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 / 623

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?

24%

#257 / 623

Agile coach

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
Boards, metrics and the cadence design. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The real retro and the elephant in the room. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Train, unblock and the manager who will not let go. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Scale, dependencies and fake agile. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Conflict, power and not selling extra frameworks. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they stop faking it, and not inflating velocity. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		24%

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