IS WORK OVER?

Automation index

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

A wing pathway comes earlier. Being in the yard so the workshop does not go sideways do not.

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

Task comparison

Prison educator

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
Programmes, reports and the treatment board.
Estimate

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

16%36%+5.8
Wing, yard and the fight that blows up.
Estimate

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

18%12%+2.2
Workshop, studies and the one who shows up.
Estimate

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

16%28%+4.5
Family, leave and the note to the lawyer.
Estimate

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

16%22%+3.5
The hard inmate and not losing authority.
Estimate

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

18%18%+3.2
The bond inside, and it not being paper.
Estimate

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

16%14%+2.2
Total100%21%

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

Skills and activities

  • treatment programmes
  • prison workshops
  • the yard
  • treatment board
  • leave reports
  • the wing
  • prison study
  • yard conflict

Sources for this job· O*NET 21-1092.00· ESCO/ISCO 2635

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

Analyse my job

Jobs with similar scores

  1. 421Mixer-truck driver21%
  2. 422Animal breeder21%
  3. 423Youth educator21%
  4. 425Dialysis nurse21%
  5. 426Driving examiner21%
  6. 427Façade technician21%