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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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