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?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512