EXPOSED
Brokers hold the license, supervise agents, and are personally accountable for trust-account compliance, disclosure errors, and transaction files — none of that transfers to software. But the revenue-adjacent work AI already does well is substantial: comparative market analyses, listing copy, marketing collateral, lead qualification, contract assembly, and transaction-coordination checklists. The bigger threat isn't AI replacing the broker, it's AI plus post-NAR-settlement commission pressure thinning the fee pool that supports the role.
Headcount grew steadily across the period.
Median pay $59,720 → $73,220 -1.9% 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
+3.3%
Percentage only. The projection counts a different population from the 46,100 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Growing, and only partly exposed
The BLS expects +3.3% more of these jobs by 2034, and at 62/100 the work is only partly exposed — some tasks are automatable, the core of the job is not. Nothing here is in tension.
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.
~9,700 openings a year on average, including replacing people who leave.
BrokerDealerRealtorBuyer BrokerBuyers AgentClosing AgentLease AnalystLoan SpecialistManaging BrokerProperty BrokerBroker AssociateDesignated BrokerLease CoordinatorRealty SpecialistLeasing SpecialistReal Estate BrokerReal Estate CloserRental CoordinatorContract SpecialistLeasing ProfessionalOccupancy SpecialistReal Estate AssociateReal Estate SpecialistRealty Loan Specialist
Holding it up: trust premium . Weakest point: task resistance .
Mixed — a routine tier and a judgment tier A 9 reflects the split in a broker's week: CMA pricing, MLS data entry, listing descriptions, drip campaigns, lead scoring, and compliance-checklist review are already handled by Zillow/CoStar tooling and LLMs, while showing property, negotiating multiple-offer situations, and resolving inspection-repair standoffs still need a person on the phone and at the table — not a 4, because the negotiation and supervision half genuinely doesn't automate; not a 14, because the deliverables clients see most are largely generated output.
Some physical or field component An 11 covers the fact that brokers are in and out of vacant houses, crawl spaces, and lockboxes for walkthroughs, sign installations, and open houses in whatever weather closing season brings — but unlike an inspector or appraiser, most of the broker's own day is contracts, calls, and agent oversight from a desk, and much property viewing has moved to video and virtual tours.
Licensed human required and personally liable At 14, this is the real estate broker's license itself — the broker of record answers to the state commission for every agent under them, holds and reconciles the escrow/trust account under statutory rules, and eats disclosure and fair-housing violations personally, with revocation and E&O claims as the exposure; it stops short of 18+ because the license is state-issued with a modest exam and CE burden and can be transferred or delegated across a brokerage.
Meaningful discretion A 13 is for the calls no procedure covers: whether a defect is material enough to require disclosure, whether to counsel a seller to accept a lower cash offer over a shaky financed one, whether an agent's conduct warrants discipline or termination — high-consequence and contestable, though the stakes are financial and reversible in litigation rather than irreversible in the way a surgeon's or air traffic controller's are.
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 (14/20) is whether the law requires a licensed human to sign. Trust premium (15/20) is whether buyers specifically pay for a person. Judgment and accountability (13/20) 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 42 of this occupation's 62 points (68%).
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.
No occupation passed every test: close enough to real estate brokers 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 72/100 — SAFE.
State real estate commissions adopting rules that name the designated broker as the responsible supervisor for AI-generated listing content, valuations, and disclosure documents — i.e. requiring documented broker review of any automated CMA or contract package before it goes to a consumer. Several state commissions (e.g. Texas TREC, California DRE) already issue advisories on team/brokerage supervision and advertising accuracy; extending 'reasonable supervision' rules explicitly to AI outputs is a small, checkable step. Also: E&O carriers adding AI-output-review conditions to brokerage policies as a coverage requirement.
Genuine two-tier structure: if CMA production, listing copy, marketing, lead scoring and file-checklist coordination are fully absorbed by brokerage platforms, the residual broker day is trust-account reconciliation, agent discipline, commission-dispute arbitration, fair-housing risk calls, and deal-salvage negotiation — none of which current models do at usable quality unsupervised. Score rises by task-mix, though headcount falls at the same time.
Post-NAR-settlement buyer-agreement regimes push the consequential calls — how compensation is disclosed, whether a dual-agency arrangement is permissible, whether a disclosure omission requires re-opening a deal — onto the broker as the named accountable party in litigation and audit. If DOJ or state AG consent decrees fix personal broker accountability for compensation-disclosure compliance, this tier hardens.
Narrow route only: state-mandated or MLS-mandated human signature/attestation on valuation and disclosure documents converts preference into requirement. Voluntary consumer willingness to pay a premium for a human broker is eroding, not growing, under commission compression — do not count on this dimension.
The limit. The binding constraint is fee-pool economics, not capability or law. Liability and judgment levers can make the broker license more legally necessary per transaction while the number of brokerages that can fund the role shrinks — a higher score on a smaller occupation. Embodiment has no realistic upward route; showings and site work sit with agents, not brokers.
| New York-Newark-Jersey City, NY-NJ | 1,460 | — |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 990 | — |
| Miami-Fort Lauderdale-West Palm Beach, FL | 970 | $71,460 -2% |
| Portland-Vancouver-Hillsboro, OR-WA | 960 | $63,070 -14% |
| Chicago-Naperville-Elgin, IL-IN | 800 | $67,320 -8% |
| Riverside-San Bernardino-Ontario, CA | 760 | $58,760 -20% |
| Kansas City, MO-KS | 750 | $70,770 -3% |
| Detroit-Warren-Dearborn, MI | 690 | $85,600 +17% |
| Milwaukee-Waukesha, WI | 160 | $168,320 +130% |
| Charlotte-Concord-Gastonia, NC-SC | 150 | $95,320 +30% |
| Bakersfield-Delano, CA | 50 | $89,150 +22% |
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 62. 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.