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
IS WORK OVER?
Home-automation installer
23%
AI can already do 23% of this job.
#301 / 633
View rankingHome-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.
| Task | Share | AI | Points |
|---|---|---|---|
Diagram, buses and scene programming.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Wire, sensors and the switch that does not answer.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Integrate lights, climate and the client app.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Train, guest mode and the one who breaks it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The lived-in house and not leaving it dark.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 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
IS WORK OVER?
Meteorologist
25%
#246 / 633
View rankingMeteorologist
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 |
|---|---|---|---|
Models, maps and a first forecast.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Observation, sondes and satellite.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Warnings, civil protection and media.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Shift, uncertainty and not over-scaring.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Verification, archives and research.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Not sitting on a warning that saves someone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Models, maps and a first forecast
- Observation, sondes and satellite
- Warnings, civil protection and media
- Shift, uncertainty and not over-scaring
- Verification, archives and research
- meteorologo
Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112