IS WORK OVER?

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

Anthropologist

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.

TaskShareAIPoints
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
Total100%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

Last-mile manager

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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%26%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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