Automation index
How much of a Crane operator’s job can AI already do?
A lift plan comes earlier. Raising a beam and not hitting anyone does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Crane operator
16%
AI can already do 16% of this job.
#715 / 743
View rankingCrane operator
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 |
|---|---|---|---|
Lift plan, radii and weights.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Run the crane and place the load.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Signals, wind and exclusion zone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Site, foreman and maintenance.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Logs, inspections and machine tests.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Not leaving a load over someone.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 16% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Lift plan, radii and weights
- Run the crane and place the load
- Signals, wind and exclusion zone
- Site, foreman and maintenance
- Logs, inspections and machine tests
- Not leaving a load over someone
- gruista
- operador de grua
- crane operator
Sources for this job· O*NET 53-7021.00· ESCO/ISCO 8343
IS WORK OVER?
Reliability engineer
27%
#176 / 743
View rankingReliability 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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141