Automation index
How much of a Paver’s job can AI already do?
A fall set-out comes earlier. Leaving a pavement that does not pond do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Paver
19%
AI can already do 19% of this job.
#536 / 643
View rankingPaver
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 |
|---|---|---|---|
Set-out, levels and layer thickness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Lay, compact and the edge that opens.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Joints, seals and the gully junction.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Plant, mix temperature and the cold day.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Traffic, the closure and not leaving a step.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
No ponding, and not skimping compaction.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- lay asphalt
- compact
- falls
- pavement joints
- gullies
- mix temperature
- pavement levels
- seals
Sources for this job· O*NET 47-2071.00· ESCO/ISCO 7112
IS WORK OVER?
Community health worker
24%
#261 / 643
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