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.
#170 / 643
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?
Clinical research associate
27%
#172 / 643
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.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
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131