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.

#312 / 773

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?

22%

#388 / 773

Embedded developer

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
Firmware, the peripheral and the buffer. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Field, the hang and the log that is not there. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Watchdog, the reset and not leaving it blind. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Draw, the battery and not sleeping it wrong. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Hardware, the revision and not fighting the pin. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That it does not hang, and not leaving the watchdog blind. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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