COOKED
The core of this job — booking shipments, preparing bills of lading and customs paperwork, comparing carrier rates, tracking loads, and emailing status updates — is exactly the structured text-and-screen work that TMS platforms plus AI already handle end to end. What resists automation is the exception layer: a truck breaks down, a container is held at the port, a shipper needs a load re-routed tonight, and someone physically walks the dock to verify a discrepancy. That layer is real but thin, and it employs far fewer people than the booking-and-paperwork layer it sits on top of.
Roughly flat across the period, with year-to-year wobble.
Median pay $43,740 → $52,260 -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
+8.5% 100,600 → 109,200 on the projections basis
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +8.5% 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.
~8,800 openings a year on average, including replacing people who leave.
ReceiverCargo AgentRoute AgentRoute ClerkShip BrokerCargo RouterExport ClerkImport AgentLoad PlannerTruck DriverFreight AgentFreight ClerkFreight BookerFreight BrokerFreight RouterShipping AgentAir Cargo AgentFreight AnalystLogistics ClerkAir Export AgentAir Export ClerkFreight ReceiverOperations ClerkRoute Specialist
Holding it up: judgment & accountability . Weakest point: liability shield .
Core tasks are already automatable Rate-shopping across carriers, keying bills of lading and air waybills, filing ISF and AES entries, and sending tracking updates are all structured-field transactions that TMS and customs software already auto-populate from EDI feeds — the score sits at 6 rather than lower only because exception handling (rolled bookings, chassis shortages, hazmat paperwork rejections) still routes to a human phone call.
Some physical or field component Most of the shift is a desk, two monitors and a headset, but freight agents at terminals and forwarders do walk the dock or warehouse to count pieces, check seal numbers, weigh and measure pallets for dim-weight disputes, and photograph damaged cartons — occasional and on-site, which is why this is 6 and not 2, and nowhere near the driver or longshore work it sits next to.
No licence, no signature requirement No licence is required to book freight; the customs broker's licence, the carrier's operating authority, and the NVOCC's FMC bond sit with other parties, so a misdeclared commodity or late ISF filing becomes the broker's or shipper's penalty exposure, not the agent's — the 3 reflects that some employers prefer IATA dangerous-goods certification without it being a legal gate.
Meaningful discretion Real calls get made — reroute an at-risk load, split a shipment, choose which of three delayed containers gets the expedited drayage — but they run inside published tariffs, service-level agreements and a supervisor's approval threshold for anything expensive, which puts this at the low end of genuine discretion rather than up with the people who own the P&L on the lane.
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 (6/20 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 (3/20) is whether the law requires a licensed human to sign. Trust premium (6/20) is whether buyers specifically pay for a person. Judgment and accountability (7/20) 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 16 of this occupation's 28 points (57%).
Embodiment (6/20) 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 48/100 — EXPOSED.
Enforcement of existing 49 CFR 172.704 / IATA DGR rules that a trained, named human must sign the Shipper's Declaration for Dangerous Goods — extended by carrier or insurer requirement to any AI-generated hazmat documentation. Airline dangerous-goods acceptance checklists already refuse machine-only declarations; a formal IATA DGR amendment stating a certified signatory must attest personally would harden it.
Task-mix shift: this occupation has a genuine two-tier structure (booking/paperwork vs. exception resolution, tariff classification disputes, capacity crisis negotiation). If the routine tier is fully absorbed, the residual measured job is the exception tier — but this raises the score of the remaining seats while sharply reducing their number.
CBP tightening 19 CFR 111.28 'responsible supervision and control' to specify that AI-prepared entry summaries and HTS classifications must be reviewed and personally signed by a licensed customs broker, with a named individual (not the corporate permit) on the filing. CBP's post-2022 broker modernization rulemaking already moved toward individual accountability and away from district permits; a follow-on rule or penalty case naming an individual broker for machine-generated misclassification would be the visible marker.
UFLPA and sanctions-screening exposure making the human agent the accountable owner of admissibility calls: deciding whether a supplier trace is adequate, whether a load is diverted, whether a shipment is refused. If CBP detention volumes or OFAC penalties against forwarders keep rising and firms designate a named compliance signer per file, the surviving role owns consequential ambiguous calls rather than routing them.
Narrow route only: project/heavy-lift, breakbulk, and time-critical pharma or AOG cargo, where shippers contractually name an individual account handler with 24/7 reachability. Visible marker would be RFP language requiring a named human coordinator rather than a portal SLA.
The limit. Even with the broker-licensing and hazmat levers fully realized, most of the 97,670 seats are non-licensed booking and tracking roles that no lever touches; the shields protect a licensed minority, so the occupation-level ceiling is roughly the mid-40s and comes with substantial headcount loss.
| Los Angeles-Long Beach-Anaheim, CA | 10,490 | $59,010 +13% |
| New York-Newark-Jersey City, NY-NJ | 7,820 | $60,590 +16% |
| Chicago-Naperville-Elgin, IL-IN | 5,630 | $59,850 +15% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 4,620 | $48,150 -8% |
| Atlanta-Sandy Springs-Roswell, GA | 2,680 | $58,750 +12% |
| Dallas-Fort Worth-Arlington, TX | 2,570 | $48,690 -7% |
| Houston-Pasadena-The Woodlands, TX | 2,140 | $50,220 -4% |
| Riverside-San Bernardino-Ontario, CA | 1,960 | $46,880 -10% |
| Lake Charles, LA | 30 | $68,080 +30% |
| Tulsa, OK | 130 | $67,140 +28% |
| Rapid City, SD | 30 | $65,440 +25% |
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 28. 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.