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?
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