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STRATUSWORKFORCE SCAN

Clinical Neuropsychologists

In short: today's best AI models could do about 76% 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 79% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 21% of the time, stays with people.

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Assess and diagnose patients with neurobehavioral problems related to acquired or developmental disorders of the nervous system, such as neurodegenerative disorders, traumatic brain injury, seizure disorders, and learning disabilities. Recommend treatment after diagnosis, such as therapy, medication, or surgery. Assist with evaluation before and after neurosurgical procedures, such as deep brain stimulation.

$110,840 a year (for the broader BLS group this job sits in).

A typical 40-hour week

Not yet reviewed task by task
  • AI could take on30 h
  • A person checks AI's work0 h
  • Desk work AI can't do yet1 h
  • Stays with people9 h

Clinical Neuropsychologists, now: of a 40-hour week, AI could take on 30 hours, 0 hours become checking its work, 1 hours are desk work it can't do yet, and 9 hours stay with people.

The largest pieces: Write or prepare detailed clinical neuropsychological reports, using data from psychological or neuropsychological tests, self-report measures, rating scales, direct observations, or interviews (about 5 h); Distinguish between psychogenic and neurogenic syndromes, two or more suspected etiologies of cerebral dysfunction, or between disorders involving complex seizures (about 5 h); Diagnose and treat neural and psychological conditions in medical and surgical populations, such as patients with early dementing illness or chronic pain with a neurological basis (about 4 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.

now
76%

of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

Kinds of work
  • 79%
  • 7%
  • 14%
0%

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.

Half the desk work within reach
Already

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 79% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change 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, 0%. With Claude Mythos Preview (early), measured in April 2026, 19%. Today's estimate: 76%.

0%25%50%75%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 0% within reacho3, April 2025: 0% within reachGPT-5, August 2025: 0% within reachGemini 3 Pro, November 2025: 1% within reachClaude Opus 4.5, November 2025: 1% within reachGPT-5.2, December 2025: 2% within reachClaude Opus 4.6, February 2026: 2% within reachClaude Mythos Preview (early), April 2026: 19% within reachToday (estimate), November 2026: 76% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

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, 0.016% went to this job's tasks in May 2026, the 335th largest of the 447 jobs that showed up at all; 1 of its 18 tasks showed up. Within each of Anthropic's methods, never across a change: 0.0024% to 0.0038% (released February and March 2025); none to 0.0012% (August 2025 to February 2026); 0.017% to 0.016% (April to May 2026).

0%0.01%0.02%20252026released February 2025: 0.0024%released March 2025: 0.0038%the week of Aug 4, 2025: nonethe week of Nov 13, 2025: 0.0037%the week of Feb 5, 2026: 0.0012%April 2026: 0.017%May 2026: 0.016%
Each dot is one release's sample. A line joins releases made by the same method; a change of method starts a new line. Point at a dot for its window.
Each release
ConversationsShareRankTasks seen
Released February 20250.0024%679 of 7081 of 18
Released March 20250.0038%608 of 7033 of 18
The week of Aug 4, 2025nonen/a0 of 18
The week of Nov 13, 20250.0037%602 of 6724 of 18
The week of Feb 5, 20260.0012%670 of 6771 of 18
April 20260.017%326 of 4341 of 18
May 20260.016%335 of 4471 of 18

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.

The tasks

Sorted by . 18 tasks from .

TaskKind
Conduct neuropsychological evaluations such as assessments of intelligence, academic ability, attention, concentration, sensorimotor function, language, learning, and memory.Done daily by most who do it. 14%4.2 h1.7 h to 6.7 hStays with people
Distinguish between psychogenic and neurogenic syndromes, two or more suspected etiologies of cerebral dysfunction, or between disorders involving complex seizures.Done daily by most who do it. 14%6.7 h2.5 h to 1.6 work days86%Half by now
Write or prepare detailed clinical neuropsychological reports, using data from psychological or neuropsychological tests, self-report measures, rating scales, direct observations, or interviews.Done daily by most who do it. 13%3.3 h1.7 h to 5 h100%Half by now
Diagnose and treat neural and psychological conditions in medical and surgical populations, such as patients with early dementing illness or chronic pain with a neurological basis.Done daily by most who do it. 11%5.8 h3.3 h to 1.3 work days99%Half by now
Diagnose and treat conditions involving injury to the central nervous system, such as cerebrovascular accidents, neoplasms, infectious or inflammatory diseases, degenerative diseases, head traumas, demyelinating diseases, and various forms of dementing illnesses.Done daily by most who do it. 10%2.5 h1.3 h to 4.2 h100%Half by now
Diagnose and treat psychiatric populations for conditions such as somatoform disorder, dementias, and psychoses.Done daily by most who do it. 7%5 h2.5 h to 1 work day99%Half by now
Diagnose and treat pediatric populations for conditions such as learning disabilities with developmental or organic bases.Done daily by most who do it. 7%4.2 h1.7 h to 5.8 h100%Half by now
Establish neurobehavioral baseline measures for monitoring progressive cerebral disease or recovery.Done daily by most who do it. 4%2.5 h1.3 h to 5 h100%Half by now
Compare patients' progress before and after pharmacologic, surgical, or behavioral interventions.Done more than weekly by most who do it. 3%3.3 h1.7 h to 6.7 h100%Half by now
Design or implement rehabilitation plans for patients with cognitive dysfunction.Done more than monthly by most who do it. 3%2.5 h50 min to 4.2 h100%Half by now
Interview patients to obtain comprehensive medical histories.Done daily by most who do it. AI observed on this task.3%50 min25 min to 1.7 hStays with people
Educate and supervise practicum students, psychology interns, or hospital staff.Done more than weekly by most who do it. 3%1.7 h50 min to 2.5 hStays 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). 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 Clinical Neuropsychologists is within reach of AI now?
An estimated 76% of the working time is within reach of AI models now and 79% 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 Clinical Neuropsychologists 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: Write or prepare detailed clinical neuropsychological reports, using data from psychological or neuropsychological tests, self-report measures, rating scales, direct observations, or interviews (100% of the task's time now); Distinguish between psychogenic and neurogenic syndromes, two or more suspected etiologies of cerebral dysfunction, or between disorders involving complex seizures (86% of the task's time now, 100% by the end of 2028); and Diagnose and treat neural and psychological conditions in medical and surgical populations, such as patients with early dementing illness or chronic pain with a neurological basis (99% of the task's time now).
Which tasks of Clinical Neuropsychologists stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Conduct neuropsychological evaluations such as assessments of intelligence, academic ability, attention, concentration, sensorimotor function, language, learning, and memory; Interview patients to obtain comprehensive medical histories; and Educate and supervise practicum students, psychology interns, or hospital staff. Together such tasks are about 21% of the working time.
Do people already use AI for the work of Clinical Neuropsychologists?
In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.016% went to this job's tasks, the 335th largest share of the 447 jobs that showed up; 1 of its 18 tasks appeared. 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 Clinical Neuropsychologists?
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 18 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.

How the estimates are made

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