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

Tow-truck driver

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
Call, route and the vehicle type.
Estimate

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

16%36%+5.8
Hard shoulder, hook and traffic that will not stop.
Estimate

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

22%8%+1.8
Hydraulics, bed and the low car that scrapes.
Estimate

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

16%22%+3.5
Garage, the note and the client who argues.
Estimate

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

16%28%+4.5
Night, rain and not becoming the next crash.
Estimate

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

16%18%+2.9
Not making the crash worse, and signing the hook.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • hook vehicles
  • hard shoulder
  • the bed
  • recovery calls
  • crane hydraulics
  • recovery notes
  • traffic
  • low cars

Sources for this job· O*NET 53-3032.00· ESCO/ISCO 8332

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