EXPOSED
This is a residual bucket — career counselors in niche settings, financial-wellness counselors, genetic-support and grief counselors, credit and housing counselors — so score the modal worker: someone who runs one-on-one sessions, assesses a client's situation, and connects them to programs or plans. The session itself, where a person discloses something hard and needs to be heard by a human who will follow up, is the product and does not automate. What does automate is the paperwork spine: intake forms, progress notes, eligibility screening, resource lookups, referral letters, and the standard-plan drafting that consumes much of the week, plus the low-acuity informational conversations chatbots now handle acceptably.
Headcount grew steadily across the period.
Median pay $42,930 → $50,860 -5.2% 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
+12.6%
Percentage only. The projection counts a different population from the 28,580 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 +12.6% more of these jobs by 2034, and at 60/100 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.
~7,400 openings a year on average, including replacing people who leave.
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The BLS uses Counselors, All Other for work that doesn't fit any named occupation, so it covers roles that have little in common with each other. Two consequences worth knowing before you read anything below:
Holding it up: trust premium . Weakest point: liability shield .
Mixed — a routine tier and a judgment tier At 13 the session work holds — a client disclosing a foreclosure notice or a bad genetic result needs a person across the table who will call them back — but roughly the other half of the week is HUD-mandated intake and budget worksheets, benefits eligibility screening, resource-directory lookups, referral letters and template action plans, all of which draft themselves now, which keeps this out of the 14+ band.
Some physical or field component A 9 rather than a 3 reflects that this bucket works out of community agencies, hospitals, prisons, schools and clients' living rooms — home visits for housing counseling, bedside grief support, worksite financial-wellness sessions — but no one is lifting, driving a route, or operating equipment, so the physical demand is presence-in-place rather than hands-on work.
Certification preferred, not legally required An 8 is the honest middle: many in this bucket hold real credentials — HUD certification for housing counselors, NFCC/AFCPE for credit and financial counselors, GCC or NBCC-adjacent letters for genetic and career work — but these are agency-level or voluntary certifications, not a state licence with a board that can strip your right to practice, and the agency, lender, or supervising clinician carries the exposure when advice goes wrong.
Meaningful discretion 13 covers real discretion inside guardrails: deciding whether a client is stable enough for a repayment plan versus bankruptcy referral, whether grief has crossed into something needing clinical handoff, whether to flag suspected abuse — consequential calls, but made against agency protocol, funder rules and escalation paths rather than as the final unreviewable decision-maker.
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 (13/20 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 (8/20) is whether the law requires a licensed human to sign. Trust premium (17/20) 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 38 of this occupation's 60 points (63%).
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.
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 74/100 — SAFE.
Genuine two-tier structure: if intake, eligibility screening, resource lookup, referral letters and standard-plan drafting are absorbed by agency case-management software, the residual day is crisis disclosure, contested eligibility appeals, and clients whose situation does not fit any program — the tier current models cannot close out. Watch for caseload-per-counselor rising while session length rises too.
HUD's housing counseling program already requires agency approval and certified counselors (HUD Housing Counselor Certification exam) for services funded by HUD grants; extending an equivalent named-certified-counselor sign-off to loss-mitigation packages, or a CFPB/state rule that debt management plans and reverse-mortgage (HECM) counseling certificates must be issued by an identified certified human who attests the session occurred, would raise this. Similarly, state licensure of genetic counselors (now in ~35 states, with NSGC pushing the remaining ones plus the federal Access to Genetic Counselor Services Act for Medicare billing) puts a personally-liable licensee in the loop.
If the role formally owns the adverse call — denying eligibility, certifying that a client understood a reverse-mortgage risk, escalating a grief or genetic-result session to psychiatric referral, mandated reporting — and that call is attributable by name in an auditable file, this rises. Watch for HUD/CFPB exam findings that name individual counselors, or agency policy that AI-generated plan recommendations require a documented human override rationale.
Already high and hard to raise much further, but a route exists: if funders and accreditors (COA, NFCC member standards, HUD grant terms) begin requiring that a disclosed-human session be offered as the default rather than an escalation from a chatbot tier, the human contact becomes the billable unit rather than an upsell. Conversely a state consumer-protection rule requiring disclosure when counseling is AI-delivered — as in the Illinois 2025 WOPR Act restricting AI therapy — makes the human label purchasable.
The limit. Embodiment has no route; sessions are increasingly remote, which lowers it. The structural ceiling is fragmentation: this is a residual SOC bucket with no single licensing board, so gains accrue to the sub-groups that have one (genetic counselors, HUD-certified housing counselors) and not to career or financial-wellness counselors, who may see no liability shield at all. Also, most of these roles are grant- or fee-funded at low margin, so cost pressure pushes agencies toward the chatbot tier even where the human product is preferred.
| Los Angeles-Long Beach-Anaheim, CA | 4,170 | $48,830 -4% |
| San Francisco-Oakland-Fremont, CA | 1,260 | $54,820 +8% |
| Baltimore-Columbia-Towson, MD | 1,190 | $45,210 -11% |
| Riverside-San Bernardino-Ontario, CA | 910 | $46,190 -9% |
| New York-Newark-Jersey City, NY-NJ | 820 | $63,300 +24% |
| Houston-Pasadena-The Woodlands, TX | 620 | $54,450 +7% |
| Dallas-Fort Worth-Arlington, TX | 610 | $52,340 +3% |
| San Diego-Chula Vista-Carlsbad, CA | 610 | $47,970 -6% |
| Trenton-Princeton, NJ | 130 | $107,330 +111% |
| Ogden, UT | 40 | $93,180 +83% |
| San Luis Obispo-Paso Robles, CA | 100 | $91,940 +81% |
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 60. 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.