Automation index
How much of a Chimney sweep’s job can AI already do?
A inspection protocol comes earlier. Climbing, cleaning and not setting the soot on fire do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Chimney sweep
19%
AI can already do 19% of this job.
#499 / 643
View rankingChimney sweep
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 |
|---|---|---|---|
Inspection, camera and the flue report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Climb, sweep and the nest that blocks.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Tightness, draught and the one that will not draw.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Certificate, rules and the residents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The wet roof and not falling.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Clean for real, and not leaving loose soot.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
- sweep chimneys
- flue camera
- draught
- flue certificate
- nests
- roofs
- tightness
- soot
Sources for this job· O*NET 47-4071.00· ESCO/ISCO 7133
IS WORK OVER?
Last-mile manager
26%
#216 / 643
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo 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
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324