Automation index
How much of a Arborist’s job can AI already do?
A risk report comes earlier. Climbing, pruning and not dropping the tree on the roof do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Arborist
19%
AI can already do 19% of this job.
#486 / 643
View rankingArborist
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 |
|---|---|---|---|
Assess, risk and the owner’s report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Climb, prune and the anchor.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Controlled fell and the one over the cable.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Arisings, chipping and leaving it clean.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The neighbour, the permit and not entering their plot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not dropping it on the roof, and coming down whole.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- crown work
- climb
- controlled fell
- risk report
- anchors
- chipping
- cables
- felling permits
Sources for this job· O*NET 37-3013.00· ESCO/ISCO 6113
IS WORK OVER?
Hydraulic engineer
27%
#166 / 643
View rankingHydraulic engineer
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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142