# State of AI Dubbing 2026 — Top 20 Stats for Journalist Use

> Pre-formatted, guardrail-safe statistics for direct quotation in press articles.
> All statistics scoped to Perso AI's data. CC BY 4.0 with attribution to Perso AI.

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## Headline / Hero Stats (Top 5)

1. **316,856 projects** across 16 months — total dubbing activity on the Perso AI platform (Jan 2025 – Apr 2026)

2. **4,023 professional creators** in 80+ countries — creators producing 6+ dubbing projects on Perso AI

3. **909 active language pair combinations** — across 36 source × 34 target languages within Perso AI's data

4. **96% share rate** — among Perso AI's 316,856 dubbing projects, 96% were shared immediately after production

5. **47 power creators · 15 languages average** — within Perso AI's data, the top 1% of professional creators dub into 15 target languages on average; the infrastructure supports 33

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## Use Case Map Findings (Top 8)

6. **Religion's dual hub: English 25.6% ≈ Portuguese 25.2%** — within Perso AI's 6,229 religion-category projects, English and Portuguese form a near-equal dual hub (gap within ±1.0–1.2%p at 95% CI; Portuguese reaches English-parity at scale)

7. **K-Content spillover: Korean #2 in sci/tech (12.5%)** — within Perso AI's 6,160 sci/tech projects, Korean ranks as #2 target language, ahead of Spanish (8.9%); a pattern consistent with K-Content's broader cultural footprint extending into knowledge consumption

8. **Korean-target = 30% knowledge content** — within Perso AI's Korean-target dubbing, knowledge verticals (sci/tech 16.0% + education 13.6%) account for ~30% of demand

9. **Education leads with 34 languages** — Perso AI's most language-diverse industry; among 12,446 categorized education projects, 34 unique target languages are active

10. **Animation: Hindi 31.5%, Portuguese 16.3%, English 15.5%** — within Perso AI's 10,434 animation projects, Hindi leads target distribution

11. **Film/Drama: Hindi 34.9%, English 17.6%, Indonesian 11.0%** — within Perso AI's 8,347 film/drama projects, Asian markets dominate target distribution

12. **Medical-target = Japan dominance** — within Perso AI's Japanese-target dubbing, 16% is medical/health — the highest medical concentration among major target markets in Perso AI's data

13. **Russian gaming concentration** — within Perso AI's Russian-target dubbing, 16.3% is gaming — the highest gaming concentration among major target markets

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## Market Bifurcation (Quarterly YoY)

14. **Professional creator base grew +73.2% YoY in Q1 2026** — within Perso AI's data, professional creators (6+ projects) accelerated sharply

15. **Single-use trial activity declined -18.4% YoY in Q1 2026** — within Perso AI's 115,439 mass-market single-use accounts, casual experimentation plateaued

16. **The market within Perso AI's data is bifurcating** — serious professional usage accelerating while casual trial activity contracts

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## Multi-Language Adoption Frontier (Power Creators)

17. **Median pro creator: 1 target language** — among Perso AI's 4,023 professional creators, the distribution is heavy-tailed

18. **484 creators dub into 5+ languages; 143 into 10+** — within Perso AI's data

19. **Maximum: 33 target languages (single creator)** — Perso AI's platform infrastructure supports this; the top single creator reaches it

20. **Top 1% cohort spans 44 unique workspaces (87%)** — among the 47 power creators, 87% are on unique workspaces; no single-organization dominance (the multi-language adoption frontier is dispersed, not concentrated — see Appendix A in the main report)

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## How to Cite

**APA**: Perso AI Data Team. (2026). *State of AI Dubbing 2026: A Multi-Vertical Analysis of Perso AI's Professional Creator Data.* Perso AI. https://perso.ai/research/state-of-ai-dubbing-2026/

**Short citation in article**: "according to Perso AI's *State of AI Dubbing 2026* report"

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## Guardrail Reminders for Journalists

- All percentages are scoped to Perso AI's data (single-platform).
- Findings are not generalized to the entire AI dubbing market without external corroboration.
- K-Content spillover finding (#7) admits two explanations of equal plausibility (cultural spillover OR Perso AI's Korean user-acquisition footprint); the report frames the finding as "consistent with" not "proof of" the spillover hypothesis.
- The "Dual Hub" finding (#6) describes magnitude (English-parity at scale), not a statistically distinguishable lead.

For methodology details and limitations, see: perso.ai/research/state-of-ai-dubbing-2026/data/methodology-2026.md