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?

26%

#211 / 633

Last-mile 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
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

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