Automation index
How much of a Automation engineer’s job can AI already do?
A PLC and a SCADA come earlier. Leaving the plant in auto without it tripping do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Automation engineer
27%
AI can already do 27% of this job.
#159 / 623
View rankingAutomation 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 |
|---|---|---|---|
PLC, SCADA and the interlock.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Panel, loops and the lying sensor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
FAT, SAT and commissioning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Recipes, batches and the product change.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The shift, the alarm and not bypassing the interlock.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not trip, and documenting the program.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
- program PLCs
- SCADA
- interlocks
- control loops
- FAT SAT
- commissioning
- plant alarms
- automation panels
Sources for this job· O*NET 17-3024.00· ESCO/ISCO 2149
IS WORK OVER?
Logistics analyst
28%
#79 / 623
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