Will AI replace medical assistants?

Not on current evidence. Less than 30 minutes of a typical shift goes to tasks that AI or robots are doing today. The other 7h 41m (96%) stays with people. Separately, BLS expects about 12.9% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 1 of 20 tasks, about 19m of a typical shift. The biggest ones:

• Schedule appointments for patients. (19m a shift, AI mostly does it alone)

Not in workplaces like this one, based on a 2026 review of robot deployments. 7 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 5 physical tasks, no robot has shown it can do the work yet.

7h 41m of a typical shift, or 96%, 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:

• Interview patients to obtain medical information and measure their vital signs, weight, and height. (1h 17m a shift)
• Record patients' medical history, vital statistics, or information such as test results in medical records. (58m a shift)
• Help physicians examine and treat patients, handing them instruments or materials or performing such tasks as giving injections or removing sutures. (38m a shift)
• Prepare treatment rooms for patient examinations, keeping the rooms neat and clean. (32m a shift)
• Collect blood, tissue, or other laboratory specimens, log the specimens, and prepare them for testing. (32m 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% are in constant contact with other people
• 68% are exposed to disease or infection every day

We track 1 sourced company move that affects this job. Most recent:

• Sep 14, 2026: VA expands AI scribes after use in over 986,000 appointments (Rolling out)

For the 1 task in this job where AI shows up and timing data exists, a typical request takes about 53m for a person alone and about 28m 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:

• Schedule appointments for patients (about 53m alone, 28m with AI)

On Indeed, job postings in the Medical Technician sector are at 125% of their February 2020 level (all U.S. postings: 104%), down 2.6% from a year earlier, as of Oct 9, 2026. BLS separately expects about 110,000 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 $45,690 a year ($21.97 an hour), 10% below the median for all U.S. jobs ($50,980). Most people in this job earn between $36,050 and $59,310 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 12.9% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 942,000 jobs in 2035. It expects about 110,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 818,000 people in the U.S., roughly 0.53% of all workers (BLS, May 2025). That makes it the 48th largest of the 796 jobs on this site. BLS expects about 942,000 in 2035.

The most common requirement is a post-secondary certificate: about 45% of people in the job said so in the official O*NET survey. O*NET rates the job at level 3 of 5 for preparation, which usually means: vocational school or associate's 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, Service Orientation, Coordination, Speaking
• Get strong at the parts of the job that stay with people (listed above), which take 7h 41m of a typical shift
• Tools employers list: Microsoft Office software, Epic Systems, eClinicalWorks EHR software, Intuit QuickBooks, MEDITECH software
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

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:

• Registered Nurses (53m touched, $98k median pay)
• Licensed Practical and Licensed Vocational Nurses (0m touched, $64k median pay)

Each task carries its own evidence label. For this job: 1 observed in real AI use, 19 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.