EXPOSED
Roughly half this job — prospect lists, cold outreach emails, quote generation, catalog lookups, order entry, CRM notes, follow-up sequences — is already being absorbed by AI and e-procurement portals, which is why transactional order-taking headcount has been shrinking for a decade. What holds is the part buyers actually pay for: showing up at the distributor or store, reading a purchasing manager's mood, negotiating terms and rebates, and being the person who owns it when a shipment goes wrong. Score reflects the modal territory rep selling food, apparel, or industrial consumables, not the elite national-accounts closer.
This fall is concentrated in 2020 and has not recovered since.
Median pay $59,930 → $72,080 -3.8% 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
+0.3% 1,310,500 → 1,314,900 on the projections basis
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +0.3% 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.
~114,800 openings a year on average, including replacing people who leave.
ExporterImporterSalesmanConsigneeDistributorSalespersonMetal DealerScrap DealerWool MerchantDiamond BrokerFreight BrokerTextile BrokerOil DistributorPulpwood DealerTobacco DrummerBulk Plant AgentDiamond MerchantSales ConsultantSales NegotiatorSales SpecialistTurf SalespersonSales CoordinatorSales Team MemberAccount Specialist
Holding it up: trust premium . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier Prospecting, quoting, order entry and follow-up cadences — the bulk of a territory rep's week on paper — are already automated by CRM sequencing and buyer self-service portals, but the in-person planogram walk, the rebate negotiation, and the recovery conversation after a short shipment still require a person in the room, which lands this at 10 rather than the 5 a pure inside-sales order desk would get.
Some physical or field component You drive a territory, walk warehouse floors and store backrooms, carry sample cases, check shelf facings and expiry dates, and occasionally help reset a display — real physical presence in uncontrolled sites, but it is travel and observation rather than the tool-in-hand work that would push past 12.
No licence, no signature requirement No state licence, no exam, no continuing education stands between anyone and this job; the manufacturer's contract terms and the credit department carry the legal exposure, and a rep who oversells capacity gets a quota conversation, not a regulatory one.
Meaningful discretion You decide which SKUs to push into a limited shelf allocation, where to spend deal money, when to walk from a low-margin demand, and how much to promise on a tight delivery window — real discretion inside a price list, approval matrix and quota structure that someone else set.
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 (10/20 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 (13/20) is whether buyers specifically pay for a person. Judgment and accountability (10/20) 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 25 of this occupation's 43 points (58%).
Embodiment (8/20) 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 sales representatives, wholesale and manufacturing, except technical and scientific products 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 58/100, still EXPOSED.
Task-mix shift is genuinely available here: once quoting, order entry, CRM logging and follow-up sequences are fully absorbed by e-procurement portals and AI SDR tools, the surviving headcount is the tier that does in-person category reviews, planogram/shelf negotiation, rebate and deduction disputes, and new-item launch sell-in. Watch for distributor job postings that drop 'order entry' and 'quote prep' from the duty list while adding 'trade spend management' and 'joint business planning' — the residual role scores higher even though the occupation shed workers.
Retail-execution work migrating into the rep role: if grocery, c-store and hardware chains keep pushing reset, planogram compliance, display build and short-code/damaged-goods handling onto the DSD rep instead of dedicated merchandisers (already visible in DSD beverage and snack contracts), the day contains more unstructured in-store physical work.
Buyer-side procurement policy that requires a named human account owner reachable for allocation, recall and chargeback disputes — e.g. large grocery or foodservice group supplier agreements specifying a dedicated rep and escalation contact, or GPO contracts penalizing portal-only service. Post-2021 shortage experience made buyers explicitly pay for a person who can get product allocated.
Reps given real authority over trade spend and terms rather than routing to pricing desks — discretionary rebate, deduction settlement and allocation decisions inside a delegated dollar limit. If AI pricing engines instead centralize this into revenue-management teams, this falls instead; the lever is which side wins the authority fight.
Narrow route only, and it does not apply to most of this occupation: reps selling regulated goods (alcohol wholesale under state ABC solicitor permits, pesticides under state applicator/dealer-agent licensing, tobacco, food safety attestation under FSMA 204 traceability) sit behind a personal permit that can be revoked. Broader FSMA 204 recordkeeping enforcement putting a named human on traceability attestations would extend it modestly.
The limit. Even with every lever, this caps in the mid-50s. There is no licensure covering the modal food/apparel/consumables rep and no plausible route to one; the trust premium belongs to the relationship, not the occupation, so it transfers to whoever holds the account and does not protect headcount. The dominant force is buyer-side procurement automation, which shrinks the number of these jobs regardless of how the survivors score.
| New York-Newark-Jersey City, NY-NJ | 61,860 | $81,140 +13% |
| Los Angeles-Long Beach-Anaheim, CA | 54,950 | $74,490 +3% |
| Chicago-Naperville-Elgin, IL-IN | 38,490 | $75,350 +5% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 30,740 | $62,400 -13% |
| Dallas-Fort Worth-Arlington, TX | 29,100 | $64,940 -10% |
| Atlanta-Sandy Springs-Roswell, GA | 27,650 | $64,990 -10% |
| Houston-Pasadena-The Woodlands, TX | 25,630 | $73,030 +1% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 21,560 | $78,470 +9% |
| Lawton, OK | 320 | $124,340 +73% |
| San Jose-Sunnyvale-Santa Clara, CA | 6,530 | $103,670 +44% |
| Napa, CA | 790 | $100,460 +39% |
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 43. 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.