Orthotists and Prosthetists
In short: today's best AI models could do about 28% 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 41% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 57% of the time, stays with people.
Design, measure, fit, and adapt orthopedic braces, appliances or prostheses, such as limbs or facial parts for patients with disabling conditions.
9,390 people do this job in the US. $81,110 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on11 h
- A person checks AI's work0 h
- Desk work AI can't do yet6 h
- Stays with people23 h
Orthotists and Prosthetists, now: of a 40-hour week, AI could take on 11 hours, 0 hours become checking its work, 6 hours are desk work it can't do yet, and 23 hours stay with people.
The largest pieces: Design orthopedic and prosthetic devices, based on physicians' prescriptions and examination and measurement of patients (about 7 h); Maintain patients' records (about 2 h); Select materials and components to be used, based on device design (about 2 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.
- 43%
- 1%
- 56%
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.
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, 1%. With Claude Mythos Preview (early), measured in April 2026, 18%. Today's estimate: 28%.
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, no reportable share went to this job's tasks in May 2026; 0 of its 15 tasks showed up. Within each of Anthropic's methods, never across a change: none to 0.0018% (released February and March 2025).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | none | n/a | 0 of 15 |
| Released March 2025 | 0.0018% | 680 of 703 | 1 of 15 |
| The week of Aug 4, 2025 (released September 2025) | none | n/a | 0 of 15 |
| The week of Nov 13, 2025 (released January 2026) | none | n/a | 0 of 15 |
| The week of Feb 5, 2026 (released March 2026) | none | n/a | 0 of 15 |
| April 2026 (released June 2026) | none | n/a | 0 of 15 |
| May 2026 (released June 2026) | none | n/a | 0 of 15 |
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 59% of this job's working time as physical work. For 7% of the working time, a robot has been shown doing most of the task somewhere: 7% in a purpose-built cell. 0.07 of 3, the 545th highest of the 923 jobs.
- Not physical 41%
- No robot shown 52%
- In a purpose-built cell 7%
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.
The tasks
Sorted by . 15 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Design orthopedic and prosthetic devices, based on physicians' prescriptions and examination and measurement of patients.Done daily by most who do it. | 17% | 2.1 h50 min to 4.2 h | 100%Half by now | |
| Research new ways to construct and use orthopedic and prosthetic devices.Done more than monthly by most who do it. Robots: no robot shown. Anthropic's rating. | 16% | 2.1 work days3.3 h to 1.7 work weeks | 15%Half by Oct 2027 | |
| Construct and fabricate appliances, or supervise others constructing the appliances.Done daily by most who do it. Robots: in a purpose-built cell, MyFit TT (powder-bed 3D printed socket) (Ottobock) (sold). Anthropic's rating. | 16% | 3.3 h1.7 h to 1 work day | Stays with people | |
| Fit, test, and evaluate devices on patients, and make adjustments for proper fit, function, and comfort.Done hourly or more by most who do it. Robots: no robot shown. Anthropic's rating. | 10% | 50 min25 min to 1.7 h | Stays with people | |
| Examine, interview, and measure patients to determine their appliance needs and to identify factors that could affect appliance fit.Done several times a day by most who do it. Robots: no robot shown. Anthropic's rating. | 9% | 50 min25 min to 1.3 h | Stays with people | |
| Repair, rebuild, and modify prosthetic and orthopedic appliances.Done several times a day by most who do it. Robots: no robot shown. Anthropic's rating. | 8% | 1.3 h25 min to 3.3 h | Stays with people | |
| Maintain patients' records.Done hourly or more by most who do it. | 5% | 17 min8 min to 38 min | 100%Half by now | |
| Train and supervise support staff, such as orthopedic and prosthetic assistants and technicians.Done more than weekly by most who do it. | 5% | 50 min25 min to 2.5 h | Stays with people | |
| Instruct patients in the use and care of orthoses and prostheses.Done several times a day by most who do it. | 4% | 25 min13 min to 50 min | Stays with people | |
| Select materials and components to be used, based on device design.Done daily by most who do it. | 4% | 25 min13 min to 50 min | 100%Half by now | |
| Make and modify plaster casts of areas to be fitted with prostheses or orthoses to guide the device construction process.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 3% | 1.3 h38 min to 2.5 h | Stays with people | |
| Confer with physicians to formulate specifications and prescriptions for orthopedic or prosthetic devices.Done daily by most who do it. | 1% | 25 min13 min to 50 min | 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.
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).
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 Orthotists and Prosthetists is within reach of AI now?
- An estimated 28% of the working time is within reach of AI models now and 41% by the end of 2028, on METR's long-run pace at four in five (36% to 43% 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 Orthotists and Prosthetists 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: Design orthopedic and prosthetic devices, based on physicians' prescriptions and examination and measurement of patients (100% of the task's time now); Maintain patients' records (100% of the task's time now); and Select materials and components to be used, based on device design (100% of the task's time now).
- Which tasks of Orthotists and Prosthetists stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Construct and fabricate appliances, or supervise others constructing the appliances; Fit, test, and evaluate devices on patients, and make adjustments for proper fit, function, and comfort; and Examine, interview, and measure patients to determine their appliance needs and to identify factors that could affect appliance fit. Together such tasks are about 57% of the working time.
- Do people already use AI for the work of Orthotists and Prosthetists?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. 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 Orthotists and Prosthetists?
- Anthropic's robot exposure rating (September 2026) finds 59% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 7% of the working time. Its index is 0.07 of 3. One example: MyFit TT (powder-bed 3D printed socket) for "construct and fabricate appliances, or supervise others constructing the appliances". 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 15 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, 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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