IS WORK OVER?

Automation index

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

A photo and an analysis come earlier. The scalpel, and not loading the work, do not.

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

Task comparison

Art conservator

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
Survey, photos, analysis and the treatment proposal.
Estimate

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

16%40%+6.4
Cleaning, fill, inpainting and protection.
Estimate

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

22%8%+1.8
Reversibility, and not overworking the piece.
Estimate

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

16%22%+3.5
Report, dossier and the owner’s or museum’s yes.
Estimate

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

16%28%+4.5
Transport, climate and the piece’s setting.
Estimate

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

16%18%+2.9
Ethics and liability for what is touched.
Estimate

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

14%12%+1.7
Total100%21%

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

Skills and activities

  • conserve art
  • clean paint
  • inpainting
  • fills
  • treatment report
  • reversibility
  • analyse the work
  • not overworking the piece

Sources for this job· O*NET 25-4013.00· ESCO/ISCO 2621

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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