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
IS WORK OVER?
Shutter installer
19%
AI can already do 19% of this job.
#511 / 643
View rankingShutter 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.
| Task | Share | AI | Points |
|---|---|---|---|
Measure, order and the box that will not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Box, axle and the motor in the opening.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Tape, slats and the one that derails.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Program the remote and the limit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The neighbour, the inner courtyard and not scratching the frame.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
That it runs true, and not leaving a lame box.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 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
IS WORK OVER?
Tram driver
19%
#496 / 643
View rankingTram 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.
| Task | Share | AI | Points |
|---|---|---|---|
Checks, log and the cab.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, stops and the pedestrian who steps out.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Badly parked car, calls and Control.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Timetable, reliefs and rush hour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The tourist, the bike and not over-hooting.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Hit nobody, and make the terminus.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive trams
- urban stops
- pedestrians
- badly parked cars
- Control
- rush hour
- cab checks
- terminus
Sources for this job· O*NET 53-4041.00· ESCO/ISCO 8311