Will AI replace histotechnologists?

Unlikely, though parts of the work are changing. About 1h 46m of an 8-hour shift goes to tasks touched by robots. The breakdown: 13m that AI mostly does alone, 1h 34m that robots have done in real workplaces. The other 6h 14m (78%) stays with people. Separately, BLS expects about 2.7% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 1 of 16 tasks, about 13m of a typical shift. The biggest ones:

• Identify tissue structures or cell components to be used in the diagnosis, prevention, or treatment of diseases. (12m a shift, AI mostly does it alone)

For some tasks, yes. Robots have done 2 of this job's tasks in workplaces like this one, about 1h 34m of a typical shift. 9 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 1 physical task, no robot has shown it can do the work yet.

• Embed tissue specimens into paraffin wax blocks, or infiltrate tissue specimens with wax. (56m a shift; e.g. Tissue-Tek AutoTEC a120 + Paraform cassettes, in use)
• Examine slides under microscopes to ensure tissue preparation meets laboratory requirements. (37m a shift; e.g. AIRAQc (with clinical WSI scanners), in use)

6h 14m of a typical shift, or 78%, 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:

• Cut sections of body tissues for microscopic examination, using microtomes. (1h 34m a shift)
• Stain tissue specimens with dyes or other chemicals to make cell details visible under microscopes. (1h 9m a shift)
• Compile materials for distribution to pathologists, such as surgical working drafts, requisitions, and slides. (37m a shift)
• Operate computerized laboratory equipment to dehydrate, decalcify, or microincinerate tissue samples. (31m a shift)
• Perform procedures associated with histochemistry to prepare specimens for immunofluorescence or microscopy. (31m 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:

• 95% use their hands on tools, objects or controls more than half the time
• 76% say a mistake would be very or extremely serious
• 62% carry high or very high responsibility for other workers' safety

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 21,000 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 $62,930 a year ($30.26 an hour), 23% above the median for all U.S. jobs ($50,980). Most people in this job earn between $38,910 and $100,990 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer.

BLS projects growth of 2.7% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 352,000 jobs in 2035. It expects about 21,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 333,000 people in the U.S., roughly 0.21% of all workers (BLS, May 2025). That makes it the 119th largest of the 796 jobs on this site. BLS expects about 352,000 in 2035.

The most common requirement is a bachelor's degree: about 43% of people in the job said so in the official O*NET survey. O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor'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, Operations Monitoring, Judgment and Decision Making, Active Learning
• Get strong at the parts of the job that stay with people (listed above), which take 6h 14m of a typical shift
• Tools employers list: MEDITECH software, Microsoft Access, Microsoft Excel, Microsoft Office software, Microsoft Outlook
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

Yes. Occupational experts recently added these to the official task list, a sign of how the work itself is shifting. New tasks aren't rated for AI or robots yet:

• Select and maintain controls for stains.

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:

• Histology Technicians (32m touched, $63k median pay)
• Cytogenetic Technologists (25m touched, $63k median pay)
• Medical and Clinical Laboratory Technicians (56m touched, $63k median pay)

Each task carries its own evidence label. For this job: 1 observed in real AI use, 2 with robots in real deployments, 13 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.