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.
#477 / 633
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?
Prompt engineer
34%
#21 / 633
View rankingPrompt 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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512