Will AI replace Neurologists?
Work in Neurologists sits in the in-between: AI reaches some of it (~46% in theory) but is only measured doing about 0% today — part human, part machine.
O*NET-SOC 29-1217
How your 22 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~46%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~46%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 22 tasks, ratedBased on real task-level AI scores — click to collapse
- Prepare, maintain, or review records that include patients' histories, neurological examination findings, treatment plans, or outcomes.
- Interview patients to obtain information, such as complaints, symptoms, medical histories, and family histories.
- Perform or interpret the outcomes of procedures or diagnostic tests, such as lumbar punctures, electroencephalography, electromyography, and nerve conduction velocity tests.
- Order or interpret results of laboratory analyses of patients' blood or cerebrospinal fluid.
- Diagnose neurological conditions based on interpretation of examination findings, histories, or test results.
- Prescribe or administer medications, such as anti-epileptic drugs, and monitor patients for behavioral and cognitive side effects.
- Identify and treat major neurological system diseases and disorders, such as central nervous system infection, cranio spinal trauma, dementia, and stroke.
- Develop treatment plans based on diagnoses and on evaluation of factors, such as age and general health, or procedural risks and costs.
- Inform patients or families of neurological diagnoses and prognoses, or benefits, risks and costs of various treatment plans.
- Communicate with other health care professionals regarding patients' conditions and care.
- Counsel patients or others on the background of neurological disorders including risk factors, or genetic or environmental concerns.
- Interpret the results of neuroimaging studies, such as Magnetic Resonance Imaging (MRI), Single Photon Emission Computed Tomography (SPECT), and Positron Emission Tomography (PET) scans.
- Coordinate neurological services with other health care team activities.
- Refer patients to other health care practitioners as necessary.
- Advise other physicians on the treatment of neurological problems.
- Participate in continuing education activities to maintain and expand competence.
- Order supportive care services, such as physical therapy, specialized nursing care, and social services.
- Provide training to medical students or staff members.
- Supervise medical technicians in the performance of neurological diagnostic or therapeutic activities.
- Participate in neuroscience research activities.
- Examine patients to obtain information about functional status of areas, such as vision, physical strength, coordination, reflexes, sensations, language skills, cognitive abilities, and mental status.
- Determine brain death using accepted tests and procedures.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.