Not Very Resilient
Last Update: 7/31/2026
AI Resilience Score for Interpreters & Translators:
23.4%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forInterpreters and Translators
$60,170 median salary•6,900 annual openings•SOC 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 the core of the work, converting text and speech from one language to another, is exactly what AI tools like neural machine translation are built to do, and they do it cheaply and instantly. This has already led to real job cuts (like DeepL reducing its workforce by about 25%) and is pushing down demand for routine, high-volume translation work across the industry.
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Interpreting and translating is labeled "Not Very Resilient" because the core of the work, converting text and speech from one language to another, is exactly what AI tools like neural machine translation are built to do, and they do it cheaply and instantly. This has already led to real job cuts (like DeepL reducing its workforce by about 25%) and is pushing down demand for routine, high-volume translation work across the industry.
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Interpreters & Translators
Updated Quarterly
How is AI changing Interpreters & Translators jobs?
The translation and interpreting world is changing fast, but it's not disappearing. AI tools like neural machine translation and live voice translation are now handling huge chunks of routine work—especially the parts that involve looking up terminology, drafting first versions of documents, and translating high-volume content. A clear sign of the shift came in May 2026, when DeepL announced it would cut about 25% of its roughly 1,000-person workforce, with its CEO calling the move a "massive structural shift" driven by AI [1].
On the spoken side, Slator reports that a majority of language service providers surveyed are either piloting AI interpreting or planning for it, calling it "the next competitive baseline" [2].
But humans are being augmented more than fully replaced. The American Translators Association notes that AI tools can handle repetitive or technical aspects of translation, freeing humans to focus on cultural insight and critical thinking, with newcomers' roles evolving toward "cultural mediation and AI optimization" [3]. High-stakes work still depends on people: NAJIT is hosting a 2026 conference focused on what AI cannot do in courtroom and legal settings [4], and a recent "Justice Disrupted" report found that courts face a real shortage of certified interpreters and warns that "technology does not create certified interpreters" [5].
Sources
How fast is AI adoption growing for Interpreters & Translators?
Adoption is moving quickly where the economics are obvious. AI translation is cheap, widely available, and instant—Goldman Sachs estimates AI could ultimately replace the equivalent of 300 million full-time jobs globally [6], and language work is on the front lines because text is exactly what large language models handle best. Companies see big savings on bulk translation, which pushes faster rollout.
However, adoption is slower in areas where mistakes are dangerous or illegal. Courtrooms, hospitals, and immigration hearings still legally require certified human interpreters, and the ATA stresses that machines "struggle to grasp subtleties that depend on cultural context" [3]—idioms, tone, and intent. Confidentiality rules, ethics codes, and liability concerns also slow full automation.
So if you're curious about this career, the safest path forward is to build deep skills in a specialty (legal, medical, conference), learn to use AI tools as a teammate, and lean into the human strengths—empathy, cultural awareness, and judgment—that machines still can't match.
Sources
Will AI replace Interpreters & Translators?
In part. We think AI will eventually automate a real share of this work, but human judgment and cultural fluency will still matter in the highest-stakes settings.
The numbers are honest about the pressure here. Our 23.4% AI Resilience Score puts this career among the more exposed occupations, and the real world is already catching up. In May 2026, DeepL cut roughly 25% of its workforce, with its CEO citing a "massive structural shift" driven by AI [1]. Bulk document translation, terminology lookups, and first-draft work are moving to machines quickly.
Still, not everything follows. Courts, hospitals, and immigration hearings legally require certified human interpreters, and as one report put it, "technology does not create certified interpreters" [5]. Machines still struggle with tone, idiom, and cultural intent [3], and legal and medical settings carry liability that slows full automation.
The smartest path forward is to treat this as a career journey, not just a single job title. Build deep expertise in a specialty like legal or medical interpreting, learn to work alongside AI tools rather than against them, and lean into skills that transfer broadly: cross-cultural communication, subject-matter knowledge, and ethical judgment. Those skills carry real value in adjacent roles even as the routine work shifts.
Sources
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Latest AI news for Interpreters & Translators
These articles highlight the evolving landscape for interpreters and translators amidst AI advancements. For instance, the Lingnan University study emphasizes that AI struggles with context and cultural nuances, underscoring the irreplaceable value of human insight in translation. Additionally, Pronto Translations stresses that human interpreters remain essential, even as AI tools grow. While AI may change job dynamics, it also opens new opportunities for professionals who can adapt and leverage technology, ensuring a resilient career path in language services.
Lingnan University study: AI falls short on context and cultural rhetoric. Research published in Humanities and Social Sciences Communications (Nature Portfolio journal)
www.asiaresearchnews.com • 7/20/2026
As generative artificial intelligence (AI) becomes increasingly widely used in translation, questions have been raised over whether it could...
AI translation tools require ‘due diligence’ from state and local leaders, expert says
www.route-fifty.com • 6/29/2026
Jurisdictions increasingly expect their offices to provide multilingual services in spite of resource constraints.
Which jobs are most vulnerable to AI?
www.wbaltv.com • 5/17/2026
Correspondence clerks, interpreters, translators and license clerks are more vulnerable to AI, new study shows.
Declining income, no consent: AI eats into Korea's creative, language workforce
www.koreatimes.co.kr • 4/24/2026
Voice actors, webtoon artists, interpreters say technology trained on their work is now taking their jobs...
Pronto Translations Reports Human Interpreters Remain Critical as AI Expands Across Language Services
www.newsfilecorp.com • 4/8/2026
New York, New York--(Newsfile Corp. - April 8, 2026) - Pronto Translations, a New York-based provider of interpretation and translation...
More Career Info
Career: Interpreters and Translators
They help people understand each other by changing spoken or written words from one language to another.
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Employment & Wage Data
Median Wage
$60,170
Jobs (2024)
75,300
Growth (2024-34)
+1.7%
Annual Openings
6,900
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Follow ethical codes that protect the confidentiality of information.
2
Proofread, edit, and revise translated materials.
3
Train and supervise other translators or interpreters.
4
Check original texts or confer with authors to ensure that translations retain the content, meaning, and feeling of the original material.
5
Identify and resolve conflicts related to the meanings of words, concepts, practices, or behaviors.
6
Adapt software and accompanying technical documents to another language and culture.
7
Discuss translation requirements with clients and determine any fees to be charged for services provided.
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.
