AI exposure by occupation, O*NET 29-2011.02
Will AI replace Cytotechnologists?
Cytotechnologists: AI can already handle 10 of 13 tasks; the work mostly needs a standard-tier model.
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Every task, scored
The 13 tasks O*NET 30.3 lists for Cytotechnologists, from most to least exposed. 10 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Document specimens by verifying patients' and specimens' information. | Estimated | Efficient | |
| Examine cell samples to detect abnormalities in the color, shape, or size of cellular components and patterns. | Estimated | Standard | |
| Submit slides with abnormal cell structures to pathologists for further examination. | Estimated | Standard | |
| Prepare and analyze samples, such as Papanicolaou (PAP) smear body fluids and fine needle aspirations (FNAs), to detect abnormal conditions. | Estimated | Standard | |
| Provide patient clinical data or microscopic findings to assist pathologists in the preparation of pathology reports. | Estimated | Standard | |
| Assist pathologists or other physicians to collect cell samples by fine needle aspiration (FNA) biopsy or other method. | Estimated | Efficient | |
| Prepare cell samples by applying special staining techniques, such as chromosomal staining, to differentiate cells or cell components. | Estimated | Efficient | |
| Attend continuing education programs that address laboratory issues. | Estimated | Standard | |
| Examine specimens to detect abnormal hormone conditions. | Estimated | Standard | |
| Examine specimens, using microscopes, to evaluate specimen quality. | Estimated | Standard | |
| Assign tasks or coordinate task assignments to ensure adequate performance of laboratory activities. | Estimated | Frontier | |
| Maintain effective laboratory operations by adhering to standards of specimen collection, preparation, or laboratory safety. | Estimated | Efficient | |
| Adjust, maintain, or repair laboratory equipment, such as microscopes. | Estimated | Efficient |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 13 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 13 of 13. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 93% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
BLS Occupational Employment and Wage Statistics (May 2025) publishes no national employment or wage figure for this O*NET occupation.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Cytogenetic Technologists 81% skill overlap, about 7 months to move Exposure53
- Histotechnologists 72% skill overlap, about 10 months to move Exposure68
- Histology Technicians 71% skill overlap, about 10 months to move Exposure51
- Medical and Clinical Laboratory Technologists 67% skill overlap, about 12 months to move Exposure52
- Medical and Clinical Laboratory Technicians 63% skill overlap, about 13 months to move Exposure32
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Cytotechnologists and AI
Will AI replace Cytotechnologists?
AI already handles 10 of the 13 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 64 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.
What is the AI exposure of Cytotechnologists?
64 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 13 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 13 are estimated from each task's O*NET work activity.
Which Cytotechnologists tasks can AI already do?
The tasks with the highest exposure are: Document specimens by verifying patients' and specimens' information; Examine cell samples to detect abnormalities in the color, shape, or size of cellular components and patterns; Submit slides with abnormal cell structures to pathologists for further examination. They are three of the 10 tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 93% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Cytotechnologists. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/cytotechnologists
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