EXPOSED
The modal residential advisor — dorm staff, group home and halfway house workers, youth shelter overnight staff — spends the day physically present with residents: bed checks, de-escalating conflicts, walking someone to a medical appointment, enforcing curfew, noticing that a resident stopped eating. None of that digitizes, and robotics is nowhere near it. What AI does erode is the paperwork layer: incident reports, shift logs, occupancy and roommate assignment, activity scheduling, and referral letters to social services. The real threat to this job is budget and staffing pressure, not a model taking the shift.
Part 2020 shock, part continued decline in the years since.
Median pay $29,450 → $42,240 +14.7% 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
+3.8% 91,200 → 94,700 on the projections basis
Growing, and only partly exposed
The BLS expects +3.8% more of these jobs by 2034, and at 63/100 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.
~17,400 openings a year on average, including replacing people who leave.
HousefellowHouse FatherHouse MotherHouse ParentHall DirectorResident AideCottage ParentSorority MotherHall CoordinatorHousing DirectorResident AdvisorResident MonitorResidential AideHousing AssistantResident DirectorCottage SupervisorResidence DirectorResident AssistantDormitory CounselorResidential AdvisorSorority SupervisorDormitory SupervisorResidence SupervisorResidential Director
Holding it up: embodiment . Weakest point: liability shield .
Tasks largely resist digitisation A 15 rather than a 19 reflects that the shift-report writing, room draw and roommate matching, meal-count and occupancy tracking, and the referral paperwork you file after an incident are genuinely drafted faster by a model — but the bed check at 2am, the hand on a door during a fight, and the walk-through after a resident's roommate reports a smell are not tasks a system can pick up.
Hands-on in uncontrolled environments You work inside the residence itself — dorm floors, group home kitchens, shelter bunk rooms — where an uncontrolled environment means a resident in crisis, a fire alarm, a wet stairwell, vomit at 4am, and an intoxicated arrival at the door; 17 instead of 20 only because the setting is a building you know rather than a street or wilderness.
Certification preferred, not legally required Most residential advisor postings ask for a high school diploma plus CPR/first aid and sometimes a state-specific mandated-reporter or crisis-intervention certificate; the licensed clinician, program director, or dean of students carries the professional liability, and your name on an incident report is testimony, not sign-off.
Meaningful discretion You decide in the moment whether a fight is a redirect or a police call, whether a curfew violation is written up or absorbed, and whether tonight's behavior meets the mandated-reporting threshold — real discretion with real consequences, but bounded by a program handbook, an on-call supervisor, and escalation protocols that keep it at 12 rather than 17.
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 (15/20 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 (5/20) is whether the law requires a licensed human to sign. Trust premium (14/20) is whether buyers specifically pay for a person. Judgment and accountability (12/20) 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 31 of this occupation's 63 points (49%).
Embodiment (17/20) 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.
Flight Attendants SAFE
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 84/100 — SAFE.
State licensing of residential care/group home staff with named-staff accountability — e.g. mandatory certification and minimum staffing ratios for children's residential facilities under the federal Family First Prevention Services Act QRTP standards, or state group-home rules requiring a certified staff member on duty per shift who signs incident reports and restraint documentation. Certification plus personal signature on restraint/seclusion and medication-administration records converts the role into a required human of record.
Task-mix shift: if AI absorbs shift logs, occupancy and roommate assignment, and referral letters, the remaining shift is de-escalation, risk assessment and crisis triage — the judgment tier. This raises effective judgment weight without any legal change.
Same two-tier shift as above: the residual job is unstructured interpersonal crisis work, which is the part current models cannot do at usable quality. Note this raises the score of the job that remains while reducing headcount per facility.
Codified suicide-risk and mandatory-reporter protocols that place the initial call — hospitalize, restrain, call police, notify guardian — explicitly on the on-duty advisor rather than a remote supervisor; some state Medicaid behavioral-health licensing rules and Joint Commission behavioral health accreditation already push documentation of who made the call.
Union contracts (SEIU, AFSCME locals covering group home and shelter staff) or state Medicaid rate-setting that price minimum awake-staff coverage per resident and bar substitution by remote monitoring — Washington and Oregon have fought over electronic-monitoring substitution in supported living. A rule that camera/sensor monitoring cannot count toward staffing minimums makes the buyer pay for a human by law.
Post-scandal consent decrees and state legislation after deaths in youth residential facilities (the pattern following Congressional investigations into residential treatment programs) imposing per-resident supervision documentation signed by a named on-shift staffer, with licensure sanctions for falsification.
The limit. Even with every lever, the binding constraint is public and nonprofit budgets. Higher liability and staffing floors raise the score per remaining position but do not stop facilities from cutting beds, consolidating sites, or replacing overnight awake staff with sensor monitoring where regulators permit it. Trust premium is capped because the payer is rarely the resident.
| New York-Newark-Jersey City, NY-NJ | 4,910 | $47,510 +12% |
| Los Angeles-Long Beach-Anaheim, CA | 3,570 | $45,240 +7% |
| Boston-Cambridge-Newton, MA-NH | 3,250 | $48,830 +16% |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 3,040 | $47,010 +11% |
| Minneapolis-St. Paul-Bloomington, MN-WI | 1,910 | $52,410 +24% |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 1,820 | $39,990 -5% |
| Chicago-Naperville-Elgin, IL-IN | 1,730 | $44,320 +5% |
| San Francisco-Oakland-Fremont, CA | 1,130 | $54,510 +29% |
| Barnstable Town, MA | 100 | $59,140 +40% |
| Bloomington, IN | 40 | $57,080 +35% |
| Durham-Chapel Hill, NC | 370 | $56,170 +33% |
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 63. 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.