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

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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