Will AI replace preventive medicine physicians?

Not on current evidence. Less than 30 minutes of a typical shift goes to tasks that AI or robots are doing today. The other 8h (100%) stays with people. Separately, BLS expects about 3.4% more of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

8h of a typical shift, or 100%, 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:

• Direct or manage prevention programs in specialty areas such as aerospace, occupational, infectious disease, and environmental medicine. (1h 7m a shift)
• Document or review comprehensive patients' histories with an emphasis on occupation or environmental risks. (46m a shift)
• Supervise or coordinate the work of physicians, nurses, statisticians, or other professional staff members. (46m a shift)
• Perform epidemiological investigations of acute and chronic diseases. (41m a shift)
• Design or use surveillance tools, such as screening, lab reports, and vital records, to identify health risks. (36m 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:

• 94% talk face to face with others every day
• 74% say dealing with the public is very or extremely important
• 74% carry high or very high responsibility for other workers' safety

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 9,400 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 $265,930 a year ($127.85 an hour), 422% above the median for all U.S. jobs ($50,980). Most people in this job earn between $69,170 and $452,360 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 3.4% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 380,000 jobs in 2035. It expects about 9,400 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 343,000 people in the U.S., roughly 0.22% of all workers (BLS, May 2025). That makes it the 118th largest of the 796 jobs on this site. BLS expects about 380,000 in 2035.

The most common requirement is post-doctoral training: about 74% 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: Management of Personnel Resources, Coordination, Judgment and Decision Making, Monitoring
• Get strong at the parts of the job that stay with people (listed above), which take 8h of a typical shift
• Tools employers list: Microsoft Access, Microsoft Excel, Microsoft Office software, Microsoft PowerPoint, Microsoft Word

These use similar skills. 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:

• Clinical Nurse Specialists (31m touched, $98k median pay)
• Nurse Practitioners (59m touched, $132k median pay)
• Hospitalists (0m touched, $266k median pay)
• Neurologists (55m touched, $249k median pay)
• Advanced Practice Psychiatric Nurses (37m touched, $98k median pay)

Each task carries its own evidence label. For this job: 15 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.