EXPOSED
The bulk of the modal purchasing agent's day — issuing POs, comparing quotes, chasing delivery dates, maintaining vendor records, running spend and price-variance reports — is structured screen work that procurement software plus AI already handles, and e-procurement platforms have been eating this tier for two decades before LLMs arrived. What persists is supplier negotiation with real leverage, qualifying new sources under quality and geopolitical risk, resolving supply disruptions, and owning the make-or-buy and total-cost call. There is no license or signature requirement here, so nothing protects the transactional tier; the occupation consolidates into fewer, more strategic category managers.
Headcount grew steadily across the period.
Median pay $64,380 → $77,710 -3.4% 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
+5.8% 522,200 → 552,300 on the projections basis
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +5.8% 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.
~52,200 openings a year on average, including replacing people who leave.
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Holding it up: judgment & accountability . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier Requisition-to-PO conversion, three-bid comparisons, expediting calls, and reorder-point maintenance are already executed by Coupa/SAP Ariba workflows and RPA, which pulls the score down to 8; what holds it above the automatable band is the non-scriptable work — sitting across from a sole-source supplier during an allocation shortage, auditing a new contract manufacturer's tooling capability, or deciding whether to qualify a second source in a different country.
Some physical or field component A 5 reflects the occasional plant walk, trade show, supplier site audit, and receiving-dock inspection of a rejected lot — real but episodic, since the requisition queue, ERP, and the negotiation call all happen at a desk.
No licence, no signature requirement No state licenses buyers; CPSM and CPSD are resume items, not practice requirements, and the purchase order binds the employer under agency law with the company — not the agent's personal signature — answering for a bad contract, which leaves the score at 2 rather than 0 only because government buyers work under FAR/state procurement codes with audit and debarment consequences.
Meaningful discretion Make-or-buy calls, dual-sourcing decisions, and accepting a deviation on incoming material carry real dollars and schedule risk, which puts this at 11; it stops short of the top band because approval thresholds, engineering-specified specs, and management sign-off on capital and long-term agreements mean the buyer recommends and executes far more often than they unilaterally own the ambiguous call.
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 (8/20 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 (2/20) is whether the law requires a licensed human to sign. Trust premium (8/20) is whether buyers specifically pay for a person. Judgment and accountability (11/20) 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 21 of this occupation's 34 points (62%).
Embodiment (5/20) 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 buyers and purchasing agents 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.
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 51/100, still EXPOSED.
Genuine two-tier occupation: if PO issuance, three-bid comparison, expediting and spend reporting are fully absorbed by e-procurement autonomy, the residual role is negotiation with real leverage, new-source qualification under geopolitical risk, and make-or-buy — the ratio shifts even with no capability change. Watch headcount-per-spend ratios and title migration to 'category manager'.
Government contracting rules already require a warranted contracting officer with personal certification authority (FAR 1.602); extension of certified-buyer warrant schemes into regulated private sectors — e.g. FDA/ISO 13485 medical-device supplier qualification requiring a named individual's approval signature on supplier change control, or NRC/aerospace AS9100 counterfeit-parts sign-off (AS5553)
Tariff, sanctions and export-control volatility (Section 301/232 actions, entity-list additions) making country-of-origin resourcing decisions consequential and contested, with the buyer owning the call that a board or customs audit later reviews
Supply-chain due-diligence law that names an accountable human signer: the EU Forced Labour Regulation and CSDDD, Germany's LkSG, and the Uyghur Forced Labor Prevention Act already require documented supplier due diligence, and UFLPA detention responses are signed attestations. If enforcement matures into a requirement that a named procurement officer personally attest to origin-tracing and forced-labour screening for each qualified supplier (as some defense DFARS 252.225 domestic-source and Section 889 telecom certifications already do at the officer level), the sign-off tier becomes non-delegable.
Insurer or customer requirement for physical on-site supplier audits and first-article inspection before qualification — already standard in aerospace and medical device, would extend if counterfeit-part or forced-labour liability rises
The limit. No realistic route to a higher trust premium: buyers are cost centers whose counterparties are other businesses, and no purchaser of procurement services pays extra for a human doing the buying. Even with all levers, the transactional tier is unprotected and headcount consolidation proceeds regardless of what the surviving role scores.
| New York-Newark-Jersey City, NY-NJ | 29,360 | $83,350 +7% |
| Los Angeles-Long Beach-Anaheim, CA | 18,270 | $82,500 +6% |
| Chicago-Naperville-Elgin, IL-IN | 14,260 | $78,510 +1% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 14,240 | $104,880 +35% |
| Dallas-Fort Worth-Arlington, TX | 14,160 | $79,420 +2% |
| Houston-Pasadena-The Woodlands, TX | 10,880 | $76,290 -2% |
| Atlanta-Sandy Springs-Roswell, GA | 10,450 | $75,140 -3% |
| Boston-Cambridge-Newton, MA-NH | 10,090 | $93,010 +20% |
| Lexington Park, MD | 730 | $111,530 +44% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 14,240 | $104,880 +35% |
| San Jose-Sunnyvale-Santa Clara, CA | 3,380 | $101,500 +31% |
Business Insider reports that Michelin-starred restaurant Matthias uses agentic AI to assist its head chef in sourcing rare ingredients.
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