IS WORK OVER?

Automation index

How much of a Olive-oil miller’s job can AI already do?

A yield comes earlier. Cold extracting without overheating do not.

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

Task comparison

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

Potter

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
Clay, wheel and centring.
Estimate

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

16%32%+5.1
Pull, turn and the one that collapses.
Estimate

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

22%8%+1.8
Dry, glaze and the kiln.
Estimate

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

16%22%+3.5
Order, the set and the colour that misses.
Estimate

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

16%28%+4.5
The market, the piece and not opening too wide.
Estimate

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

16%18%+2.9
Survive the kiln, and not leaving a fat foot.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • wheel
  • centre clay
  • pull pieces
  • glaze
  • kiln
  • drying
  • tableware sets
  • the foot

Sources for this job· O*NET 51-9195.00· ESCO/ISCO 7314

Analyse my job

Jobs with similar scores

  1. 345Banquet manager22%
  2. 346Table official22%
  3. 347Radio host22%
  4. 349Special-education teacher22%
  5. 350Primary school teacher22%
  6. 351Doctor22%