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?
Last-mile manager
26%
#211 / 623
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324