EXPOSED
Much of the day-to-day — time-and-motion data crunching, throughput and capacity models, layout drafting, cost-benefit spreadsheets, work-instruction and SOP writing, Six Sigma report decks — is exactly the structured analysis and document work AI now does quickly. What holds is the part that happens on the plant floor: walking the line, seeing why the model's assumptions are wrong, negotiating a changed process with operators and supervisors who have to live with it, and owning the decision when a $2M line reconfiguration goes sideways. PE licensure exists for IEs but is rarely a legal requirement to practice, so the regulatory shield is thin compared to civil or electrical.
Headcount grew steadily across the period.
Median pay $88,020 → $102,440 -6.9% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
+11% 351,100 → 389,600 on the projections basis
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +11% more of these jobs by 2034. Demand for the output is growing faster than the work is being automated away — the mechanism BLS gives for software developers, and the combination people most often misread as an error.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~25,200 openings a year on average, including replacing people who leave.
EngineerErgonomistMetrologistFactory ExpertField EngineerPlant EngineerDesign EngineerFailure AnalystSystem EngineerFactory EngineerLiaison EngineerMethods EngineerProcess EngineerProject EngineerQuality EngineerSalvage EngineerEfficiency ExpertFacility EngineerProduction ExpertCognitive EngineerEfficiency AnalystEquipment EngineerInterface DesignerLogistics Engineer
Holding it up: judgment & accountability . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier At 10, roughly half the workweek — pulling MES/ERP data into throughput models, running discrete-event simulations, drafting value-stream maps and standard work sheets, building line-balance calculations — is already reproducible by tooling, while the other half (standing at a bottleneck station watching an operator's actual reach and cycle, discovering the routing file has been wrong for two years) still requires a person physically present to notice what no data set recorded.
Some physical or field component A 9 reflects that the plant, warehouse, or hospital floor is a real and recurring workplace — gemba walks, time studies with a stopwatch at the station, verifying machine clearances against the layout, commissioning a new cell — but you are not the one wrenching on the fixture or wiring the conveyor, and a large share of the job is done in a spreadsheet or simulation package at a desk.
Certification preferred, not legally required A 5, not 0, because PE licensure and the Industrial and Systems Engineering exam exist and matter for some defense, utility, and consulting work, and Six Sigma Black Belt or CQE certification is often written into the job posting — but no statute stops an unlicensed analyst from redesigning a production line, and the signature on a capital request is usually the plant manager's, not yours.
Meaningful discretion A 12 recognises that you choose which constraint to attack, which line to shut down for a rebuild, and whether the simulation's confidence interval is enough to commit capital — decisions with seven-figure and headcount consequences — but they are made inside a stage-gate process with a capital approval committee, operations management, and often EHS review above you, so the ambiguity is shared rather than owned outright.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (10/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (5/20) is whether the law requires a licensed human to sign. Trust premium (7/20) is whether buyers specifically pay for a person. Judgment and accountability (12/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 24 of this occupation's 43 points (56%).
Embodiment (9/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
Nuclear Engineers EXPOSED
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 60/100, still EXPOSED.
Task-mix shift is genuine here: the routine tier (time studies, capacity spreadsheets, SOP drafting, DMAIC decks) automates first, leaving the tier that requires being on the floor to detect why the model's assumptions are false and to negotiate a process change operators will actually follow. Recognisable if IE job postings shift toward continuous-improvement leadership, shopfloor change management, and automation commissioning rather than analysis deliverables.
State industrial-exemption rollback: if a state board narrows the industrial exemption in its Engineering Practice Act so that manufacturing facility layouts, guarding, and process safety documents must be sealed by a licensed PE (as several states have debated for utility and manufacturing plants), IE sign-off becomes personally liable rather than optional. Watch also OSHA PSM (29 CFR 1910.119) process hazard analysis and machine-guarding certifications being tied explicitly to a named licensed engineer, and insurer requirements: workers' comp and property carriers (FM Global, Travelers) conditioning coverage on a credentialed engineer certifying ergonomic/line-change assessments.
Capital-approval governance that names an accountable engineer: if corporate CapEx policies and audit requirements (SOX-adjacent internal controls over capital projects) require a named engineer of record to attest to throughput/ROI assumptions behind an automation or line-reconfiguration investment, the ambiguity call becomes formally owned. Similarly, if AI-model-governance rules (e.g., internal frameworks aligned to NIST AI RMF) require a human to sign as accountable for digital-twin and scheduling model outputs used in production decisions.
If IE scope absorbs commissioning and validation of robotic cells, AMRs, and cobot workcells — physically walking off clearances, verifying guarding and light curtains, running FAT/SAT on the floor — the role gains irreducible in-plant presence. Visible in aerospace/auto plants where IEs already own automation ramp-up and in pharma where installation/operational qualification (IQ/OQ under FDA 21 CFR 211) must be witnessed on site.
Narrow route only: union or works-council agreements that require a human engineer, not a vendor algorithm, to conduct and present time standards and ergonomic assessments — UAW-style contract language on work standards and line speed is the existing precedent. This is a bargaining-table premium, not a consumer one; it would not extend to internal corporate clients generally.
The limit. The binding constraint is that IEs mostly serve internal corporate clients who buy outcomes, not a signature or a person, and the industrial exemption keeps PE licensure optional in most states. Without an exemption rollback the liability shield stays thin, so realistic total ceiling is roughly the mid-50s — the floor is presence and ownership on the plant floor, not credential scarcity.
| Detroit-Warren-Dearborn, MI | 17,350 | $104,110 +2% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 13,970 | $104,730 +2% |
| Chicago-Naperville-Elgin, IL-IN | 12,750 | $101,760 -1% |
| Los Angeles-Long Beach-Anaheim, CA | 11,460 | $113,040 +10% |
| Dallas-Fort Worth-Arlington, TX | 10,680 | $105,640 +3% |
| Boston-Cambridge-Newton, MA-NH | 9,010 | $118,970 +16% |
| Houston-Pasadena-The Woodlands, TX | 8,620 | $111,690 +9% |
| New York-Newark-Jersey City, NY-NJ | 8,540 | $105,840 +3% |
| Anchorage, AK | 110 | $171,910 +68% |
| Charleston, WV | 160 | $143,860 +40% |
| Midland, TX | 320 | $141,120 +38% |
Automotive News reports Toyota executive Daisuke Toyoda saying the automaker is developing its own AI systems intended to support rather than replace factory and other workers.
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