Will AI replace cytotechnologists?

Some tasks are already handled by AI or machines; the rest still needs a person. About 3h 38m of an 8-hour shift goes to tasks that AI or robots largely take over. The breakdown: 3h 7m that AI mostly does alone, 31m that robots have done in real workplaces. The other 4h 22m (55%) 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 13 tasks, about 3h 7m of a typical shift. The biggest ones:

• Examine cell samples to detect abnormalities in the color, shape, or size of cellular components and patterns. (3h 7m a shift, AI mostly does it alone)

For some tasks, yes. Robots have done 1 of this job's tasks in workplaces like this one, about 31m of a typical shift. 5 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 2 physical tasks, no robot has shown it can do the work yet.

• Examine specimens, using microscopes, to evaluate specimen quality. (31m a shift; e.g. Hologic Genius Digital Diagnostics System, in use)

4h 22m of a typical shift, or 55%, 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 and analyze samples, such as Papanicolaou (PAP) smear body fluids and fine needle aspirations (FNAs), to detect abnormal conditions. (1h 27m a shift)
• Document specimens by verifying patients' and specimens' information. (37m a shift)
• Maintain effective laboratory operations by adhering to standards of specimen collection, preparation, or laboratory safety. (31m a shift)
• Provide patient clinical data or microscopic findings to assist pathologists in the preparation of pathology reports. (25m a shift)
• Submit slides with abnormal cell structures to pathologists for further examination. (19m 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:

• 86% use their hands on tools, objects or controls more than half the time
• 73% say a mistake would be very or extremely serious
• 67% talk face to face with others every day

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 50% 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: Reading Comprehension, Critical Thinking, Active Listening, Complex Problem Solving
• Get strong at the parts of the job that stay with people (listed above), which take 4h 22m of a typical shift
• Tools employers list: Ansible software, MEDITECH software, Microsoft Excel, Microsoft Office software, Microsoft Word
• 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:

• Histology Technicians (32m touched, $63k median pay)
• Cytogenetic Technologists (25m touched, $63k median pay)
• Histotechnologists (1h 46m touched, $63k median pay)

Each task carries its own evidence label. For this job: 2 observed in real AI use, 1 with robots in real deployments, 10 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.