Automation index
How much of a Demolition worker’s job can AI already do?
A demolition plan comes earlier. Bringing it down without taking the party wall or anyone do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Demolition worker
19%
AI can already do 19% of this job.
#528 / 643
View rankingDemolition worker
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 |
|---|---|---|---|
Plan, asbestos and prior removal.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Demolish, cut and the controlled push.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Party wall, shore and the neighbour who complains.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Waste, sorting and the tip.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Dust, water and not leaving the street a site.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not taking the party wall, and signing the takedown.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
- demolish
- remove asbestos
- shore party walls
- sort waste
- controlled cut
- demolition dust
- the tip
- controlled push
Sources for this job· O*NET 47-2061.00· ESCO/ISCO 7112
IS WORK OVER?
Prompt engineer
34%
#21 / 643
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