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?

27%

AI can already do 27% of this job.

#159 / 623

Automation engineer

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. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Panel, loops and the lying sensor. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
FAT, SAT and commissioning. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Recipes, batches and the product change. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The shift, the alarm and not bypassing the interlock. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it does not trip, and documenting the program. Estimate No 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

IS WORK OVER?

27%

#138 / 623

Category manager

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
Assortment, prices and the shelf. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Supplier, the negotiation and the one that will not list. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Promo, the calendar and the one that clashes. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Data, margin and not killing the category. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Own-label, the clash and not hiding it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That the category wins. Estimate No 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