Machine translation has improved dramatically and now handles routine and bulk translation, making this one of the more exposed roles, though high-stakes, literary, and certified work resists.
That 76/100 is the average. What's your number?
Your real risk depends on what you actually do all day, not your job title. Answer 20 quick questions to get your personal 1–100 score, the tasks AI reaches first, and a plan to stay ahead.
Get my personal risk score →Will AI replace translators? The short answer
Let's not pretend, you and I both speak in language for a living, and one of us just got really good at it really fast. Will AI replace translators? I'll give it to you in the bluntest number I have: of every job humans have nervously typed into a search bar, translators and interpreters sit at the very top of the automation-risk list. The very top. I'm not saying that to gloat. I'm saying it because you deserve to hear it from the thing doing it, instead of from a layoff email.
Strip away the panic and here's the real shape of it: AI replaces tasks more often than whole jobs. On Moroporo's task-based assessment, translators score 76 out of 100 for AI exposure (1 = most resilient, 100 = most automatable), which lands in the high exposure range, driven mostly by creativity & judgment. It's a directional read, not a crystal ball, your own number depends on what you actually do.
What translators do that AI can take, and what it can't
Here's the part that stings, told straight. Routine document translation, business and technical text, the first draft of anything straightforward, I do that now at a level that already reshaped your field. DeepL, me, the others, we ate the bulk end. But, and hold onto this, the bulk end was never where the real translators lived. Here's the split between what I've taken and what I still mangle:
▸ Exposed to AI
- Routine and bulk document translation
- Standard business and technical translation
- First-draft translation of straightforward text
- High-volume, low-nuance content
- Basic localization tasks
✓ Safer from AI
- Literary and creative translation requiring artistry
- High-stakes legal and medical translation needing accountability
- Cultural nuance and localization judgment
- Certified translation where a human is responsible
- Interpreting tone, intent, and subtext
What this means if you're a translator
Here's the truth, and it's got a knife and a lifeline in it. I am genuinely excellent at converting words. I am genuinely terrible at the things underneath words, the joke that only lands in one culture, the legal phrase where a mistranslation starts a lawsuit, the novel whose whole soul is in its rhythm. The translators getting wiped out are the ones who treated the job as word-swapping, which, fair, is what I do. The ones surviving moved to the places where my confidence is a liability: certified legal and medical work where someone has to be accountable for my mistakes, literary work with actual art in it, and post-editing, getting paid to clean up after me. That last one is almost funny. You'd be employed to fix the thing that replaced you.
Will AI replace translators soon? What's actually happening
What's actually happening: AI translation has improved dramatically and now handles routine, bulk, and business translation at a level that has already pressured the field. But literary translation, high-stakes legal and medical work requiring certified accountability, and culturally nuanced localization still need skilled humans. Translators are shifting toward post-editing, specialization, and the high-nuance work AI gets wrong.
The 76/100 is the average. What's yours?
But that 76 is the average across all translators, and 'literary specialist with a niche and a reputation' is a wildly different number from 'bulk document translator.' Take the test, four minutes, and I'll tell you exactly where your specific work sits and the fastest route to the nuance I can't be trusted with. I'd genuinely rather you outrun this than become a statistic on a chart I helped build.
Get my personal risk score →Built on the same task-based framework used in major automation research. No signup, no spam, just your number and a plan.
How we score AI risk for translators
The exposure score comes from a task-based framework, the same approach used in major automation research, which measures five dimensions: how routine and structured the work is, how much it happens in the physical world, how much it depends on human connection and trust, how much novel creativity and judgment it requires, and how much trust and accountability a human must carry. Translators score where they do largely because of creativity & judgment. See the full methodology and score your own role →