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.
#270 / 623
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?
Nursing assistant
23%
#289 / 623
View rankingNursing assistant
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 |
|---|---|---|---|
Answer patient call signals, signal lights, bells, or intercom systems to determine patients' needs.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 12% | +0.8 |
Turn or reposition bedridden patients.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 12% | +0.7 |
Provide physical support to assist patients to perform daily living activities, such as getting out of bed, bathing, dressing, using the toilet, standing, walking, or exercising.EstimateNo public source provides a precise figure. This is our estimate. | 5% | 12% | +0.6 |
Communicate with patients to ascertain feelings or need for assistance or social and emotional support.EstimateNo public source provides a precise figure. This is our estimate. | 4% | 12% | +0.5 |
Feed patients or assist patients to eat or drink.EstimateNo public source provides a precise figure. This is our estimate. | 4% | 12% | +0.5 |
Measure and record food and liquid intake or urinary and fecal output, reporting changes to medical or nursing staff.EstimateNo public source provides a precise figure. This is our estimate. | 4% | 12% | +0.5 |
Supply, collect, or empty bedpans.EstimateNo public source provides a precise figure. This is our estimate. | 4% | 28% | +1.1 |
Lift or assist others to lift patients to move them on or off beds, examination tables, surgical tables, or stretchers.EstimateNo public source provides a precise figure. This is our estimate. | 4% | 12% | +0.5 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 62% | 28% | +17.4 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- care for patients
- diagnose
- nursing care
- clinical notes
- design interfaces
- prototypes
- figma
- hygiene in a health care setting
- health care legislation
- disability care
Sources for this job· O*NET 31-1131.00· ESCO/ISCO 5321