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?
Data engineer
31%
#36 / 633
View rankingData 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 pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511