EXPOSED
The paperwork half of this job — vendor bid comparisons, budget tracking spreadsheets, records-retention policies, procurement documentation, space-utilization reports — is exactly what current AI drafts at usable quality, and the layers of coordination work that justified headcount thin out when software handles scheduling and reporting. What holds is the facilities-and-people half: walking the building, handling a burst pipe or a failed HVAC unit, negotiating with contractors on site, and personally owning whether the office actually functions. The modal worker here splits between an office/records manager (more exposed) and a facilities manager (more protected by physical presence).
Headcount grew steadily across the period.
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.
BLS projection, 2024–2034
+4.6% 271,200 → 283,800 on the projections basis
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +4.6% 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.
~23,200 openings a year on average, including replacing people who leave.
AdministratorBusiness ManagerService DirectorBusiness CoordinatorBusiness Unit ManagerAdministrative ManagerAdministrative OfficerBusiness AdministratorAdministration DirectorAdministrative DirectorBusiness Office ManagerBusiness Office DirectorOperations AdministratorAdministrative CoordinatorRecords Management DirectorAdministrative Services ManagerRecords and Information Manager
Holding it up: judgment & accountability . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier At 9, roughly half your week — RFP scoring matrices, mail and records-retention schedules, supply reorder points, monthly occupancy and cost-per-square-foot reports, meeting and travel coordination — is template work AI already produces, while the other half (a vendor who missed SLA twice, a move-add-change for 40 desks, a fire-marshal walkthrough finding) still needs someone physically accountable, which is why this sits mid-band rather than at 5.
Some physical or field component 9 reflects that you are in the building, not in it full-time: you walk punch lists, meet the elevator inspector, check that the badge reader on the loading dock works, and get the after-hours call when a sprinkler head goes — but you dispatch the tradespeople rather than crawl into the ceiling yourself, and the records-manager half of this SOC barely leaves a desk.
No licence, no signature requirement A 2 is honest: no state licenses administrative services managers, CFM and FMP are résumé assets nobody demands, and when a lease is signed or an OSHA citation lands it is the officer, the general counsel, or the licensed contractor whose name carries the exposure, not yours.
Meaningful discretion 11 covers the calls you actually make alone: whether to renew a janitorial contract or rebid, whether a flooded floor gets closed for the day, how to allocate space when two departments both grew — real discretion inside a budget and a policy manual you did not write, and escalating to the CFO once the number gets large.
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 (9/20 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 39 points (54%).
Embodiment (9/20) 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.
General and Operations 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 55/100, still EXPOSED.
Task-mix shift is genuine here: if AI absorbs bid tabulation, budget rollups, space-utilization reporting and retention-schedule drafting, what remains is contractor dispute resolution, capital-project sequencing, and emergency response — the judgment tier. Watch for job postings that drop 'reporting/coordination' language and center 'vendor negotiation, capital planning, business continuity'.
Consolidation of the office-manager and facilities-manager variants into a single site-responsible role as records work automates — plus hybrid-era churn (office reconfiguration, sublease build-outs, sensor/BAS retrofits) that requires on-site walkthroughs and contractor supervision. If the surviving modal worker is the facilities manager rather than the records manager, this dimension rises mechanically.
Records-retention and legal-hold ownership becoming a named-custodian duty: FRCP 37(e) sanctions practice and SEC/FINRA books-and-records enforcement (e.g. the off-channel communications sweeps) already push firms to designate an accountable records officer. A court rule or regulator settlement requiring a named human custodian to attest to retention-policy execution and hold implementation would create a signature that cannot be AI-generated.
On the facilities side, jurisdictions requiring a named responsible person for life-safety systems — NFPA-referenced 'building safety director' or fire-safety-director certificates already mandatory in NYC high-rises, and similar OSHA general-duty/emergency-action-plan accountability. Wider state adoption of a certified, personally accountable facility safety manager would attach liability to this SOC directly.
If the role absorbs vendor/contract authority and business-continuity ownership currently held above it — signing authority thresholds delegated as middle coordination layers are cut, plus insurer requirements (property carriers increasingly demanding documented water-mitigation and BCP programs with a named owner) — the role owns consequential calls under ambiguity rather than executing them.
The limit. Trust premium has no plausible route: buyers of administrative and facilities services do not pay a premium for a human manager, they pay for the building working. The whole occupation also sits under a headcount ceiling — even the protected facilities half tends to be one person per site or per portfolio, so protection per worker rising is compatible with fewer such workers.
| New York-Newark-Jersey City, NY-NJ | 18,450 | $149,990 +31% |
| Los Angeles-Long Beach-Anaheim, CA | 13,310 | $124,560 +9% |
| Atlanta-Sandy Springs-Roswell, GA | 9,000 | $113,230 -1% |
| Chicago-Naperville-Elgin, IL-IN | 8,600 | $108,940 -5% |
| Boston-Cambridge-Newton, MA-NH | 6,960 | $120,670 +6% |
| Dallas-Fort Worth-Arlington, TX | 6,160 | $115,830 +1% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 5,840 | $144,520 +27% |
| Houston-Pasadena-The Woodlands, TX | 5,510 | $111,650 -2% |
| Billings, MT | 40 | $169,820 +49% |
| Denver-Aurora-Centennial, CO | 1,520 | $164,240 +44% |
| Trenton-Princeton, NJ | 1,260 | $154,070 +35% |
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 39. 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.