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?

24%

#273 / 633

Internist

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
Cross labs, imaging and a differential. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Ward round, examination and decisions. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Explain to family and ceilings of care. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Discharge reports, consults and boards. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Medical on-call and difficult patients. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Team, residents and not fragmenting the patient. 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