EXPOSED
The analytical core of this job — route and load optimization, carrier rate comparison, inventory and throughput reporting, dock scheduling, KPI dashboards — is exactly what TMS/WMS software plus AI already does better and faster than a human with a spreadsheet. What survives is the floor: standing in the warehouse when the conveyor jams, handling a driver shortage at 5am, negotiating with a carrier rep who is holding your freight, and owning DOT/OSHA compliance when an audit or an injury lands. The modal worker here is a warehouse or fleet operations manager at a distribution center, not a corporate supply-chain strategist, and their day is roughly half screen work that is automating and half physical crisis management that isn't.
Headcount grew steadily across the period.
Median pay $94,560 → $107,230 -9.3% 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
+6.1% 216,700 → 229,800 on the projections basis
Growing, and only partly exposed
The BLS expects +6.1% more of these jobs by 2034, and at 53/100 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.
~18,500 openings a year on average, including replacing people who leave.
DockmasterWharfingerTrainmasterWharfmasterArea ManagerTrain MasterFleet ManagerParts ManagerDriver ManagerImport ManagerStation MasterAirport ManagerStation ManagerStorage ManagerTraffic ManagerChief WharfingerContract ManagerDelivery ManagerDispatch ManagerMaterial PlannerShipping ManagerTerminal ManagerTraffic DirectorInventory Manager
Holding it up: judgment & accountability . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier Load planning, carrier rate shopping, dock appointment scheduling and daily throughput reporting are already native features of any modern TMS/WMS, which is why this sits at 11 rather than 15 — but the residue is real work: physically walking the dock to see why the outbound trailer is short-loaded, reassigning drivers when two call out at 5am, and standing in a rate call where the carrier knows your freight is already on their truck.
Some physical or field component You are on the warehouse floor and in the yard for a large share of the shift — walking the pick modules, climbing onto a trailer to inspect a shifted load, checking a reefer setpoint, doing yard checks and forklift-incident walkthroughs — which is more than the 5-8 of a supervisor who occasionally leaves the desk, but not the 15+ of the technician who actually repairs the conveyor drive you called out.
Certification preferred, not legally required No licence gates entry to this role, but you are the named responsible party on the DOT side — hours-of-service and driver qualification files, CDL and drug-testing compliance, hazmat placarding under 49 CFR, OSHA 1910.178 powered-truck certification — and FMCSA audits land on your desk, which is what lifts a no-credential job to 7.
Exists to be accountable for ambiguous calls When a trailer is short a driver, the customer's line will stop in six hours, and expediting costs eight times the contract rate, you make that call alone in minutes with no procedure covering it — likewise deciding whether a driver is fit to run, whether to hold a suspect lot, or whether to shut a dock door after a near-miss, and those decisions are what a post-incident investigation reads back to you.
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 (7/20) 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 30 of this occupation's 53 points (57%).
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.
Chief Executives SAFE
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 62/100, still EXPOSED.
FMCSA safety-management rules already require a named human for carrier safety compliance (DOT designated Safety Management/officer, drug-and-alcohol program administrator, hazmat security plan signatory). If FMCSA's ongoing Safety Fitness Determination rulemaking, or a state OSHA warehouse-quota standard (California AB 701, New York's Warehouse Worker Protection Act, Washington HB 1762) is extended to require a named accountable site manager to certify quota/injury-rate compliance and expose that individual to citation, the personal-liability floor rises materially.
Genuine two-tier structure: once TMS/WMS optimization, rate shopping and KPI reporting are fully automated, the residual role is exception handling, cross-carrier escalation, labor crises and audit defense — none of which are clean data tasks. Task_resistance rises as measured against the shrunken remaining job, not because AI got worse.
If AI takes the routing/scheduling tier, what is left is the call nobody wants to log: embargo a lane, refuse a load, shut a dock, pull a driver off duty. Insurers and post-crash litigation already ask who authorized dispatch of a fatigued driver or a nonconforming load — nuclear-verdict negligent-entrustment suits name the operations manager. Wider adoption of insurer conditions requiring documented human authorization for exception dispatch raises this.
The limit. Trust premium has no realistic route: buyers purchase freight capacity and fill rate, not a named human manager, and no shipper procurement process prices human oversight of a DC. Realistic ceiling is around low-to-mid 60s, driven almost entirely by DOT/OSHA personal liability and exception-decision accountability, not by any market preference for a human.
| Los Angeles-Long Beach-Anaheim, CA | 12,260 | $127,500 +19% |
| New York-Newark-Jersey City, NY-NJ | 10,410 | $133,640 +25% |
| Dallas-Fort Worth-Arlington, TX | 9,600 | $104,790 -2% |
| Chicago-Naperville-Elgin, IL-IN | 8,570 | $124,120 +16% |
| Houston-Pasadena-The Woodlands, TX | 7,840 | $105,420 -2% |
| Atlanta-Sandy Springs-Roswell, GA | 4,460 | $127,520 +19% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 4,270 | $121,570 +13% |
| San Francisco-Oakland-Fremont, CA | 3,750 | $145,170 +35% |
| San Jose-Sunnyvale-Santa Clara, CA | 1,760 | $177,400 +65% |
| Decatur, IL | 110 | $160,460 +50% |
| Seattle-Tacoma-Bellevue, WA | 1,690 | $146,080 +36% |
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 53. 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.