Interviewers, Except Eligibility and Loan
In short: today's best AI models could do about 50% 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 50% of the time, stays with people.
Interview persons by telephone, mail, in person, or by other means for the purpose of completing forms, applications, or questionnaires. Ask specific questions, record answers, and assist persons with completing form. May sort, classify, and file forms.
148,060 people do this job in the US. $45,920 a year.
Reviewed on September 30, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on17 h
- A person checks AI's work3 h
- Desk work AI can't do yet0 h
- Stays with people20 h
Interviewers, Except Eligibility and Loan, now: of a 40-hour week, AI could take on 17 hours, 3 hours become checking its work, 0 hours are desk work it can't do yet, and 20 hours stay with people.
The largest pieces: Collect and analyze data (about 3 h); Record and code results (about 3 h); Prepare reports (about 3 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.
- 26%
- 25%
- 27%
- 18%
- 5%
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 50% 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, 2%. With Claude Mythos Preview (early), measured in April 2026, 41%. Today's estimate: 50%.
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, 0.24% went to this job's tasks in May 2026, the 89th largest of the 447 jobs that showed up at all; 3 of its 16 tasks showed up. Within each of Anthropic's methods, never across a change: 0.092% to 0.19% (released February and March 2025); 0.077% to 0.062% (August 2025 to February 2026); 0.25% to 0.24% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.092% | 178 of 708 | 7 of 16 |
| Released March 2025 | 0.19% | 92 of 703 | 6 of 16 |
| The week of Aug 4, 2025 (released September 2025) | 0.077% | 178 of 655 | 5 of 16 |
| The week of Nov 13, 2025 (released January 2026) | 0.051% | 232 of 672 | 5 of 16 |
| The week of Feb 5, 2026 (released March 2026) | 0.062% | 226 of 677 | 5 of 16 |
| April 2026 (released June 2026) | 0.25% | 86 of 434 | 3 of 16 |
| May 2026 (released June 2026) | 0.24% | 89 of 447 | 3 of 16 |
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 almost none of this job's working time as physical work, so robots do not reach it.
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
50% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Collect and analyze data, the in-person work, 6%
- List addresses and households, the hands-on work, 5%
- Ask the set questions, the conversation, 5%
- Help people fill in forms, the in-person work, 5%
- Resolve inconsistent answers, the conversation, 5%
- Help patients with questions, the conversation, 4%
What becomes checking the machine
8% 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 42% is desk work that is small if wrong, which can be handed over with lighter checks.
- Office duties and billing, costly if wrong, 5%
- Verify insurance and financing, costly if wrong, 3%
What to learn
- The conversations. About 45% 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.
- Briefing a model and checking its drafts. About 26% of the time is documents and data, the part models reach first: writing a clear brief, giving the right material, and checking what comes back.
- 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.
- Running AI inside the business systems. About 25% of the time is work inside business systems, which a model can do only once it is connected: knowing the systems well enough to set that up and watch it.
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 . 16 tasks from .
| Task | ||||
|---|---|---|---|---|
| Collect and analyze data, such as studying old records, tallying the number of outpatients entering each day or week, or participating in federal, state, or local population surveys as a Census Enumerator.Records studied and tallied, with door to door enumeration.Done daily by most who do it. AI observed on this task. | 15% | 2.5 h50 min to 6.7 h | Documents 60%, in person 40% | 57%Desk part half by now |
| Locate and list addresses and households.Walking the area and listing the households.Done several times a day by most who do it. | 10% | 50 min25 min to 2.5 h | Systems 50%, hands-on 50% | 50%Desk part half by now |
| Perform office duties, such as telemarketing or customer service inquiries, maintaining staff records, billing patients, or receiving payments.Billing, records and payments in the systems, with calls.Done hourly or more by most who do it. | 9% | 25 min8 min to 50 min | Systems 60%, conversation 40% | 60%Desk part half by now |
| Compile, record, and code results or data from interview or survey, using computer or specified form.Answers entered and coded.Done hourly or more by most who do it. AI observed on this task. | 7% | 25 min13 min to 50 min | Systems 100% | 100%Half by now |
| Ask questions in accordance with instructions to obtain various specified information, such as person's name, address, age, religious preference, or state of residency.Working through the questions by phone or in person, entering the answers.Done hourly or more by most who do it. AI observed on this task. | 7% | 17 min8 min to 38 min | Conversation 50%, systems 30%, in person 20% | 30%Desk part half by now |
| Assist individuals in filling out applications or questionnaires.Working through the form with the person and entering it.Done daily by most who do it. | 7% | 25 min13 min to 50 min | In person 70%, systems 30% | 30%Desk part half by now |
| Identify and report problems in obtaining valid data.Problems written up and talked through.Done daily by most who do it. AI observed on this task. | 7% | 25 min13 min to 50 min | Documents 60%, conversation 40% | 60%Desk part half by now |
| Prepare reports to provide answers in response to specific problems.Reports written.Done daily by most who do it. | 6% | 1.7 h50 min to 3.3 h | Documents 100% | 100%Half by now |
| Ensure payment for services by verifying benefits with the person's insurance provider or working out financing options.Calls to insurers and the benefits looked up.Done daily by most who do it. | 6% | 25 min13 min to 1.1 h | Systems 50%, conversation 50% | 50%Desk part half by now |
| Review data obtained from interview for completeness and accuracy.Reading the answers for gaps and errors.Done daily by most who do it. | 5% | 17 min8 min to 33 min | Documents 100% | 100%Half by now |
| Supervise or train other staff members.Day to day conversation with the team, with checks of their work.Done more than monthly by most who do it. | 5% | 50 min25 min to 2.5 h | Conversation 70%, documents 30% | 30%Desk part half by now |
| Identify and resolve inconsistencies in interviewees' responses by means of appropriate questioning or explanation.Follow-up questions to the interviewee.Done daily by most who do it. | 5% | 17 min8 min to 38 min | Conversation 60%, in person 40% | Stays with people |
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.
- Eligibility Interviewers, Government Programs62% now, 62% by 2028
- Patient Representatives56% now, 59% by 2028
- Office Clerks, General56% now, 56% by 2028
- Human Resources Assistants, Except Payroll and Timekeeping70% now, 70% by 2028
- Receptionists and Information Clerks60% now, 60% by 2028
- Medical Secretaries and Administrative Assistants84% now, 84% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
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 Interviewers, Except Eligibility and Loan is within reach of AI now?
- An estimated 50% of the working time is within reach of AI models now and 50% 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 Interviewers, Except Eligibility and Loan 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: Collect and analyze data (57% of the task's time now); Record and code results (100% of the task's time now); and Prepare reports (100% of the task's time now).
- Which tasks of Interviewers, Except Eligibility and Loan stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Resolve inconsistent answers; Help patients with questions; and Contact people to interview. Together such tasks are about 17% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Interviewers, Except Eligibility and Loan 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 briefing a model and checking its drafts. By the end of 2028 on the long-run pace at four in five, about 50% of the working time stays with people, 8% becomes checking a model's work and 42% 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 Interviewers, Except Eligibility and Loan?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.24% went to this job's tasks, the 89th largest share of the 447 jobs that showed up; 3 of its 16 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 39%. 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 Interviewers, Except Eligibility and Loan?
- Anthropic's robot exposure rating (September 2026) finds almost none of the working time is physical work, so robots do not reach it.
- How is this estimated?
- From the 16 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 September 30, 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.
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