EXPOSED
The paperwork half of this job — building schedules, reconciling registers, writing inventory and sales reports, drafting performance write-ups — is already being handled by workforce-management and replenishment software with AI layered on top, which is why corporate keeps widening spans of control. The half that survives is physically on the floor: covering call-outs, defusing an angry customer at the counter, catching a theft in progress, training a new hire on a Saturday rush. No license protects the role, so the real threat isn't replacement by a model but headcount compression — one supervisor covering what used to be two or three.
Roughly flat across the period, with year-to-year wobble.
Median pay $40,350 → $48,520 -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
-5%
Percentage only. The projection counts a different population from the 1,121,800 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Shrinking, but not obviously because of AI
The BLS projects -5% by 2034, but at 47/100 this work is only moderately exposed — not the profile of a job current AI can simply do. Occupations shrink for many reasons, and the score does not point at automation as this one's cause.
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.
~125,100 openings a year on average, including replacing people who leave.
Key HolderKey CarrierShop ManagerFloor ManagerParts ManagerShift ManagerStock ManagerStore ManagerBakery ManagerBranch ManagerFloral ManagerHourly ManagerRental ManagerRetail ManagerCashier ManagerFlorist ManagerGrocery ManagerStation ManagerFloor SupervisorPawn Shop KeeperSales SupervisorShift SupervisorShowroom ManagerStore Supervisor
Holding it up: embodiment . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier Half the shift is scheduling in Kronos/UKG, running end-of-day register reconciliation, pulling sell-through reports and cutting replenishment orders — all of which the system now proposes and a supervisor merely approves — while the other half (walking a new hire through a return override during a holiday rush, physically rebuilding a collapsed endcap, stepping into a register when someone no-shows) has no software substitute, which is what holds it at 11 rather than down in single digits.
Hands-on in uncontrolled environments The job is spent on the sales floor and in the stockroom, not at a desk: cycle counts, freight unloading, moving fixtures, walking the perimeter for concealment, standing at the counter during escalations — it lands at 13 rather than 17 because the environment is a climate-controlled store with fixed layouts, not a roof, a roadside, or a patient's home.
No licence, no signature requirement There is no license, no board, and no continuing-education requirement to run a sales floor; the only credential in the building is an alcohol- or tobacco-server permit and a food-handler card in some banners, and even those attach the citation to the corporate license holder, not to you — a 2 reflects those thin statutory hooks rather than none at all.
Meaningful discretion Real calls get made without a script — whether to detain or let a suspected shoplifter walk, when to send someone home for attendance, how much markdown authority to use to save a sale — but loss-prevention policy, the associate handbook, and district manager sign-off on terminations and large voids cap the discretion, which is why this is 11 and not the 15+ of someone who owns the outcome alone.
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 (2/20) is whether the law requires a licensed human to sign. Trust premium (10/20) 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 23 of this occupation's 47 points (49%).
Embodiment (13/20) 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.
Gambling Managers EXPOSED
Food Service Managers EXPOSED
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 64/100, still EXPOSED.
Task-mix shift: once scheduling, replenishment and register reconciliation are fully automated, what remains is the ambiguous-judgment tier — de-escalating customers, loss-prevention calls, coaching and firing decisions, ad-hoc coverage. This genuinely has two tiers, and the residual is unusually AI-hostile. Recognisable if job postings drop 'proficiency with WFM/reporting systems' and foreground conflict resolution and team development.
Predictive-scheduling and fair-workweek ordinances (Oregon statewide, NYC, San Francisco, Chicago, Philadelphia, Los Angeles) impose per-incident penalty pay for late schedule changes; if enforcement makes a named store-level manager the required approver of any deviation from the posted schedule, the supervisor owns a decision with direct dollar consequences. Watch for retailer policies requiring manager sign-off codes on every algorithmic schedule override.
Physical demands rise mechanically under headcount compression — one supervisor covering three departments does more floor movement, unloading and unscripted physical intervention. No policy change needed; recognisable in scheduled hours-on-floor ratios and injury rates.
Not a license, but a functional equivalent: state laws on shopkeeper's privilege and detention of suspected shoplifters, plus retailer insurer requirements after false-arrest and civil-rights suits, could formalize that only a designated trained manager may authorize a detention or a facial-recognition match-based stop. Rite Aid's 2023 FTC consent order barring automated facial recognition without human verification is the visible template; if the human verifier is specified as the on-duty supervisor of record, this rises.
Age-restricted sales: state alcohol, tobacco and cannabis boards already license individual sellers/servers (e.g. Washington MAST permits, cannabis manager badges in CO/CA). Extension of named-manager-on-premises requirements to more retail categories, or personal license suspension for a clerk sale made on an AI age-estimation check, would attach personal liability to the supervisor.
Narrow route only: in high-ticket or clienteling formats (jewelry, appliances, luxury, firearms, optical) where a named manager closes the sale or handles the escalation, and in union contracts (UFCW grocery) that bargain minimum staffing including supervisory coverage. Watch for staffing-ratio clauses in UFCW or RWDSU agreements. Does not extend to mass-market discount retail, where nothing plausible raises this.
The limit. Even with every lever, this likely tops out in the low 60s. The binding constraint is not AI capability but span-of-control economics: none of these levers stop one supervisor covering three departments, and the liability routes attach to a *designated* manager, which reduces how many are needed rather than protecting the count. Store closures and format shift to smaller-footprint and online fulfillment cut demand independently of any of this.
| New York-Newark-Jersey City, NY-NJ | 52,270 | $58,930 +21% |
| Los Angeles-Long Beach-Anaheim, CA | 36,580 | $51,390 +6% |
| Dallas-Fort Worth-Arlington, TX | 28,540 | $47,320 -2% |
| Chicago-Naperville-Elgin, IL-IN | 26,770 | $48,900 +1% |
| Houston-Pasadena-The Woodlands, TX | 22,730 | $46,970 -3% |
| Miami-Fort Lauderdale-West Palm Beach, FL | 22,220 | $50,250 +4% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 20,360 | $50,530 +4% |
| Atlanta-Sandy Springs-Roswell, GA | 20,200 | $48,300 +0% |
| Seattle-Tacoma-Bellevue, WA | 15,250 | $62,170 +28% |
| San Jose-Sunnyvale-Santa Clara, CA | 4,810 | $61,710 +27% |
| Boulder, CO | 1,590 | $60,530 +25% |
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