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?
Cartographer
31%
#31 / 633
View rankingCartographer
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 |
|---|---|---|---|
Sources, OSM, satellite and generalisation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Symbology, type and visual hierarchy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Projections, scales and getting the heights right.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Review with the client, the field and the lie in the data.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Print maps, web maps and updates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Credit, metadata and owning the map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- make maps
- generalise cartography
- symbology
- choose projection
- visual hierarchy
- update OSM
- web maps
- maps that do not lie
Sources for this job· O*NET 17-1021.00· ESCO/ISCO 2165