A Translator carries a 63/100 AI replacement risk (medium). AI can already handle routine documentation and reporting; Judgment in ambiguous situations still needs a person. Of exposed work, ~72% is automation vs 28% augmentation. Capability clock: ~1.3 years (2027). (ReplacedYet AI-Risk Index, 2026 data.)

Will AI replace a Translator?

AI replacement risk: 63/100 (medium risk). Moderate exposure — AI automates routine parts; judgment and relationships remain human.

Timeline: 2028–2031. Of the exposed work, roughly 72% is likely to be automated and 28% augmented. $2.9B/yr of US wages sit in highly-exposed work for this role.

AI/software exposure: 74%. Robot/physical-automation exposure: 0%.

Capability clock: AI's measured task horizon reaches this role's core complexity (~72.8h of human work) ~1.3 years (2027) — projected from METR's ~4.3-month doubling.

Pressure Index: 72/100 (high) — blends risk, demand trend, and real-world evidence. Job postings down 40% vs 2020.

AI tools targeting this role

  • DeepL — high-quality machine translation
  • Google Translate — instant text and speech translation

Layoff signal: high — Neural translation has sharply reduced demand for routine language work.

Tasks at risk

  • Routine documentation and reporting — AI drafts and formats standard documents for a Translator automatically.
  • Information lookup and summarization — LLMs retrieve and summarize the references a Translator relies on in seconds.
  • Repetitive, rules-based tasks — Predictable parts of a Translator’s workflow are increasingly automated.

Tasks that still need a human

  • Judgment in ambiguous situations — A Translator still applies human judgment where rules run out.
  • Relationships and accountability — Trust and responsibility in a Translator’s role stay human.

Skills that protect you

  • Work alongside AI tools — A Translator who directs AI outperforms one who competes with it.
  • Specialize and deepen expertise — Harder-to-automate niches protect a Translator.
  • Communication and stakeholder skills — The human side of a Translator’s job is the durable part.

Safer adjacent careers

Childcare Worker (5%) · Hairdresser (6%) · Nursing Assistant (6%) · Teaching Assistant (6%)

Related jobs

Sign Language Interpreter (63%) · Translator / Interpreter (58%) · Technical Writer (63%) · Call Center Agent (63%)

In the news

Frequently asked questions

Will AI replace Translators?
A Translator carries a 63/100 AI replacement risk (medium). AI can already handle routine documentation and reporting; Judgment in ambiguous situations still needs a person. Of exposed work, ~72% is automation vs 28% augmentation. Capability clock: ~1.3 years (2027). (ReplacedYet AI-Risk Index, 2026 data.)
Is a Translator job safe from AI?
Only partly. A Translator scores 63/100 (medium risk). AI can already handle a meaningful share of the tasks, so the safest path is shifting toward the judgment, relationship, and oversight parts of the role.
When will AI be able to do a Translator's job?
Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~1.3 years (2027). That projects the capability — actual adoption usually lags it.
How accurate is the Translator AI-risk score?
It's a transparent, computed estimate — directionally useful, not a guarantee. It blends six labor and AI-exposure signals (O*NET, BLS, Eloundou task exposure, AIOE, the Anthropic Economic Index, and physical-automation data). See the methodology page for the full formula.

Category: Language · Methodology · Download the dataset

ReplacedYet AI-Risk Index. Last updated 2026-06-27. AI-estimated and directionally useful, not a guarantee.