Automation index

How much of a Process engineer’s job can AI already do?

A diagram and a balance come earlier. Stopping the plant and not overloading the reactor do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

26%

AI can already do 26% of this job.

#205 / 623

Process 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
P&IDs, balances and the operating procedure. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Plant, trials and the real bottleneck. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Capacity, yields and the improvement report. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Start-up, shutdown and the shift that skips the SOP. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Process safety and the HAZOP that hurts. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Not overloading the reactor, and signing the change. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		26%

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

IS WORK OVER?

27%

#162 / 623

Materials 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
Tests, metallography and the spec. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Shop, heat treatment and the part that fails spec. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Material choice, corrosion and fatigue. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Supplier, certificates and the doubtful batch. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The field failure and the root cause. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it does not fail, and not swapping the material blind. 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