IS WORK OVER?

Automation index

How much of a Home-automation installer’s job can AI already do?

A scene comes earlier. The house obeying without going dark do not.

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

Task comparison

Home-automation 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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

Sports physician

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
CPET, labs and load.
Estimate

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

16%48%+7.7
Injury, exam and the yes or no to training.
Estimate

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

18%18%+3.2
Rehab, injections and the club note.
Estimate

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

16%28%+4.5
Anti-doping, certificates and the yearly check.
Estimate

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

16%22%+3.5
The bench, the match and the twisted ankle.
Estimate

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

18%14%+2.5
Club pressure and signing return to play.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • CPET
  • rehab injuries
  • return to play
  • inject athletes
  • anti-doping
  • fitness certificate
  • training load
  • sports medicine

Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212

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