Automation index

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

A frame model comes earlier. Signing that it takes wind and quake 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.

#204 / 633

Structural 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, combinations and the calculation annex. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Site, rebar and what was not poured that way. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Code, building regs and the sizing note. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Pathology, the crack and shore or not. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The architect, the deadline and not trimming the depth. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Sign that it stands, and not hiding the assumption. 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%

#138 / 633

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