Automation index
How much of a Power-plant operator’s job can AI already do?
A dispatch comes earlier. Following the set-point without tripping the machine do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Power-plant operator
19%
AI can already do 19% of this job.
#527 / 643
View rankingPower-plant 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-point, parameters and the log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Room, alarms and the one that trips.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Start, stop and not skipping the SOP.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Maintenance, isolation and the permit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The peak, the grid and not forcing it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The set-point, and not tripping.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
- set-points
- control room
- plant SOP
- starts
- isolations
- alarms
- dispatch
- the grid
Sources for this job· O*NET 51-8013.00· ESCO/ISCO 3131
IS WORK OVER?
Logistics analyst
28%
#79 / 643
View rankingLogistics analyst
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 |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421