IS WORK OVER?

Automation index

How much of a Shutter installer’s job can AI already do?

A measure and a motor come earlier. Leaving the shutter running true do not.

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

Task comparison

Shutter installer

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
Measure, order and the box that will not fit.
Estimate

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

16%32%+5.1
Box, axle and the motor in the opening.
Estimate

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

22%8%+1.8
Tape, slats and the one that derails.
Estimate

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

16%22%+3.5
Program the remote and the limit.
Estimate

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

16%28%+4.5
The neighbour, the inner courtyard and not scratching the frame.
Estimate

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

16%18%+2.9
That it runs true, and not leaving a lame box.
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

  • measure shutters
  • fit boxes
  • shutter motors
  • slats
  • limit switches
  • tape
  • program remotes
  • axles

Sources for this job· O*NET 47-2031.00· ESCO/ISCO 7115

Criminologist

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
Data, maps and the victimisation report.
Estimate

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

18%48%+8.6
Profiles, reoffending and programme evaluation.
Estimate

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

16%40%+6.4
Field, interviews and what the spreadsheet misses.
Estimate

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

18%18%+3.2
Police, judges and the measure under debate.
Estimate

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

16%28%+4.5
Prevention, the neighbourhood and the programme that does not fit.
Estimate

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

16%22%+3.5
The opinion, and not selling magic recipes.
Estimate

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

16%14%+2.2
Total100%28%

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

Skills and activities

  • crime maps
  • study reoffending
  • victimisation
  • evaluate programmes
  • situational prevention
  • criminological profiles
  • reports for judges
  • fieldwork

Sources for this job· O*NET 19-3041.00· ESCO/ISCO 2632

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