Automation index

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

A tensile curve comes earlier. Picking the alloy so it does not fail in service do not.

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

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#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

IS WORK OVER?

21%

#403 / 623

Aluminium carpenter

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
Measure, cutting list and the profile cut. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Assemble, squares and the frame in the opening. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Glass, beads and the one that does not seal. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Fittings, tilt-and-turn and the fine adjust. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dirty site and not scratching the anodising. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
A tight close, and not leaving water in. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		21%

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