EXPOSED
Production scheduling, throughput reporting, KPI dashboards, and inventory/materials planning are exactly what MES and planning software plus AI already do better than a human with a spreadsheet — that layer of the job is shrinking. What holds is the floor presence: walking the line when a machine goes down, deciding whether to run a marginal batch, handling a union grievance, owning a safety incident and a customer shipment miss. No license protects the role, so the moat is accountability and physical proximity to a messy plant, not regulation.
Dipped in 2020, then grew past where it started.
Median pay $105,480 → $126,060 -4.4% 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
+1.9% 241,900 → 246,500 on the projections basis
Growing, and only partly exposed
The BLS expects +1.9% more of these jobs by 2034, and at 52/100 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.
~17,100 openings a year on average, including replacing people who leave.
Plant ChiefFuel ManagerPlant ManagerFactory ManagerQuality ManagerSawmill ManagerAssembly ManagerMaterial PlannerPlant SupervisorQuality DirectorPlant Site LeaderSub Plant ManagerArea Plant ManagerBulk Plant ManagerGeneration ManagerIndustrial ManagerProduction ForemanProduction ManagerQuality SupervisorMaintenance ManagerMaterial CoordinatorPlant SuperintendentProduct Line ManagerValue Stream Manager
Holding it up: judgment & accountability . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier The scheduling, capacity planning, yield reporting and materials-requirement work that fills your mornings is already inside the MES and ERP, but no system reads a bearing that sounds wrong, negotiates with a supplier who missed a resin delivery, or reorganizes three shifts around a fired operator — that split of roughly half codified, half floor-improvised is what puts this at 12 rather than 7 or 16.
Some physical or field component You are on the plant floor daily — gemba walks, changeover observation, standing in the noise at the point a line stops — but you are also half in an office running production meetings and reviewing OEE, so this sits at 12 instead of the 16+ earned by the maintenance techs and operators you supervise who have hands inside the equipment.
No licence, no signature requirement There is no license, no board, no PE stamp behind the title; the plant's OSHA citations, EPA permit violations and FDA/USDA findings land on the corporation and sometimes the plant manager, and while OSHA 1910 and process-safety rules can put a supervisor in a criminal referral for a fatality, that exposure comes from your position rather than any credential that makes you legally irreplaceable — hence 4, not 0.
Exists to be accountable for ambiguous calls Release or hold a batch running at the edge of spec, run the line through a shift when a guard interlock is bypassed or shut it down and eat the delivery penalty, choose which order slips when a press dies Friday afternoon — these are unscripted, expensive, sometimes safety-critical calls you make in minutes and defend afterward, which is 15-level ownership short only of the 18+ where a signature carries personal legal weight.
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 (4/20) 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 (15/20) 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 28 of this occupation's 52 points (54%).
Embodiment (12/20) 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.
Construction Managers 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 68/100 — SAFE.
Insurer or customer-audit requirements that a named human management representative sign off: ISO 9001 and IATF 16949 already require a designated management representative, and automotive/aerospace customer audits (AS9100, PPAP approval) demand a human signature on process change and deviation authorizations. If OEM supplier agreements or property/casualty underwriters make AI-generated deviation approvals explicitly non-acceptable without countersignature, the signing role hardens.
Task-mix shift: as scheduling, MRP, and KPI reporting are absorbed by MES/APS and AI copilots, what remains is deviation authorization, marginal-batch and scrap calls, safety stand-downs, and grievance handling under an NLRA-covered contract. The residual role is almost entirely consequential calls under ambiguity, and the dimension rises without any new law.
Same two-tier shift raises the resistance of what is left: root-cause investigation on a novel failure, negotiating a recovery plan with a customer after a missed shipment, and reallocating a short-staffed crew mid-shift are not tasks current systems close. This is a composition effect, not a capability regression, and it is bounded — the tier is small.
Named-individual accountability rules that attach to plant management specifically: OSHA's process safety management (29 CFR 1910.119) and EPA RMP audits already require a designated responsible person for covered chemical processes, and FSMA's Preventive Controls rule requires a Preventive Controls Qualified Individual to sign HARPC plans at food plants. If FDA/USDA or a state extends PCQI-style named-signer duties to broader manufacturing categories, or if a post-incident prosecution under OSHA 17(e) / state manslaughter law lands on a named production manager (as in the Bumble Bee Foods 2015 case), the personally-liable signature becomes structural rather than incidental.
Formalized on-site presence requirements: union contracts (e.g. UAW and USW master agreements) that specify a bargaining-unit supervisor physically present per shift, or OSHA/MSHA rules requiring a competent person on site during covered operations. If contract language or a standard names a physically present manager for confined-space, lockout-tagout, or hot-work authorization, floor presence becomes contractual rather than customary.
The limit. trust_premium has no plausible route — buyers purchase parts to spec, not a human manager, and no customer pays a premium knowing a person rather than a system sequenced the line. Even with every lever above, the ceiling is roughly the high 60s: management layers thin as the coordination tier automates, and headcount per plant falls even where the remaining role gets harder to displace.
| Los Angeles-Long Beach-Anaheim, CA | 9,120 | $128,540 +2% |
| Chicago-Naperville-Elgin, IL-IN | 8,850 | $129,840 +3% |
| New York-Newark-Jersey City, NY-NJ | 7,220 | $151,630 +20% |
| Houston-Pasadena-The Woodlands, TX | 6,060 | $133,870 +6% |
| Detroit-Warren-Dearborn, MI | 5,950 | $126,200 +0% |
| Dallas-Fort Worth-Arlington, TX | 5,890 | $132,990 +5% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 3,910 | $126,160 +0% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 3,580 | $127,640 +1% |
| Manchester-Nashua, NH | 700 | $174,360 +38% |
| San Jose-Sunnyvale-Santa Clara, CA | 2,210 | $171,140 +36% |
| Lexington Park, MD | 60 | $167,040 +33% |
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 52. 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.