Automation index
How much of a Warehouse supervisor’s job can AI already do?
A dock dashboard comes earlier. Getting the shift out without mixing the goods do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Warehouse supervisor
24%
AI can already do 24% of this job.
#275 / 643
View rankingWarehouse supervisor
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 |
|---|---|---|---|
Docks, waves and the shift plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The team, the peak and the one who cannot keep up.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Stock, shrink and the mystery gap.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Safety, forklifts and the near miss.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The late haulier and not mixing the docks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Get the shift out, and not mixing the goods.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- plan docks
- waves
- warehouse shift
- shrink
- forklifts
- near misses
- outbound peaks
- mixed goods
Sources for this job· O*NET 53-1048.00· ESCO/ISCO 1324
IS WORK OVER?
Clinical research associate
27%
#172 / 643
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