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

Colourist

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
Look, stills and the reference.
Estimate

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

18%48%+8.6
Session, nodes and the hard shot.
Estimate

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

16%40%+6.4
Skin, sky and not eating the set.
Estimate

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

16%22%+3.5
Delivery, HDR and the one that misses in the theatre.
Estimate

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

16%28%+4.5
The director, the ego and not loading the orange.
Estimate

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

18%14%+2.5
Skin holds, and the look does not lie.
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

  • looks
  • nodes
  • skin
  • HDR
  • stills
  • the colour bay
  • hard shots
  • look references

Sources for this job· O*NET 27-4032.00· ESCO/ISCO 3521

Analyse my job

Jobs with similar scores

  1. 298Infectious disease physician23%
  2. 299Labour inspector23%
  3. 300Alarm installer23%
  4. 302Station master23%
  5. 303Aircraft mechanic23%
  6. 304Family doctor23%