Automation index

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

Simulating a line and drafting a procedure can already be farmed out. Planting it into real shifts cannot.

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

Task comparison

IS WORK OVER?

28%

AI can already do 28% of this job.

#102 / 623

Industrial 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
Model processes, balances and a first plant layout. Estimate No public source provides a precise figure. This is our estimate.	22%	45%	+9.9
Draft procedures, PFDs and operating instructions. Estimate No public source provides a precise figure. This is our estimate.	18%	40%	+7.2
Analyse cost, bottlenecks and OEE from data. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Coordinate suppliers, maintenance and production. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Commissioning and plant trials. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Capex calls and industrial-safety liability. Estimate No public source provides a precise figure. This is our estimate.	12%	10%	+1.2
Total	100%		28%

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