IS WORK OVER?

Automation index

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

A unit comes earlier. Teaching with the door, and them actually learning, do not.

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

Task comparison

Prison teacher

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
Unit, the wing and the allowed kit.
Estimate

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

16%40%+6.4
Classroom, the one who comes to sit and the one who wants it.
Estimate

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

18%14%+2.5
Security, the pencil and not losing one.
Estimate

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

16%28%+4.5
Exam, the certificate and not giving it away.
Estimate

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

16%22%+3.5
Officers, the move and not leaving the group half done.
Estimate

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

18%18%+3.2
Teach, and that they actually learn.
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

  • wings
  • allowed kit
  • prison certificates
  • classroom security
  • pencils
  • moves
  • warming the chair
  • prison education

Sources for this job· O*NET 25-3011.00· ESCO/ISCO 2320

Traffic engineer

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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

Analyse my job

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