Translators & Localization Specialists

CNN profiled Irish-language translator Timothy McKeon, who enjoyed years of steady work for European Union institutions before losing approximately 70% of his EU translation income as AI tools replaced human translators. A 2024 survey by the UK's Society of Authors found that more than a third of translators had lost work due to generative AI, and 43% reported their income had dropped because of the technology. Research on an online labor platform found that freelance translators' earnings dropped by 29.7% after the release of ChatGPT 3.5. The International Monetary Fund reduced its translator and interpreter staff from 200 to 50 due to greater use of technology.

The UK's Chartered Institute of Linguists (CIOL) surveyed its freelance translator and interpreter members in December 2024, finding that nearly half (49%) reported a significant decrease in work volumes during 2024, with an additional 21% experiencing smaller declines. Over 70% of respondents reported decreased work volumes overall. The number of translation jobs declined by between one-sixth and one-eighth compared to 2022-2023, and remaining jobs were mostly machine translation post-editing (MTPE) -- work of much lower value. Only 5% of respondents reported substantial growth. The impact was more severe for translators than interpreters.

Machine translation post-editing (MTPE) has become the dominant workflow in the translation industry, with rates typically set at 50-60% of full human translation fees. Light post-editing pays 40-50% of standard per-word rates, while full post-editing ranges from 50-70%. Software localizers -- among the first specializations to see wholesale MTPE adoption -- have experienced some of the steepest rate erosion as tech companies integrate neural MT directly into localization pipelines. A 2025 GTS Translation survey found 85.99% of freelance translators believe MTPE pricing has worsened compared to previous years. Critically, translators report that full post-editing -- where a polished target text with no trace of machine output is expected -- often requires more cognitive effort than translating from scratch, yet pays substantially less. Half of freelance translators now refuse to offer MTPE discounts, citing chronically underestimated effort.

The Authors Guild's 2022 survey of U.S. literary translators found that 63.5% earned less than $10,000 annually from literary translation -- double the proportion from 2016. Only 11.5% derived 100% of their income from translation, while 74% held additional jobs. The average per-word rate was $0.13, rising only 8% since 2017 while the U.S. cost of living increased 20%. A translator would need to complete four to five average-length books per year to earn $50,000 -- a pace that is incompatible with the careful, creative work literary translation demands.

The European Council of Literary Translators' Associations (CEATL) surveyed approximately 3,000 literary translators across 28 European countries and found that income has hardly increased over the last decade. Pay disparities are extreme: a literary translator in Romania earns less than EUR 700 for translating a 200-page book (at EUR 3.26 per 1,800 keystrokes), while a translator in Iceland earns over EUR 7,000 for the same work (at EUR 35.25 per 1,800 keystrokes) -- a tenfold gap. Translators across Europe largely struggle to earn a substantial income through literary translation alone, depending on supplementary royalties, grants, and second jobs to survive.

Despite 50% of film revenue coming from translated versions, only 0.01-0.1% of production budgets are spent on subtitling and localization. Netflix pays approximately $13 per minute for Korean-to-English subtitles, but translators actually receive around $5 per minute while localization companies pocket over 50% in profit. Translation rates in Japan have declined nearly 25% due to undercutting by competitors. Language-related work is typically done at the end of each project using leftover budgets, leading streaming platforms to view language service providers as replaceable and hire the lowest-cost provider -- a race to the bottom that prioritizes cost over quality and translator welfare.

A CEPR study analyzing U.S. labor market data from 2010-2023 found that areas with higher adoption of Google Translate experienced measurably slower growth in translator employment. For each 1 percentage point increase in machine translation usage, translator employment growth dropped by approximately 0.7 percentage points. The authors estimate roughly 28,000 new translator positions were never created due to machine translation displacing demand. The effects extend beyond translation itself: regions with high machine translation adoption also experienced slower growth in job advertisements requiring foreign language skills, eroding the broader economic value of multilingual expertise.

Research examining translators in the platform economy found that work is predominantly outsourced by businesses in the Global North to workers in the Global South to reduce costs. In Turkey, where translators face record inflation, currency depreciation, and high unemployment, platform work has become one of few options to earn in foreign currency. Hungarian agencies pay translators approximately 50% less than their UK or Ireland counterparts, while Indian translators average just $0.04 per source word -- with minimums as low as $0.01 per word. The study documented substantial disparities in meeting fundamental conditions of decent work, including insufficient earnings, excessive working hours, difficulties achieving work-life balance, and limited social security access.