EXPOSED
Much of the day — literature review, composition screening, DFT/FEA setup, statistical analysis of characterization data, technical report and patent drafting — is exactly what generative models and ML property-prediction systems (GNoME, MatterGen-style tools) now do at usable quality, and screening thousands of candidate compositions is where AI is strongest. What survives is bench-side: preparing and mounting samples, running and interpreting SEM/TEM/XRD/DSC output on messy real specimens, diagnosing why a production batch failed, and owning the recommendation that a material is fit for a real part. No license gates the work and buyers rarely pay for the individual relationship, so the moat is embodiment plus accountability for expensive material decisions.
Mixed — a routine tier and a judgment tier. At 10, the split is real: composition screening, phase-diagram lookup, Arrhenius fits, and DSC/TGA curve deconvolution are already handed to ML surrogates and autoscript pipelines, while polishing and ion-milling a TEM lamella, deciding a XRD peak is texture rather than a second phase, and tracing a delamination back to a cure-cycle drift still need someone at the instrument — neither half dominates enough to push this to 7 or to 14.
Some physical or field component. 11 reflects that the fume hood, glovebox, furnace, and load frame are unavoidable — you mix slurries, sinter pellets, mount and etch cross-sections, and pull tensiles — but it is your own lab or a plant QA bay with known hazards and fixturing, not a refinery scaffold or a field failure site, which is what keeps it out of the 13+ band.
No licence, no signature requirement. 3 is right because nothing stops a chemistry PhD from specifying an alloy: there is no state licensure for materials scientists, and where a stamp is legally required — pressure vessels, structural members — a licensed PE or the ASME/AWS-certified inspector signs, not you, so ASM or NACE credentials read as resume weight rather than a legal gate.
Some relationship component. 7 covers the fact that a process engineer or supplier quality manager who has watched you call three failures correctly will route the fourth to you specifically, but the deliverable is a report, a spec revision, or a test certificate that any competent lab could reissue, and procurement will send the next coupon to whoever quotes fastest.
Meaningful discretion. 12 sits where it does because you decide whether a lot with borderline grain size ships, whether a substitution qualifies without full requalification, and whether a fractograph is fatigue or overload — calls with real cost and safety consequence — yet they are made inside ASTM/ISO test methods and a customer spec, and the release decision usually clears a design authority or quality board rather than resting on you alone.
Civil Engineers EXPOSED
Has AI actually changed your work?