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 / 633
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?
Oceanographer
22%
#357 / 633
View rankingOceanographer
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 |
|---|---|---|---|
Model, buoys and the cruise.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Sea, sampling and the one who misses the cast.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Data, the gap and not interpolating extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Report, the coast and the one who will not hear.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The storm, the ship and aborting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Read the water, and not trusting the model alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- current models
- buoys
- ocean cruises
- sampling
- interpolation
- the coast
- the storm
- casts
Sources for this job· O*NET 19-2042.00· ESCO/ISCO 2114