COOKED
The job is compiling requisitions into purchase orders, checking prices against catalogs and contracts, matching invoices to POs and receipts, and chasing vendors on delivery dates — all structured document flow that ERP automation plus AI extraction already handles end to end. There is no license, no personal liability, and buyers do not pay a premium for a specific clerk's relationship; vendor negotiation and spend strategy sit with buyers and purchasing managers, not clerks. Some physical presence remains for receiving inspection and discrepancy resolution on the dock, which is the thin surviving edge.
Part 2020 shock, part continued decline in the years since.
Median pay $43,310 → $50,580 -6.6% 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
-8.7% 61,900 → 56,600 on the projections basis
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -8.7% by 2034. This is the case where the score and the forecast agree, and it is the one worth taking seriously.
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.
~4,600 openings a year on average, including replacing people who leave.
BuyerExpeditorPurchaserWarehouse ClerkPurchasing ClerkProcurement AgentProcurement ClerkDepartmental BuyerPurchasing AnalystSupply CoordinatorProcurement AnalystProcurement OfficerPurchasing AssistantPurchasing AssociatePurchasing ExpeditorProcurement AssistantPurchasing SpecialistProcurement SpecialistProcurement TechnicianPurchasing CoordinatorProcurement CoordinatorFilm Replacement OrdererProcurement RepresentativePurchasing Department Clerk
Holding it up: task resistance . Weakest point: liability shield .
Core tasks are already automatable Three-way match, requisition-to-PO conversion, and expediting overdue deliveries are exactly the workflows SAP Ariba, Coupa, and Oracle already ship as touchless processing, with OCR plus line-item extraction closing the last gap on non-catalog invoices — the 4 reflects that only chasing an unresponsive vendor by phone still needs a person.
Fully desk- and screen-based Walking to the dock to verify a short shipment or open a damaged carton is real physical work, but it is occasional and inside a controlled warehouse or office, and the 4 rather than 8 is because most receiving verification is now a scan against the ASN done by warehouse staff, not the clerk.
No licence, no signature requirement No state licence, no bonding requirement, and no signature authority — the clerk keys the PO, but the purchasing agent's or manager's delegated signing limit is what binds the organisation, so a mis-keyed price is a correctable error, not personal exposure.
Executes defined procedures on defined inputs The discretion is bounded: choose between two approved catalog vendors, decide whether a $40 freight variance is worth a debit memo, flag a price mismatch for the buyer — anything above a set dollar threshold or off-contract routes to approval, which is what keeps this at 4 instead of the 10 a buyer would earn.
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 (4/20 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 (1/20) is whether the law requires a licensed human to sign. Trust premium (4/20) is whether buyers specifically pay for a person. Judgment and accountability (4/20) 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 9 of this occupation's 17 points (53%).
Embodiment (4/20) 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 procurement clerks 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 32/100, still COOKED.
Supply-chain provenance regimes (UFLPA forced-labor certification, EU CSDDD/CBAM importer declarations, conflict-minerals attestations) attaching personal or named-officer attestation to individual purchase transactions, pushing a compliance-sign-off step into the clerk role.
Two-tier split is real: the routine tier (PO creation, three-way match) is already automated, leaving exception handling — disputed receipts, split shipments, substitute-part approval, vendor insolvency. If headcount collapses to the exception desk, the surviving role's day is mostly non-automatable ambiguity, raising task_resistance for the remaining jobs even as the count falls.
Federal contracting rules already require a warranted human Contracting Officer to sign; if FAR/DFARS or agency policy extended a named-human certification requirement down to purchase-order-level actions (e.g., a rule that AI-generated POs above micro-purchase threshold need a named government purchasing agent's certification of price reasonableness), clerks in federal/state/local buying offices gain a signature that cannot be automated. Watch DoD's Section 889/supply-chain provenance rules and state 'AI in procurement' bills (e.g., Texas, California) requiring a human of record for automated awards.
If the role absorbs supplier-risk triage — deciding when to reject an AI-recommended vendor on sanctions, cyber (CMMC), or counterfeit-part grounds — under an internal control policy naming the buyer-of-record, the call becomes consequential and owned rather than clerical.
Receiving-dock discrepancy work and counterfeit/quality inspection on incoming parts (aerospace, medical device) staying with the procurement function rather than moving to warehouse staff; AS9120 counterfeit-part inspection requirements make this a physical, judgment-laden step.
The limit. Even with every lever, this stays low. There is no license, no professional body, and no buyer who pays extra for a named clerk — trust_premium has no realistic route. The liability levers mostly transfer the signature to buyers and contracting officers (13-1023/13-1082), not to 43-3061; clerks would have to be retitled into those codes to hold it. Realistic ceiling is roughly 30-35, with far fewer people in the code.
| New York-Newark-Jersey City, NY-NJ | 3,110 | $58,050 +15% |
| Los Angeles-Long Beach-Anaheim, CA | 2,810 | $54,510 +8% |
| Chicago-Naperville-Elgin, IL-IN | 1,410 | $49,320 -2% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 1,000 | $52,700 +4% |
| Dallas-Fort Worth-Arlington, TX | 970 | $48,360 -4% |
| Phoenix-Mesa-Chandler, AZ | 910 | $47,970 -5% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 890 | $51,070 +1% |
| Seattle-Tacoma-Bellevue, WA | 860 | $53,610 +6% |
| Chambersburg, PA | 30 | $64,770 +28% |
| York-Hanover, PA | 170 | $64,770 +28% |
| Salinas, CA | 60 | $64,520 +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 17. 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.