EXPOSED
Roughly half the job is screen work AI already does well — drafting RFPs, comparing venue bids, building budgets and run-of-show timelines, managing registration lists, writing attendee comms and post-event reports. What doesn't automate is event day: walking the room, catching that the AV feed is dead and the keynote lands in 12 minutes, renegotiating with a caterer whose truck is stuck, and being the person the client blames or thanks. No license protects the role, so the shrinkage happens in the coordinator tier while senior planners who own on-site command survive.
Dipped in 2020, then grew past where it started.
Median pay $50,600 → $61,160 -3.3% 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
+4.8% 155,800 → 163,300 on the projections basis
Exposed, but growing
AI can already do a lot of these tasks, and the BLS still expects +4.8% 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.
~15,500 openings a year on average, including replacing people who leave.
PlannerEvent StaffEvent ManagerEvent PlannerParty PlannerEvent OrganizerEvents DirectorMeeting ManagerMeeting PlannerWedding PlannerEvent SpecialistWedding DesignerCatering DirectorConvention WorkerEvent CoordinatorConference ManagerConference PlannerConvention ManagerConvention PlannerConference ProducerCatering CoordinatorConference OrganizerScheduling CoordinatorSpecial Events Manager
Event Marketing ManagerField Marketing Manager
Holding it up: trust premium . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier An 8 reflects that the RFP-to-BEO paperwork trail, room-block tracking, registration and badge logic, and post-event attendance reconciliation are all templated enough for software to draft, while site inspections, load-in supervision, and real-time reallocation of a floorplan when the fire marshal caps the room at 250 keep it out of the automatable band.
Some physical or field component An 11 comes from the fact that you are physically present for site walks, load-in and strike, and 14-hour show days moving pipe-and-drape and chasing the AV tech — but the venue is climate-controlled and pre-inspected, not a roof or a trench, so it does not reach the uncontrolled-environment tier.
No licence, no signature requirement A 2 is accurate because CMP and CMM are voluntary industry credentials no client, hotel, or state requires to sign a contract — the venue's liquor licence, the caterer's food handler permit, and the client's insurance carry the actual legal exposure, not you.
Meaningful discretion An 11 reflects genuine discretion — cutting F&B when registration comes in 30% light, deciding to move an outdoor reception indoors at 2pm, choosing which contract attrition clause to fight — but the budget ceiling, the signed venue contract, and the client's approval sit above every one of those calls.
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 (12/20) 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 25 of this occupation's 44 points (57%).
Embodiment (11/20) 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.
Producers and Directors EXPOSED
Real Estate Brokers 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 60/100, still EXPOSED.
Task-mix shift is genuinely two-tier here: if RFP drafting, bid comparison, budget builds and registration ops are absorbed by tools (Cvent/Bizzabo AI features already ship this), the surviving role is site-selection judgment, contract risk negotiation, and live crisis command — work current models cannot do at usable quality. Watch for coordinator postings collapsing while 'event operations lead' postings grow.
If planners are formally named in contracts as the decision authority for weather/force-majeure cancellation calls and crowd-density stop-show decisions — a clause pattern spreading in venue and promoter agreements since 2022 — the role owns consequential ambiguous calls with attributable names attached.
If venue and insurer requirements push more of the job onto documented physical duty — e.g. crowd-safety walkthroughs under Event Safety Alliance guidance, or a named on-site safety officer required by municipal permits for large gatherings (as post-Astroworld ordinances in some cities do) — the on-floor share of the day rises.
No license exists and none is proposed. The nearest real route is contractual, not statutory: event cancellation and general liability insurers requiring a named, credentialed planner (CMP or CSEP) as a condition of binding coverage for events above a headcount threshold, or venue master agreements naming an individual responsible for the emergency action plan. That is a soft shield, not personal statutory liability.
Narrow route: high-stakes categories where the client is buying a person's relationships and blame-absorption — incentive travel, board retreats, political conventions, medical congresses under Sunshine Act/EFPIA transfer-of-value reporting where a human must attest spend allocations. If those segments grow as a share of the profession, the premium concentrates there. It does not extend to corporate all-hands or trade-show logistics.
The limit. Ceiling is real: with no license and a buyer base that mostly treats planning as procurement, the top realistic band is mid-50s, and it applies to the senior on-site tier only. The coordinator tier has no lever available to it.
| New York-Newark-Jersey City, NY-NJ | 9,050 | $78,610 +29% |
| Los Angeles-Long Beach-Anaheim, CA | 7,300 | $68,850 +13% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 5,140 | $75,450 +23% |
| Chicago-Naperville-Elgin, IL-IN | 4,230 | $62,640 +2% |
| Boston-Cambridge-Newton, MA-NH | 3,650 | $78,010 +28% |
| San Francisco-Oakland-Fremont, CA | 3,490 | $82,120 +34% |
| Atlanta-Sandy Springs-Roswell, GA | 3,470 | $50,140 -18% |
| Dallas-Fort Worth-Arlington, TX | 3,380 | $62,720 +3% |
| San Jose-Sunnyvale-Santa Clara, CA | 1,190 | $90,560 +48% |
| Kahului-Wailuku, HI | 130 | $84,640 +38% |
| San Francisco-Oakland-Fremont, CA | 3,490 | $82,120 +34% |
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 44. 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.