Automation index
How much of a Community health worker’s job can AI already do?
A workshop and a leaflet come earlier. Reaching the person who never walks into the clinic do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Community health worker
24%
AI can already do 24% of this job.
#256 / 633
View rankingCommunity health worker
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 |
|---|---|---|---|
Health map, workshops and the calendar.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Street, doorway and the neighbour who does not come.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Vaccines, screening and referring to the clinic.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Data, report and the health table.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The rumour, the distrust and not moralising.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they come, and not inflating workshop numbers.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- health workshops
- health map
- door-to-door
- refer to clinic
- screening
- health table
- community vaccination
- health distrust
Sources for this job· O*NET 21-1094.00· ESCO/ISCO 3253
IS WORK OVER?
Home-automation installer
23%
#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