Automation index
How much of a Anthropologist’s job can AI already do?
A transcript and a code come earlier. Being in the field and not projecting too much do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Anthropologist
23%
AI can already do 23% of this job.
#287 / 633
View rankingAnthropologist
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 |
|---|---|---|---|
Transcribe, code and write.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 40% | +7.2 |
Field, interviews and observation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Archive, literature and research design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Ethics, consent and communities.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Teaching, projects and outreach.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not extracting from people without giving anything back.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Transcribe, code and write
- Field, interviews and observation
- Archive, literature and research design
- Ethics, consent and communities
- Teaching, projects and outreach
- antropologo
- anthropologist
Sources for this job· O*NET 19-3091.00· ESCO/ISCO 2632
IS WORK OVER?
Olive-oil miller
22%
#348 / 633
View rankingOlive-oil miller
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 |
|---|---|---|---|
Intake, yield and the mill log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Crush, malaxate and the decanter.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Temperature, time and the fruitiness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Cellar, the batch and the one that goes rancid.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The campaign, the tractor queue and not heating.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cold for real, and not painting the yield.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- crush olives
- malaxation
- decanter
- fruitiness
- the campaign
- mill yield
- oil cellar
- extraction temperature
Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514