EXPOSED
Roughly half this job is document work AI already handles well — cross-referencing OSHA/ANSI/NFPA clauses, drafting written safety programs and JHAs, compiling incident statistics, generating training materials, and producing compliance reports. The other half requires walking the plant floor to see the unguarded nip point nobody logged, interviewing workers after an amputation, and personally signing off that a machine guarding design or confined-space plan is adequate — with real liability if it isn't. Judgment under ambiguity (is this risk acceptable, do we shut the line down) is the durable core.
Part 2020 shock, part continued decline in the years since.
Median pay $91,410 → $115,160 +0.8% 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
+4.4% 23,800 → 24,900 on the projections basis
Growing, and only partly exposed
The BLS expects +4.4% more of these jobs by 2034, and at 57/100 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.
~1,500 openings a year on average, including replacing people who leave.
EngineerSafety TesterSafety EngineerPlumbing DesignerPlumbing EngineerSafety ConsultantSecurity EngineerProduct ConsultantRegulatory AnalystSafety CoordinatorConsulting EngineerIndustry ConsultantSafety ProfessionalFire Safety EngineerIndustrial HygienistPlant Safety EngineerProduct Safety ExpertProduct Safety TesterSafety RepresentativeProduct Safety OfficerSystem Safety EngineerLeak Detection EngineerProcess Safety EngineerProduct Safety Assessor
Holding it up: judgment & accountability . Weakest point: trust premium .
Mixed — a routine tier and a judgment tier Hazard analyses, OSHA 300 log compilation, exposure-monitoring writeups and PPE hazard assessments are template-driven enough for a model to draft, but the walkthrough that finds an ungrounded panel or a modified guard that was never redlined, and the machine-specific risk assessment negotiated with the maintenance lead, still need a person on site — hence 12 rather than the 6 of a pure reporting role or the 16 of an inspector who is never at a desk.
Some physical or field component You spend real time on the floor with a sound level meter, doing lockout/tagout verification, fit-testing respirators and climbing to check fall-arrest anchorages, but most weeks the majority of hours go to program documents, design reviews and CAD/spec markups in an office — that split puts it at 11 rather than the 15+ of a field inspector living in refineries and trenches.
Licensed human required and personally liable Many of these roles run on CSP/ASP certification rather than a state licence, but where you stamp a guarding design, a confined-space entry procedure or a ventilation calculation as a PE, your seal is personally attached and OSHA citations plus tort discovery land on it — 11 reflects that the licensed-and-liable version is common but not universal.
Exists to be accountable for ambiguous calls Deciding a residual risk is acceptable, calling a line down mid-shift, ruling a fatality's root cause as procedural versus design, and choosing engineering controls over administrative ones are calls made with incomplete data where being wrong kills someone and shows up in litigation — 14 places it at the entry of the top band because standards like ANSI B11 and NFPA 70E still bound the decision space.
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 (12/20 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 (11/20) is whether the law requires a licensed human to sign. Trust premium (9/20) is whether buyers specifically pay for a person. Judgment and accountability (14/20) 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 34 of this occupation's 57 points (60%).
Embodiment (11/20) 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.
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 71/100 — SAFE.
Genuine two-tier job: if clause cross-referencing, JHA drafting, incident statistics and training-material generation are absorbed by tools, the residual day is field hazard recognition, post-injury worker interviews, and risk-acceptance decisions — which raises the resistance score of what remains even with no regulatory change. Watch for employers cutting safety-engineer headcount while retitling survivors toward incident investigation and management-of-change review.
State PE licensure enforcement extended to safety engineering deliverables: an ABET/NCEES-recognized Safety Engineering PE stamp (the NCEES PE Industrial & Systems / safety exam already exists) made mandatory by state rule or by OSHA-referenced consensus standard for machine guarding designs, confined-space entry plans, fall-protection anchorage certification (already required to be certified by a 'qualified person' under 1926.502) and Process Safety Management mechanical-integrity sign-offs. If OSHA's PSM rulemaking or an ASSP/ASME standard revision names a licensed individual as the signer with personal liability rather than 'a qualified person' designated by the employer, this rises materially.
Post-incident enforcement trend where OSHA/DOJ pursues named individual safety professionals rather than only the corporate entity — as in willful-violation criminal referrals and the UK's growing use of individual gross-negligence-manslaughter charges under the Corporate Manslaughter framework. If US case law or a state OSH plan establishes that the safety engineer who accepted a residual risk is personally the accountable decision-maker, the shutdown/accept-risk call becomes explicitly non-delegable to a model.
Insurer-driven field verification: if workers' comp carriers and excess-liability underwriters condition premium credits on documented in-person walkthrough frequency by a named engineer (some carriers already require on-site loss-control visits), the plant-floor share of the job is contractually protected rather than optional.
The limit. Trust premium has no plausible route: the buyer is a corporate EHS budget purchasing compliance defensibility, not a human relationship, and it will accept whatever artifact survives an OSHA inspection or a deposition. Everything durable here routes through liability and licensure, not preference.
| Houston-Pasadena-The Woodlands, TX | 1,400 | $130,280 +13% |
| New York-Newark-Jersey City, NY-NJ | 1,240 | $111,380 -3% |
| Dallas-Fort Worth-Arlington, TX | 1,190 | $127,540 +11% |
| Los Angeles-Long Beach-Anaheim, CA | 850 | $131,540 +14% |
| Boston-Cambridge-Newton, MA-NH | 490 | $128,600 +12% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 420 | $125,760 +9% |
| Detroit-Warren-Dearborn, MI | 390 | $108,500 -6% |
| San Francisco-Oakland-Fremont, CA | 350 | $147,220 +28% |
| Manchester-Nashua, NH | 40 | $152,360 +32% |
| Kennewick-Richland, WA | 100 | $149,740 +30% |
| San Francisco-Oakland-Fremont, CA | 350 | $147,220 +28% |
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 57. 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.