As of August 2026, Geneticists has an AI-exposure score of 61/100 (Elevated exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Geneticists

61/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 68% of the roles we track. Median pay ~US$98,920. About 4,800 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Geneticists?

No exposure score can predict whether AI will replace this role. The 61/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in the Elevated exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Research and study the inheritance of traits at the molecular, organism or population level. May evaluate or treat patients with genetic disorders.

Common titles
Cardiovascular GeneticistMedical GeneticistResearch ScientistScientist
O*NET job-zone preparation
Job Zone 5 · Extensive Preparation Needed Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree). Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Reading ComprehensionScienceActive LearningComplex Problem SolvingCritical ThinkingSpeaking
Work context
Indoor controlled settingDecision latitudeFrequent contact with othersRepeating tasks

Source: O*NET 29.1 exact occupation - Geneticists, SOC 19-1029.03. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Geneticists tasks, by AI exposure

Automatable

No automatable tasks identified for this role - its individually-assessed tasks split 55% augmentable / 45% durable.

Augmentable
  • Verify that cytogenetic, molecular genetic, and related equipment and instrumentation is maintained in working condition to ensure accuracy and quality of experimental results.
  • Evaluate genetic data by performing appropriate mathematical or statistical calculations and analyses.
9 more augmentable tasks locked in the report.
Durable
  • Collaborate with biologists and other professionals to conduct appropriate genetic and biochemical analyses.
  • Develop protocols to improve existing genetic techniques or to incorporate new diagnostic procedures.
7 more durable tasks locked in the report.

We analyzed all 20 Geneticists tasks - 11 augmentable and 9 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

No evidence-backed lower-exposure match appears in this O*NET adjacency set. The adjacent paths below remain useful comparisons; the strongest resilience moves are task-level.

Molecular and Cellular Biologists
80% skills overlap; 1 point higher - similar exposure within the 5-point model resolution; Elevated band; ~US$98,920
View path
62
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Verify that cytogenetic, molecular genetic, and related equipment and instrumentation is maintained in working condition to ensure accuracy and quality of experimental results.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Geneticists - median pay by US state (BLS OEWS, USD)

California: US$113,530New York: US$104,120Florida: US$83,780Texas: US$80,870

Median annual wage, in USD. US national: US$98,920. More states are being added.

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