AI Translation in High-Tech Industries: Capabilities, Limitations, and Best Practices

About this report

Every language vendor now claims AI capability, which makes the claim useless for comparison. This report sets out where AI-assisted translation genuinely reduces cost and turnaround, where it moves cost into review rather than removing it, and where it should not be used without expert validation — organised by content type rather than by industry, because consequence follows content, not sector.

What it covers

1. How AI-assisted translation is actually deployed in regulated industries
2. Content-type risk matrix: where errors are cheap and where they are not
3. The three recurring failure modes and why better models do not remove them
4. Service-level selection: matching content consequence to review depth
5. Terminology assets and how reuse changes multi-year cost
6. Vendor evaluation: the questions that separate providers