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?
Statistician
26%
#206 / 643
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.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
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120