.Ai detecting a story and its first mainstream RSS coverage (measured across 38 stories).

How many AI public figures and organizations does SCAND.Ai track?

8,030 AI public figures and organizations tracked across the industry.

Which category has the most AI controversies?

35.5% of analyzed AI controversies fall in the Ethics category — the largest single share.

Statistics outside their plausibility bounds are automatically withheld rather than published wrong. See also: methodology · dataset · corrections policy