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?

21%

#434 / 623

Network technician

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
Diagrams, inventory and standard configs. Estimate No public source provides a precise figure. This is our estimate.	18%	38%	+6.8
Tickets, remote diagnosis and logs. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Pulling, racking, crimping and labelling. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Bring up links, VLANs and site Wi-Fi. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
On-call, outages and user care. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Vendors, civil work and access. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		21%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low