Will AI replace diagnostic medical sonographers?

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 13.9% 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.

Not in workplaces like this one, based on a 2026 review of robot deployments. 2 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 8 physical tasks, no robot has shown it can do the work yet.

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:

• Operate ultrasound equipment to produce and record images of the motion, shape, and composition of blood, organs, tissues, or bodily masses, such as fluid accumulations. (2h 3m a shift)
• Observe screen during scan to ensure that image produced is satisfactory for diagnostic purposes, making adjustments to equipment as required. (1h 2m a shift)
• Select appropriate equipment settings and adjust patient positions to obtain the best sites and angles. (37m a shift)
• Prepare patient for exam by explaining procedure, transferring patient to ultrasound table, scrubbing skin and applying gel, and positioning patient properly. (37m a shift)
• Observe and care for patients throughout examinations to ensure their safety and comfort. (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% use their hands on tools, objects or controls more than half the time
• 97% work at arm's length or closer to other people
• 81% say dealing with the public is very or extremely important

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 6,000 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 $96,590 a year ($46.44 an hour), 89% above the median for all U.S. jobs ($50,980). Most people in this job earn between $67,820 and $129,370 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 13.9% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 105,000 jobs in 2035. It expects about 6,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 90,000 people in the U.S., roughly 0.06% of all workers (BLS, May 2025). That makes it the 292nd largest of the 796 jobs on this site. BLS expects about 105,000 in 2035.

The most common requirement is an associate's degree: about 47% 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: Science, Social Perceptiveness, Operation and Control, Time Management
• Get strong at the parts of the job that stay with people (listed above), which take 8h of a typical shift
• Tools employers list: eClinicalWorks EHR software, MEDITECH software, Microsoft Excel, Microsoft Office software

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:

• Cardiovascular Technologists and Technicians (57m touched, $74k median pay)
• Nuclear Medicine Technologists (1h 41m touched, $101k median pay)
• Respiratory Therapists (0m touched, $82k median pay)
• Radiation Therapists (1h 31m touched, $105k median pay)
• Radiologic Technologists and Technicians (57m touched, $80k median pay)

Each task carries its own evidence label. For this job: 1 with robots in real deployments, 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.