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?
Economist
30%
#49 / 643
View rankingEconomist
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 |
|---|---|---|---|
Clean data, estimate and produce tables.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 52% | +11.4 |
Draft notes, briefs and a first paper.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Choose model, assumptions and robustness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present to a client, ministry or board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Debate, peer-review and defend the numbers.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Read the political context and data quality.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 30% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Clean data, estimate and produce tables
- Draft notes, briefs and a first paper
- Choose model, assumptions and robustness
- Present to a client, ministry or board
- Debate, peer-review and defend the numbers
- economista
- economist
Sources for this job· O*NET 19-3011.00· ESCO/ISCO 2631