EXPOSED
A large share of the median civil engineer's week is drawing production, load and hydraulic calculations, spec editing, permit packages, quantity takeoffs and report writing — all of which parametric tools plus AI are compressing fast. What does not compress is the PE stamp: a licensed human is legally required to seal structural, drainage and site designs and carries personal liability for public safety, and that person also walks the site, argues with the reviewing agency, and decides what to do when the geotech report contradicts the plan. Expect fewer hours billed per project and a widening gap between production-tier engineers and stamping/PM-tier engineers.
Dipped in 2020, then grew past where it started.
Median pay $87,060 → $100,840 -7.3% 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
+5% 368,900 → 387,500 on the projections basis
Growing, and only partly exposed
The BLS expects +5% more of these jobs by 2034, and at 63/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.
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.
~23,600 openings a year on average, including replacing people who leave.
EngineerBase EngineerCity EngineerRail EngineerRoad EngineerCivil EngineerWater EngineerBridge EngineerCounty EngineerDesign EngineerForest EngineerStreet EngineerStress EngineerZoning EngineerAirport EngineerAsphalt EngineerHighway EngineerMapping EngineerProcess EngineerProject EngineerRoadway DesignerRoadway EngineerTraffic EngineerUtility Engineer
Holding it up: liability shield . Weakest point: embodiment .
Mixed — a routine tier and a judgment tier Rebar schedules, culvert sizing to HDS-5, earthwork volumes off a TIN surface, and stormwater routing in HydroCAD are already scripted or near-scripted, but constructability review, utility conflict resolution with three franchise owners, and negotiating a variance with a municipal reviewer who wants the detention pond moved still eat weeks — that split is what puts it at 11 and not 6 or 15.
Some physical or field component Site visits, punch lists, pre-pour rebar inspection, and witnessing proof rolls or Proctor tests put boots in mud several times a month, but the design work happens in Civil 3D at a desk and the destructive testing is delegated to techs and CMT labs, so it lands at 9 rather than the 15+ of a field inspector.
Licensed human required and personally liable State engineering practice acts make sealing plans without a PE a misdemeanor in most jurisdictions, the stamp is personal rather than corporate, and the engineer of record remains named in construction-defect and drainage litigation for years after CO — 17 rather than 20 only because a large share of EIT-level production staff work under someone else's seal.
Exists to be accountable for ambiguous calls Choosing a bearing capacity when borings disagree, deciding whether a 30-year-old bridge stays open after a fracture-critical inspection, or accepting a contractor's value-engineering substitution are calls with no procedure behind them and injury or drowning on the wrong side — 16 rather than 19 because design codes (ACI 318, AASHTO LRFD, local drainage manuals) bound most decisions to a defensible range.
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 (11/20 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 (17/20) is whether the law requires a licensed human to sign. Trust premium (10/20) is whether buyers specifically pay for a person. Judgment and accountability (16/20) 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 43 of this occupation's 63 points (68%).
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.
No occupation passed every test: close enough to civil engineers on skills and subject matter, at least 10 points more resistant, no big jump in training, no new licence, no pay cut, and not shrinking on its own. That happens for 223 of the 654 occupations here that aren't SAFE, and it is worth stating plainly rather than leaving the section off.
The usual reason is that exposure travels with the skill profile. The jobs most similar to yours tend to be exposed for the same reasons yours is, so the near neighbours don't clear the gap — and the ones that do are a different kind of work, not a transfer of what you already know. Read that as a limit of this method, not a verdict that you're stuck: it only compares whole occupations, and it cannot see specialisation, industry, or anything you'd bring that isn't in a federal skill survey.
Here is that claim on your own job rather than in the abstract. These are the three occupations closest to this one by skill and subject matter — the places the work would most naturally transfer — with what the register scores them:
That is the whole problem in three lines. The nearest work is not meaningfully safer, so there is no move here that trades a similar skill set for a better verdict. This is not us running out of ideas — it is what the neighbourhood looks like.
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 72/100 — SAFE.
Task-mix shift: this occupation genuinely has two tiers. If sheet production, quantity takeoffs, spec editing and hydraulic runs are absorbed by parametric/AI tooling, the residual median job becomes constructability review, agency negotiation, RFI/change-order adjudication and reconciling contradictory geotech, survey and utility data — work that has no clean ground truth. Watch whether firms cut EIT/CAD headcount while PE headcount holds, i.e. the ratio of unlicensed to licensed staff in ENR Top 500 firms.
NCEES and state boards adopting an explicit rule that a PE may not seal work whose calculations were generated by an automated tool unless the engineer independently reproduces and documents the governing checks — plus removal of the 'industrial exemption' in states that still allow unsealed in-house engineering. NCEES model law revisions and state board disciplinary cases over AI-assisted sealing are the thing to watch; also professional liability carriers (e.g. Victor/Berkley A&E policies) adding AI-use exclusions that force named-engineer attestation.
Post-failure regime change: a high-casualty infrastructure failure attributed partly to unverified automated design (the Surfside and FIU bridge inquiries are the template) leading to mandatory independent peer review thresholds — e.g. Florida's threshold buildings review, or a federal requirement for third-party structural review on FHWA-funded bridges. This makes a named engineer the accountable decider on more projects, not fewer.
Construction-phase engineering-of-record duties expanded by code — special inspection and observation requirements under IBC Ch.17 tightened so the sealing engineer, not a technician, must personally observe critical placements (deep foundations, post-tensioning, shoring). Some state DOTs already require EOR site presence at specified hold points.
The limit. Trust premium has no plausible route: the buyers are public agencies and developers procuring on qualifications-based selection and fee, and none of them pays extra for human-drawn plans as such — they pay for a stamp, which is already counted under liability shield. Note also that the liability shield protects the licensed stamping tier only; the production-tier engineer who is not yet a PE gets no benefit from any of these levers, and the register's 63 is an average across a population that is splitting.
| Los Angeles-Long Beach-Anaheim, CA | 16,340 | $108,640 +8% |
| New York-Newark-Jersey City, NY-NJ | 15,590 | $107,330 +6% |
| Houston-Pasadena-The Woodlands, TX | 12,140 | $100,950 +0% |
| San Francisco-Oakland-Fremont, CA | 10,990 | $130,160 +29% |
| Chicago-Naperville-Elgin, IL-IN | 9,760 | $100,160 -1% |
| Denver-Aurora-Centennial, CO | 9,130 | $104,710 +4% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 8,470 | $101,780 +1% |
| Dallas-Fort Worth-Arlington, TX | 8,010 | $96,920 -4% |
| San Jose-Sunnyvale-Santa Clara, CA | 3,170 | $130,280 +29% |
| San Francisco-Oakland-Fremont, CA | 10,990 | $130,160 +29% |
| Sacramento-Roseville-Folsom, CA | 5,590 | $130,150 +29% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 63. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.