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 / 623

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%

#198 / 623

Web 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
Layout, components and API consumption. Estimate No public source provides a precise figure. This is our estimate.	20%	48%	+9.6
Accessibility, performance and technical SEO. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Design, product and the client who changes their mind. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Deploys, incidents and monitoring. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Tests, code review and documentation. Estimate No public source provides a precise figure. This is our estimate.	16%	16%	+2.6
Not shipping a half-change on a Friday. 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