Automation index
How much of a Linguist’s job can AI already do?
A corpus comes earlier. Describing the language without over-prescribing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Linguist
27%
AI can already do 27% of this job.
#167 / 623
View rankingLinguist
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Corpus, glosses and the analysis.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, the speaker and the one who will not.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Report, the variety and not dismissing it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Teach, the standard and not humiliating.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The job, the rush and not faking the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Describe, and not over-prescribing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- corpus
- glosses
- varieties
- speakers
- the standard
- linguistic fieldwork
- analysis
- not over-prescribe
Sources for this job· O*NET 19-3099.00· ESCO/ISCO 2643
IS WORK OVER?
Translator
52%↓
#1 / 623
View rankingTranslator
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Follow ethical codes that protect the confidentiality of information.EstimateNo public source provides a precise figure. This is our estimate. | 15% | 28% | +4.2 |
| Translate messages simultaneously or consecutively into specified languages, orally or by using hand signs, maintaining message content, context, and style as much as possible. | 14% | 72% | +10.1 |
| Listen to speakers' statements to determine meanings and to prepare translations, using electronic listening systems as necessary. | 11% | 72% | +7.9 |
Identify and resolve conflicts related to the meanings of words, concepts, practices, or behaviors.EstimateNo public source provides a precise figure. This is our estimate. | 10% | 28% | +2.8 |
| Check translations of technical terms and terminology to ensure that they are accurate and remain consistent throughout translation revisions. | 8% | 72% | +5.8 |
| Refer to reference materials, such as dictionaries, lexicons, encyclopedias, and computerized terminology banks, as needed to ensure translation accuracy. | 7% | 72% | +5 |
| Compile information on content and context of information to be translated and on intended audience. | 7% | 72% | +5 |
| Adapt translations to students' cognitive and grade levels, collaborating with educational team members as necessary. | 7% | 72% | +5 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 21% | 28% | +5.9 |
| Total | 100% | 52% |
Modelled workweek: 100% · Public evidence: 54% · Estimate: 46% · Confidence: Medium
Skills and activities
- translate texts
- interpret
- proofread translations
- information confidentiality
- spelling
- office software
- grammar
- speak different languages
- master language rules
- develop a translation strategy
Sources for this job· O*NET 27-3091.00· ESCO/ISCO 2643