Residential Advisors
In short: today's best AI models could do about 26% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about the same by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 74% of the time, stays with people.
Coordinate activities in resident facilities in secondary school and college dormitories, group homes, or similar establishments. Order supplies and determine need for maintenance, repairs, and furnishings. May maintain household records and assign rooms. May assist residents with problem solving or refer them to counseling resources.
84,760 people do this job in the US. $42,240 a year.
Reviewed on October 1, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on3 h
- A person checks AI's work7 h
- Desk work AI can't do yet0 h
- Stays with people30 h
Residential Advisors, now: of a 40-hour week, AI could take on 3 hours, 7 hours become checking its work, 0 hours are desk work it can't do yet, and 30 hours stay with people.
The largest pieces: Supervise and train hall staff (about 2 h, a person checks); Oversee the budget (about 2 h, a person checks); Compile activity and supply reports (about 1 h).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 19%
- 7%
- 10%
- 45%
- 19%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
What handing it over would take, now
The 26% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 22%. Today's estimate: 26%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.11% went to this job's tasks in May 2026, the 159th largest of the 447 jobs that showed up at all; 2 of its 30 tasks showed up. Within each of Anthropic's methods, never across a change: 0.035% to 0.041% (released February and March 2025); 0.015% to 0.011% (August 2025 to February 2026); 0.11% to 0.11% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.035% | 335 of 708 | 5 of 30 |
| Released March 2025 | 0.041% | 299 of 703 | 4 of 30 |
| The week of Aug 4, 2025 (released September 2025) | 0.015% | 408 of 655 | 3 of 30 |
| The week of Nov 13, 2025 (released January 2026) | 0.014% | 436 of 672 | 3 of 30 |
| The week of Feb 5, 2026 (released March 2026) | 0.011% | 479 of 677 | 2 of 30 |
| April 2026 (released June 2026) | 0.11% | 154 of 434 | 2 of 30 |
| May 2026 (released June 2026) | 0.11% | 159 of 447 | 2 of 30 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 22% of this job's working time as physical work. For 10% of the working time, a robot has been shown doing most of the task somewhere: 3% in a purpose-built cell, 8% in a structured facility. 0.18 of 3, the 454th highest of the 923 jobs.
- Not physical 78%
- No robot shown 12%
- In a purpose-built cell 3%
- In a structured facility 8%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
74% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Supervise and train hall staff, the in-person work, 11%
- Enforce house rules, the in-person work, 6%
- Mediate between residents, the in-person work, 6%
- Make safety rounds, the hands-on work, 5%
- Chaperone trips and events, the in-person work, 5%
- Watch for unusual behavior, the in-person work, 5%
What becomes checking the machine
18% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it. Another 9% is desk work that is small if wrong, which can be handed over with lighter checks.
- Supervise and train hall staff, costly if wrong, 5%
- Oversee the budget, costly if wrong, 4%
- Develop individual program plans, costly if wrong, 3%
- Process contract cancellations, costly if wrong, 3%
- Plan counseling programs with counselors, costly if wrong, 2%
- Report on students' progress, costly if wrong, 0.9%
What to learn
- The conversations. About 55% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
- Dealing with people outside the organization. Customers, patients, suppliers or the public: trust with them is built by a person.
- Handling protected records. Much of the work touches protected personal records: knowing what may be shared with a model, and how, is part of the job.
- Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check: spotting what a draft gets wrong is a skill of its own.
- Judgment where errors are severe. Some tasks are severe if wrong. Knowing when not to trust an output matters more there than speed.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 30 tasks from .
| Task | ||||
|---|---|---|---|---|
| Supervise, train, and evaluate residence hall staff, including resident assistants, participants in work-study programs, and other student workers.Leading and training the staff in the hall, with the evaluations written.Done daily by most who do it. | 16% | 1.7 h50 min to 2.5 h | In person 70%, documents 30% | 30%Desk part half by now |
| Enforce rules and regulations to ensure the smooth and orderly operation of dormitory programs.Face to face with residents.Done daily by most who do it. | 6% | 25 min8 min to 50 min | In person 100% | Stays with people |
| Mediate interpersonal problems between residents.Sitting down with the residents in conflict.Done daily by most who do it. | 6% | 50 min17 min to 1.7 h | In person 100% | Stays with people |
| Collaborate with counselors to develop counseling programs that address the needs of individual students.Meetings with counselors and the program written up.Done more than monthly by most who do it. | 6% | 1.3 h25 min to 2.1 h | Conversation 60%, documents 40% | 40%Desk part half by now |
| Make regular rounds to ensure that residents and areas are safe and secure.Walking the building.Done daily by most who do it. Robots: in a structured facility, aeo (Aeolus Robotics) (deployed). Anthropic's rating. | 5% | 25 min17 min to 1.3 h | Hands-on 100% | Stays with people |
| Chaperone group-sponsored trips and social functions.Being there with the group.Done more than yearly by most who do it. | 5% | 3.3 h1.7 h to 6.7 h | In person 60%, hands-on 40% | Stays with people |
| Develop and coordinate educational programs for residents.Planning the program and running it with residents.Done more than weekly by most who do it. | 5% | 1.7 h50 min to 4.2 h | Documents 50%, in person 50% | 50%Desk part half by now |
| Observe students to detect and report unusual behavior.Being present among residents, with a report when something is wrong.Done daily by most who do it. | 5% | 25 min8 min to 1.3 h | In person 60%, hands-on 40% | Stays with people |
| Communicate with other staff to resolve problems with individual students.Conversations with staff about the student.Done daily by most who do it. | 4% | 25 min8 min to 50 min | Conversation 100% | Stays with people |
| Provide transportation or escort for expeditions, such as shopping trips or visits to doctors or dentists.Driving residents and staying with them.Done daily by most who do it.Robots: no robot shown. Anthropic's rating. | 4% | 1.7 h50 min to 2.5 h | Hands-on 70%, in person 30% | Stays with people |
| Oversee departmental budget.Tracking spending against the budget.Done daily by most who do it. | 4% | 1.7 h50 min to 3.3 h | Documents 70%, systems 30% | 100%Half by now |
| Develop program plans for individuals or assist in plan development.Writing the plan, with the resident's input in person.Done daily by most who do it. AI observed on this task. | 4% | 1.3 h38 min to 2.5 h | Documents 70%, in person 30% | 70%Desk part half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Social and Community Service Managers36% now, 51% by 2028
- Rehabilitation Counselors64% now, 64% by 2028
- First-Line Supervisors of Personal Service Workers31% now, 32% by 2028
- Child, Family, and School Social Workers32% now, 44% by 2028
- Educational, Guidance, and Career Counselors and Advisors29% now, 32% by 2028
- Social and Human Service Assistants24% now, 24% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
- Residential Intellectual and Developmental Disability, Mental Health, and Substance Abuse Facilities20,110 people
- Community Food and Housing, and Emergency and Other Relief Services12,080 people
- Colleges, Universities, and Professional Schools11,380 people
- Individual and Family Services8,470 people
- Other Residential Care Facilities8,290 people
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Residential Advisors is within reach of AI now?
- An estimated 26% of the working time is within reach of AI models now and 26% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Residential Advisors come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Supervise and train hall staff (30% of the task's time now); Oversee the budget (100% of the task's time now); and Compile activity and supply reports (100% of the task's time now).
- Which tasks of Residential Advisors stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Enforce house rules; Mediate between residents; and Make safety rounds. Together such tasks are about 52% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Residential Advisors learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are the conversations; dealing with people outside the organization; and handling protected records. By the end of 2028 on the long-run pace at four in five, about 74% of the working time stays with people, 18% becomes checking a model's work and 9% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of Residential Advisors?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.11% went to this job's tasks, the 159th largest share of the 447 jobs that showed up; 2 of its 30 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 7%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Residential Advisors?
- Anthropic's robot exposure rating (September 2026) finds 22% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 10% of the working time, 8% in a structured facility. Its index is 0.18 of 3. One example: aeo (Aeolus Robotics) for "make safety rounds". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 30 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on October 1, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
This job in your state or metro area
Embed these figures on your site
A small card with the share of working time within reach now and at the end of 2027, 2028 and 2030, the date and a link back. Free under CC BY 4.0; the card carries the credit.
Your own version of this job
The page above is the occupation. Your job is your title and what you actually do: give both, and they are read against these tasks in your browser, nothing sent anywhere. The headline is free: how much of your working time is within reach now and by the end of 2028, and how many of the tasks your description names.
The full personal report is $19, to print or save as a PDF: every task with when it comes within reach, which ones your description names, the parts of your description the task list does not cover, what stays with you, what becomes checking the machine and what to learn.