Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Identify funding sources and write grant proposals for eligible programs or services. · 0.8%
Occupation · SOC 29-9092.00
Assess individual or family risk for a variety of inherited conditions, such as genetic disorders and birth defects. Provide information to other healthcare providers or to individuals and families concerned with the risk of inherited conditions. Advise individuals and families to support informed decisionmaking and coping methods for those at risk. May help conduct research related to genetic conditions or genetic counseling.
Also called: Certified Genetic Counselor · Genetic Counselor · Prenatal and Pediatric Genetic Counselor · Reproductive Genetic Counseling Coordinator · Medical Science Liaison · Cancer Genetic Counselor · Cancer Program Consultant · Chromosomal Disorders Counselor · Clinical Reviewer · Genetic Coordinator · Genetic Counseling Medical Specialist · Genetics Counselor
Job family: Healthcare Practitioners and Technical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-29-9092-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
94th-percentile task overlap — yet about 300 openings a year (+9.3% projected, BLS), and observed AI use leans 5194% copilot, not hand-off (AEI) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 100th | 1.5 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 77th | 0.9 | |
| AI assistant applicability (Microsoft) High | 90th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Interpret laboratory results and communicate findings to patients or physicians. | 5.4% | |
| Read current literature, talk with colleagues, or participate in professional organizations or conferences to keep abreast of developments in genetics. | 1.5% | |
| Explain diagnostic procedures such as chorionic villus sampling (CVS), ultrasound, fetal blood sampling, and amniocentesis. | 0.7% | |
| Evaluate or make recommendations for standards of care or clinical operations, ensuring compliance with applicable regulations, ethics, legislation, or policies. | 0.5% | |
| Identify funding sources and write grant proposals for eligible programs or services. | 0.3% | |
| Analyze genetic information to identify patients or families at risk for specific disorders or syndromes. | 0.3% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +9.3% by 2034 |
| Projected annual openings | 300 |
| Employment 2024 → 2034 | 4,000 → 4,300 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Health Professionals Not Elsewhere Classified · 2269 | 20% | Not exposed |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 51.9% working with AI · 20.7% handed to AI |
| Most common way people use AI here | Learning · you ask AI to explain or teach |
| Typical AI autonomy | 3.5 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 19.6% |
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Interpret laboratory results and communicate findings to patients or physicians. | Learning | 1.1% |
| Read current literature, talk with colleagues, or participate in professional organizations or conferences to keep abreast of developments in genetics. | Learning | 0.9% |
| Identify funding sources and write grant proposals for eligible programs or services. | Directive | 0.8% |
| Provide counseling to patient and family members by providing information, education, or reassurance. | Learning | 0.4% |
| Prepare or provide genetics-related educational materials to patients or medical personnel. | Learning | 0.4% |
| Explain diagnostic procedures such as chorionic villus sampling (CVS), ultrasound, fetal blood sampling, and amniocentesis. | Learning | 0.4% |
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Identify funding sources and write grant proposals for eligible programs or services. | 100.0% | |
| Provide counseling to patient and family members by providing information, education, or reassurance. | 100.0% | |
| Explain diagnostic procedures such as chorionic villus sampling (CVS), ultrasound, fetal blood sampling, and amniocentesis. | 97.4% | |
| Read current literature, talk with colleagues, or participate in professional organizations or conferences to keep abreast of developments in genetics. | 96.7% | |
| Prepare or provide genetics-related educational materials to patients or medical personnel. | 92.3% | |
| Interpret laboratory results and communicate findings to patients or physicians. | 77.1% |
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
Help me interpret laboratory results and communicate findings to patients or physicians. From: Interpret laboratory results and communicate findings to patients or physicians. · 1.1% of measured AI use · learning
Help me read current literature, talk with colleagues, or participate in professional organizations or conferences to keep abreast of developments in genetics. From: Read current literature, talk with colleagues, or participate in professional organizations or conferences to keep abreast of developments in genetics. · 0.9% of measured AI use · learning
Help me identify funding sources and write grant proposals for eligible programs or services. From: Identify funding sources and write grant proposals for eligible programs or services. · 0.8% of measured AI use · directive
Help me provide counseling to patient and family members by providing information, education, or reassurance. From: Provide counseling to patient and family members by providing information, education, or reassurance. · 0.4% of measured AI use · learning
All 19 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Biology | 4.8 | |
| Psychology | 4.6 | |
| Medicine and Dentistry | 4.4 | |
| Therapy and Counseling | 4.3 | |
| English Language | 4.1 | |
| Customer and Personal Service | 3.9 | |
| Mathematics | 3.7 | |
| Sociology and Anthropology | 3.4 | |
| Education and Training | 3.4 |
| Written Comprehension | 4.3 | |
| Deductive Reasoning | 4.1 | |
| Oral Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Written Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Inductive Reasoning | 4.0 | |
| Information Ordering | 3.9 | |
| Speech Recognition | 3.9 | |
| Speech Clarity | 3.8 | |
| Near Vision | 3.4 | |
| Fluency of Ideas | 3.1 | |
| Originality | 3.1 | |
| Category Flexibility | 3.1 | |
| Mathematical Reasoning | 3.1 | |
| Flexibility of Closure | 3.1 |
| Reading Comprehension | 4.1 | |
| Active Listening | 4.0 | |
| Writing | 3.9 | |
| Speaking | 3.9 | |
| Critical Thinking | 3.9 | |
| Active Learning | 3.9 | |
| Science | 3.3 | |
| Learning Strategies | 3.0 |
| Complex Problem Solving | 4.0 | |
| Social Perceptiveness | 3.9 | |
| Judgment and Decision Making | 3.3 | |
| Instructing | 3.1 | |
| Service Orientation | 3.1 | |
| Systems Analysis | 3.1 | |
| Time Management | 3.1 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Biological and Biomedical Sciences , Health Professions and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Master's Degree | 100.0% |
The interests and personal qualities O*NET associates with people who do this work.
| Attention to Detail | 10.0 | |
| Integrity | 9.0 | |
| Cautiousness | 8.0 | |
| Intellectual Curiosity | 7.0 | |
| Cooperation | 6.0 | |
| Social Orientation | 5.0 | |
| Self-Control | 4.0 |
| Health Care Service | 6.1 | |
| Teaching/Education | 6.0 | |
| Life Science | 5.7 | |
| Medical Science | 5.7 | |
| Professional Advising | 5.7 | |
| Social Service | 5.4 |
| Investigative | 5.9 | |
| Social | 5.5 | |
| Conventional | 3.9 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $78,680 |
| 25th percentile | $87,060 |
| Median (50th) | $98,910 |
| 75th percentile | $113,220 |
| 90th percentile | $137,780 |
| People employed | 3,510 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Health Care and Social Assistance · Sector | 2,900 | $99,210 |
| Educational Services · Sector | 240 | $95,660 |
| Professional, Scientific, and Technical Services · Sector | 120 | $93,770 |
| Management of Companies and Enterprises · Sector | 70 | $125,960 |
| Manufacturing · Sector | — | $75,720 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Health Care and Social Assistance · Sector | 5.51× | 2,900 |
| Educational Services · Sector | 0.77× | 240 |
| Professional, Scientific, and Technical Services · Sector | 0.49× | 120 |
Part of the Healthcare & Human Services career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Genetic Counselors — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 32nd percentile of 427 international occupations.
Genetic Counselors show 94th-percentile AI task overlap — and about 300 annual U.S. openings
Genetic Counselors show 94th-percentile AI task overlap — and about 300 annual U.S. openings • Genetic Counselors rank in the 94th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 300 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be growing fast (+9.3%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $98,910, across about 3,510 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 52% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Genetic Counselors". https://singulariki.com/roles/role-29-9092-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Genetic Counselors." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-29-9092-00
Singulariki. (2026). Genetic Counselors. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-29-9092-00
@misc{singulariki-role-29-9092-00,
title = {Genetic Counselors},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-29-9092-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.