Will AI replace neurologists?

Unlikely, though parts of the work are changing. About 55m of an 8-hour shift goes to tasks touched by AI that people use as a helper. The other 7h 5m (89%) stays with people. Separately, BLS expects about 6.4% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 1 of 24 tasks, about 55m of a typical shift. The biggest ones:

• Interview patients to obtain information, such as complaints, symptoms, medical histories, and family histories. (54m a shift, people use AI to help)

Not in workplaces like this one, based on a 2026 review of robot deployments. For 6 physical tasks, no robot has shown it can do the work yet.

7h 5m of a typical shift, or 89%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Prepare, maintain, or review records that include patients' histories, neurological examination findings, treatment plans, or outcomes. (1h 4m a shift)
• 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. (45m a shift)
• Perform or interpret the outcomes of procedures or diagnostic tests, such as lumbar punctures, electroencephalography, electromyography, and nerve conduction velocity tests. (35m a shift)
• Communicate with other health care professionals regarding patients' conditions and care. (30m a shift)
• Diagnose neurological conditions based on interpretation of examination findings, histories, or test results. (25m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 100% talk face to face with others every day
• 91% are in constant contact with other people
• 90% say a mistake would be very or extremely serious

For the 1 task in this job where AI shows up and timing data exists, a typical request takes about 26m for a person alone and about 10m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Interview patients to obtain information, such as complaints, symptoms, medical histories, and family histories (about 26m alone, 10m with AI)

On Indeed, job postings in the Physicians & Surgeons sector are at 202% of their February 2020 level (all U.S. postings: 104%), up 8.8% from a year earlier, as of Oct 9, 2026. BLS separately expects about 300 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $248,560 a year ($119.50 an hour), 388% above the median for all U.S. jobs ($50,980). Most people in this job earn between $83,370 and $450,780 or more a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 6.4% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 12,000 jobs in 2035. It expects about 300 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 11,000 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 658th largest of the 796 jobs on this site. BLS expects about 12,000 in 2035.

The most common requirement is post-doctoral training: about 64% of people in the job said so in the official O*NET survey. O*NET rates the job at level 5 of 5 for preparation, which usually means: graduate degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Social Perceptiveness, Science, Complex Problem Solving, Monitoring
• Get strong at the parts of the job that stay with people (listed above), which take 7h 5m of a typical shift
• Tools employers list: Epic Systems, eClinicalWorks EHR software, Microsoft Excel, Microsoft Office software, Microsoft PowerPoint
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Hospitalists (0m touched, $266k median pay)
• Physical Medicine and Rehabilitation Physicians (0m touched, $266k median pay)
• Preventive Medicine Physicians (0m touched, $266k median pay)
• Optometrists (0m touched, $137k median pay)
• Midwives (5m touched, $66k median pay)

Each task carries its own evidence label. For this job: 1 observed in real AI use, 23 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.