Anthropic’s September 10 threat report describes AI‑assisted influence operations producing fabricated news, political videos and radio scripts. Its most useful distinction is between making that material and getting it in front of an audience. Across the report’s nine influence‑operation case studies, our tally finds eight explicit reach ratings: one in Category One, three each in Categories Two and Three, and one in Category Four. The remaining case has no explicit rating, even though Anthropic matched some of its output to published and broadcast material. Anthropic’s influence‑operation findings.
That uneven evidence matters. A network can manufacture thousands of articles without showing that ordinary readers engaged with them. An operator supplying an established broadcaster can have a route to audiences that a collection of fabricated social accounts lacks. Neither observation, by itself, measures how many people changed their minds. Reading the cases together reveals where Anthropic found distribution, where it found only production, and where the public record still cannot support a claim about effect.
The table preserves Anthropic’s own classifications. Each row represents a named case study, which can contain several accounts or operations; it does not represent one person, one account or one publication. The wider report describes activity it disrupted between December 2025 and August 2026, but individual campaign histories can extend beyond that window. These are selected cases detected by one provider, not a representative sample of all AI‑assisted influence activity. Report scope and case studies.
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The result is seven of eight rated cases in Categories One through Three, with no explicit Category Five or Six assignment. It would be misleading to turn that into a failure rate. The unrated Russian state‑media case includes affirmative distribution evidence, while the rated cases have different objectives, observation periods and amounts of available evidence. A missing category belongs outside the tally, not at the bottom of it. The nine underlying cases.