Automation index

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

Calcs and drawings speed up. Being on site, stamping, and owning ground that is not the model do not.

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

Task comparison

IS WORK OVER?

25%

AI can already do 25% of this job.

#231 / 623

Civil 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
Structural calcs and code checks. Estimate No public source provides a precise figure. This is our estimate.	22%	42%	+9.2
Drawings, quantities and cost estimate. Estimate No public source provides a precise figure. This is our estimate.	18%	38%	+6.8
Geotech and simplified impact reports. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Coordination with contractor, council and suppliers. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
Site execution and safety control. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Site authority and responsible signature. Estimate No public source provides a precise figure. This is our estimate.	12%	10%	+1.2
Total	100%		25%

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

IS WORK OVER?

27%

#162 / 623

Materials 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
Tests, metallography and the spec. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Shop, heat treatment and the part that fails spec. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Material choice, corrosion and fatigue. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Supplier, certificates and the doubtful batch. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The field failure and the root cause. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it does not fail, and not swapping the material blind. 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