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.
#518 / 633
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?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514