Automation index
How much of a Piling operator’s job can AI already do?
A pile plan comes earlier. Driving to level without cracking the neighbour do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Piling operator
19%
AI can already do 19% of this job.
#538 / 653
View rankingPiling 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 |
|---|---|---|---|
Set-out, level and each pile’s log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, bore and refusal.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Cage, pour and the tube that rides up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Vibration, the neighbour and stopping in time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Plant, access and the one that will not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
To level, and not cracking party walls.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drive piles
- bore
- cages
- refusal level
- site vibration
- pour piles
- piling set-out
- recoverable tubes
Sources for this job· O*NET 47-2073.00· ESCO/ISCO 7114
IS WORK OVER?
Clinical research associate
27%
#172 / 653
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.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
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131