Not Very Resilient

Last Update: 8/30/2026

AI Resilience Score for Interpreters & Translators:

24.4%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
High

Contributing sources

Methodology and Scoring Rationale

To score how resilient interpreting and translating work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For interpreters and translators, all eight sources had data and strongly agreed: every AI exposure source rated this role Low on resilience, meaning AI can handle much of the conversion between languages already. A medium hiring outlook from BLS Opportunity Score provided some lift, but Wage Bill and Adaptive Capacity both came in Low, keeping confidence high and the label at "Not Very Resilient."

AI Resilience Report forInterpreters and Translators

$60,170 median salary6,000 annual openingsSOC Code: 27-3091.00

Interpreters and Translators are less resilient to AI impacts than most occupations, according to our analysis of 8 sources.

Interpreting and translating is labeled "Not Very Resilient" because AI tools like DeepL, Google Translate, and ChatGPT can already handle a huge portion of the routine, everyday translation work that used to require a human, and the field is only projected to grow 2 percent from 2025 to 2035, which is slower than almost every other career out there. The core tasks of the job, like drafting translations, checking terminology, and rewriting text, are increasingly being done by AI right inside professional software, leaving humans mostly in a reviewing and polishing role.

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This role is not very resilient

Interpreting and translating is labeled "Not Very Resilient" because AI tools like DeepL, Google Translate, and ChatGPT can already handle a huge portion of the routine, everyday translation work that used to require a human, and the field is only projected to grow 2 percent from 2025 to 2035, which is slower than almost every other career out there. The core tasks of the job, like drafting translations, checking terminology, and rewriting text, are increasingly being done by AI right inside professional software, leaving humans mostly in a reviewing and polishing role.

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Analysis of Current AI Resilience

Interpreters & Translators

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Interpreters & Translators jobs?

If you're thinking about becoming a translator or interpreter, it's fair to feel a mix of curiosity and concern — this field is being reshaped by AI faster than almost any other. Modern AI tools are already handling large chunks of the routine work. Certain jobs are at very high risk, like interpreters and translators (98%) and historians (91%), with tools such as ChatGPT, DeepL, and Google Translate doing many of their tasks, according to a statistics roundup from Datarefs [1] updated in August 2026.

Much of this is augmentation rather than pure replacement: professional platforms are baking AI directly into the translator's workflow. MultiLingual reports [2] that the new Trados Studio 2026 offers significant performance, AI and terminology enhancements, including brand new options to bring the world's most advanced AI translation engine, Language Weaver Pro, into the Trados ecosystem, and Trados Studio 2026 also brings large language models (LLMs) directly into the professional translation workflow. That means the "reference dictionaries," terminology checks, and first-draft rewriting listed as core tasks are increasingly done by AI, while humans review, polish, and handle high-stakes decisions.

Interpreting is next: an AImultiple analysis [3] notes that recent college graduates may struggle as AI reduces demand for junior knowledge workers, while call-center employees, translators, software professionals, and other workers performing routine digital tasks face a higher risk of displacement.

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AI Adoption

How fast is AI adoption growing for Interpreters & Translators?

Adoption is moving quickly because the tools are cheap, widely available, and produce "good enough" results for lots of everyday content. The U.S. Bureau of Labor Statistics [4] now projects that employment of interpreters and translators is projected to grow 2 percent from 2025 to 2035, slower than the average for all occupations. Despite limited employment growth, about 6,000 openings for interpreters and translators are projected each year — a clear signal that AI is dampening demand.

But social, legal, and ethical guardrails are slowing full replacement in high-stakes settings. The American Translators Association reports [5] that it led a massive grassroots and legislative push against Wisconsin Assembly Bill 377, which proposed allowing AI-powered tools to replace court-certified human interpreters... Thanks to these coordinated efforts, the bill officially failed to pass the Senate on March 19, and the ATA is advocating for the integration of human, qualified professional interpreters in government-funded programs to replace reliance on unvetted, automated AI solutions.

The takeaway: routine translation is being automated, but confidentiality, ethics, mentoring, and high-stakes interpreting in courts, hospitals, and classrooms still need trained humans — so specializing in those areas is one of the smartest moves a young language professional can make.

Sources

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Will AI replace Interpreters & Translators?

Will AI replace Interpreters & Translators?

In part. We think AI will eventually automate a real share of this work, but human language professionals still have a meaningful role to play, especially in high-stakes settings.

Our 24.4% AI Resilience Score reflects how exposed this field already is. Tools like DeepL and Google Translate are handling routine translation at scale, and AI is now embedded directly into professional platforms like Trados Studio [2]. The Bureau of Labor Statistics projects only 2% employment growth through 2035, slower than average, a clear sign that AI is absorbing demand [4].

That said, not everything is being automated. Courts, hospitals, and classrooms still need trained human interpreters, and advocates are actively fighting to keep it that way. The American Translators Association successfully helped defeat a Wisconsin bill that would have allowed AI tools to replace certified court interpreters [5]. Confidentiality, ethics, and cultural nuance remain genuinely hard for machines to get right.

If you love languages, the smarter path is to specialize in high-stakes, relationship-driven work, and to build skills that travel: cross-cultural communication, legal or medical knowledge, community advocacy. Those abilities matter in education, international business, public health, and policy. The field is shrinking in some directions, but it is opening in others.

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Latest AI news for Interpreters & Translators

These articles highlight the significant impact of AI on translation and interpretation careers. For instance, the study from Microsoft shows that roles involving communication, such as translators, are increasingly at risk due to automation. Additionally, the article from Mezha.net discusses how AI tools are reducing demand for human translators, affecting job security and income. However, understanding these challenges can foster "AI resilience." Students can adapt by enhancing their skills in areas where human insight and creativity remain invaluable, ensuring they stay relevant in a changing landscape.

More Career Info

Career: Interpreters and Translators

They help people understand each other by changing spoken or written words from one language to another.

Employment & Wage Data

Median Wage

$60,170

Jobs (2025)

73,900

Growth (2025-35)

+2.0%

Annual Openings

6,000

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

85% ResilienceSupplemental

Travel with or guide tourists who speak another language.

2

82% ResilienceCore Task

Train and supervise other translators or interpreters.

3

80% ResilienceCore Task

Educate students, parents, staff, and teachers about the roles and functions of educational interpreters.

4

75% ResilienceCore Task

Follow ethical codes that protect the confidentiality of information.

5

70% ResilienceSupplemental

Adapt translations to students' cognitive and grade levels, collaborating with educational team members as necessary.

6

60% ResilienceSupplemental

Discuss translation requirements with clients and determine any fees to be charged for services provided.

7

55% ResilienceCore Task

Identify and resolve conflicts related to the meanings of words, concepts, practices, or behaviors.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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