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?

24%

AI can already do 24% of this job.

#256 / 633

Community health worker

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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Street, doorway and the neighbour who does not come. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Vaccines, screening and referring to the clinic. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Data, report and the health table. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The rumour, the distrust and not moralising. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they come, and not inflating workshop numbers. Estimate No 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

IS WORK OVER?

26%

#211 / 633

Last-mile manager

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
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

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