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?

23%

AI can already do 23% of this job.

#333 / 763

Anthropologist

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. Estimate No public source provides a precise figure. This is our estimate.	18%	40%	+7.2
Field, interviews and observation. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Archive, literature and research design. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Ethics, consent and communities. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Teaching, projects and outreach. Estimate No public source provides a precise figure. This is our estimate.	16%	16%	+2.6
Not extracting from people without giving anything back. Estimate No 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

IS WORK OVER?

27%

#185 / 763

QA automation engineer

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
Test, the selector and the flake. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Pipeline, the green and the one that lies. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Bug, the repro and not closing it blind. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Data, the environment and not sharing prod. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The developer, the rush and not skipping the one that fails. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Catch the bug, and not painting a lying green. Estimate No 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