IS WORK OVER?

Automation index

How much of a Archaeologist’s job can AI already do?

A report and a sheet come earlier. Digging and not breaking the context do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Archaeologist

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
Sheets, drawing and the intervention report.
Estimate

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

16%40%+6.4
Excavate, sieve and record units.
Estimate

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

20%12%+2.4
Authorities, developer and site deadlines.
Estimate

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

16%22%+3.5
Lab, dating and publication.
Estimate

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

16%28%+4.5
Store, conservation and outreach.
Estimate

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

16%16%+2.6
Not losing a context by going too fast.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • Excavate, sieve and record units
  • Authorities, developer and site deadlines
  • Lab, dating and publication
  • Store, conservation and outreach
  • Not losing a context by going too fast
  • arqueologo
  • archaeologist

Sources for this job· O*NET 19-3091.00· ESCO/ISCO 2632

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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