Cut Risk 80 / 100
Will AI replace Translators?
High cut riskCut Risk 80 / 100
Low riskHigh risk
What AI is automating
- Bulk and gist translation: internal documents, support content and product listings moved to machine translation years ago and the quality gap keeps closing.
- Localization first drafts: AI translates, humans post-edit. The per-word rate for post-editing is a fraction of traditional translation.
- Contract translator work at platforms: Duolingo said in 2025 it would phase out contractors doing work AI can handle, after earlier cutting translation contractors.
- Subtitling and transcription first passes.
What is resilient
- Literary, marketing and brand translation where tone is the product, not a nice-to-have.
- Certified and legal translation where a human signature carries liability.
- Interpretation in high-stakes settings: courts, medicine, diplomacy and live negotiation.
- Low-resource language pairs and specialized domains where AI training data is thin.
Verified losses in related industries
| Date | Company | Industry | Jobs cut |
|---|---|---|---|
| May 29, 2025 | Business Insider | Media | 200 |
Related industry events shown for context. Occupation-level attribution is being built out event by event.
Featured partner
Reskill for the AI era
12-week transition cohorts for translators.
Where to go next
AI-resilient jobs
Roles that are hiring humans
A live jobs feed for lower-exposure roles is coming here. Partner slot, labelled.
Reskill & move with AI
Transition and AI-skills programs
A curated feed of reskilling routes and AI-adjacent roles is coming here. Partner slot, labelled.
Frequently asked questions
- Will AI replace translators?
- Translation is one of the most exposed occupations we track. The volume work has already shifted to machine translation with human post-editing, compressing both jobs and rates. What survives is work where nuance, liability or live interpretation is the product.
- Which companies have cut translators because of AI?
- Duolingo is the clearest public case, phasing out contractors whose work AI can handle after earlier cutting translation contractors. Most of the shift happens invisibly, as agencies move clients to post-editing rates and freelance volumes dry up.
- Is machine translation actually good enough?
- For gist and internal use, usually yes. For anything customer-facing in a brand voice, legal documents or specialized domains, human review remains standard because errors are expensive. That review layer is where the remaining paid work concentrates.
- What should translators do now?
- Specialize where AI is weakest: certified legal work, interpretation, transcreation for marketing, and domain expertise like medical or patent translation. Generalist per-word translation is the segment disappearing fastest.