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.
#490 / 633
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?
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