Allergists and Immunologists
In short: today's best AI models could do about 39% 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 52% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 47% of the time, stays with people.
Diagnose, treat, and help prevent allergic diseases and disease processes affecting the immune system.
$265,930 a year (for the broader BLS group this job sits in).
Reviewed on October 18, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on1 h
- A person checks AI's work14 h
- Desk work AI can't do yet6 h
- Stays with people19 h
Allergists and Immunologists, now: of a 40-hour week, AI could take on 1 hours, 14 hours become checking its work, 6 hours are desk work it can't do yet, and 19 hours stay with people.
The largest pieces: Develop treatment plans (about 3 h, a person checks); Document medical histories (about 2 h, a person checks); Conduct research (about 2 h, a person checks).
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.
- 40%
- 13%
- 3%
- 17%
- 27%
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 39% 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, 33%. Today's estimate: 39%.
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, 0.032% went to this job's tasks in May 2026, the 255th largest of the 447 jobs that showed up at all; 2 of its 16 tasks showed up. Within each of Anthropic's methods, never across a change: 0.058% to 0.11% (released February and March 2025); 0.075% to 0.11% (August 2025 to February 2026); 0.011% to 0.032% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.058% | 249 of 708 | 4 of 16 |
| Released March 2025 | 0.11% | 155 of 703 | 4 of 16 |
| The week of Aug 4, 2025 (released September 2025) | 0.075% | 183 of 655 | 3 of 16 |
| The week of Nov 13, 2025 (released January 2026) | 0.12% | 138 of 672 | 4 of 16 |
| The week of Feb 5, 2026 (released March 2026) | 0.11% | 147 of 677 | 4 of 16 |
| April 2026 (released June 2026) | 0.011% | 336 of 434 | 1 of 16 |
| May 2026 (released June 2026) | 0.032% | 255 of 447 | 2 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 18% of this job's working time as physical work. For 0% of the working time, a robot has been shown doing most of the task somewhere. 0.00 of 3.
- Not physical 82%
- No robot shown 18%
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
47% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Diagnose and treat allergies, the hands-on work, 7%
- Give immunotherapy, the hands-on work, 7%
- Perform allergen challenges, the hands-on work, 6%
- Conduct research, the hands-on work, 6%
- Educate patients, the in-person work, 5%
- Examine patients, the hands-on work, 4%
What becomes checking the machine
44% 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 8% is desk work that is small if wrong, which can be handed over with lighter checks.
- Conduct research, costly if wrong, 13%
- Develop treatment plans, a licensed person signs, 8%
- Document medical histories, severe if wrong, 6%
- Weigh therapy risks and benefits, a licensed person signs, 5%
- Interpret test results, a licensed person signs, 4%
- Prescribe medications, a licensed person signs, 2%
What to learn
- Judgment where errors are severe. Some tasks are severe if wrong. Knowing when not to trust an output matters more there than speed.
- Signing off under your license. Some tasks need a licensed, certified or sworn person to do or sign them. The license, and the judgment it stands for, stays with the person.
- 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 or sign: spotting what a draft gets wrong is a skill of its own.
- Briefing a model and checking its drafts. About 40% 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.
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 | ||||
|---|---|---|---|---|
| Conduct laboratory or clinical research on allergy or immunology topics.Analysis and writing, with time at the bench and with study patients.Done daily by most who do it. | 19% | 6.7 h1.7 h to 4.2 work days | Documents 70%, hands-on 20%, in person 10% | 28%Desk part half by Jan 2027 |
| Present research findings at national meetings or in peer-reviewed journals.Writing the paper and presenting at meetings.Done yearly or less by most who do it. | 10% | 2.1 work days3.3 h to 1.7 work weeks | Documents 70%, in person 30% | 10%Desk part half by Oct 2027 |
| Diagnose or treat allergic or immunologic conditions.Examining and treating the patient in the room, with the record read and written.Done hourly or more by most who do it. | 9% | 33 min17 min to 50 min | Hands-on 50%, in person 30%, documents 20% | 20%Desk part half by now |
| Provide therapies, such as allergen immunotherapy or immunoglobin therapy, to treat immune conditions.Giving the allergy shots and other therapies by hand, with the dose charted.Done hourly or more by most who do it. | 8% | 38 min17 min to 1.3 h | Hands-on 80%, systems 20% | 20%Desk part half by now |
| Develop individualized treatment plans for patients, considering patient preferences, clinical data, or the risks and benefits of therapies.Working out the plan from the record and the patient's preferences, then entering it.Done hourly or more by most who do it. AI observed on this task. | 8% | 29 min17 min to 46 min | Documents 70%, systems 30% | 100%Half by now |
| Perform allergen provocation tests such as nasal, conjunctival, bronchial, oral, food, or medication challenges.Giving the challenge dose and watching the patient closely, with the record kept.Done more than monthly by most who do it. Robots: no robot shown. Anthropic's rating. | 7% | 1.3 h25 min to 2.5 h | Hands-on 70%, in person 20%, systems 10% | 10%Desk part half by now |
| Document patients' medical histories.The history typed into the patient's record.Done hourly or more by most who do it. AI observed on this task. | 6% | 21 min8 min to 33 min | Systems 100% | 100%Half by now |
| Order or perform diagnostic tests such as skin pricks and intradermal, patch, or delayed hypersensitivity tests.Skin tests done by hand, with the order entered.Done several times a day by most who do it. Robots: no robot shown. Anthropic's rating. | 5% | 25 min13 min to 50 min | Hands-on 80%, systems 20% | 20%Desk part half by now |
| Educate patients about diagnoses, prognoses, or treatments.Explaining the diagnosis and treatment to the patient in the room.Done hourly or more by most who do it. AI observed on this task. | 5% | 17 min8 min to 25 min | In person 100% | Stays with people |
| Assess the risks and benefits of therapies for allergic and immunologic disorders.Weighing the options against the patient's record.Done hourly or more by most who do it. | 5% | 25 min13 min to 38 min | Documents 100% | 100%Half by now |
| Conduct physical examinations of patients.Hands-on examination with the patient, asking as it goes.Done hourly or more by most who do it. Robots: no robot shown. Anthropic's rating. | 4% | 17 min8 min to 29 min | Hands-on 80%, in person 20% | Stays with people |
| Interpret diagnostic test results to make appropriate differential diagnoses.Reading the results and weighing the diagnoses.Done hourly or more by most who do it. AI observed on this task. | 4% | 17 min8 min to 29 min | Documents 100% | 100%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.
Where this job works
The industry groups that employ the most of it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Questions about this job
- How much of the work of Allergists and Immunologists is within reach of AI now?
- An estimated 39% of the working time is within reach of AI models now and 52% by the end of 2028, on METR's long-run pace at four in five (48% to 53% across the three paces the site shows). 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 Allergists and Immunologists 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: Develop treatment plans (100% of the task's time now); Document medical histories (100% of the task's time now); and Conduct research (28% of the task's time now, 69% by the end of 2028).
- Which tasks of Allergists and Immunologists stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Educate patients; and Examine patients. Together such tasks are about 9% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Allergists and Immunologists learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are judgment where errors are severe; signing off under your license; and reviewing work you did not do yourself. By the end of 2028 on the long-run pace at four in five, about 47% of the working time stays with people, 44% becomes checking a model's work and 8% 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 Allergists and Immunologists?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.032% went to this job's tasks, the 255th largest share of the 447 jobs that showed up; 2 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 3%. 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 Allergists and Immunologists?
- Anthropic's robot exposure rating (September 2026) finds 18% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 0% of the working time. Its index is 0.00 of 3. 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 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 October 18, 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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