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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Genetic Counselors are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Genetic counseling is labeled as "Mostly Resilient" because AI tools currently assist with routine tasks like paperwork and interpreting simple genetic test results, but they can't replace the human touch needed for gathering sensitive family histories and providing personalized emotional support. The role of a genetic counselor involves complex ethical decisions and empathy, which are uniquely human skills that AI hasn't mastered.
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Learn more about how you can thrive in this position
This role is mostly resilient
Genetic counseling is labeled as "Mostly Resilient" because AI tools currently assist with routine tasks like paperwork and interpreting simple genetic test results, but they can't replace the human touch needed for gathering sensitive family histories and providing personalized emotional support. The role of a genetic counselor involves complex ethical decisions and empathy, which are uniquely human skills that AI hasn't mastered.
Read full analysisAnalysis of Current AI Resilience
Genetic Counselors
Updated Quarterly • Last Update: 5/14/2026

Right now, AI is mostly augmenting genetic counselors rather than replacing them. A recent overview in the Journal of Genetic Counseling explains that large language models like ChatGPT show promise for supporting specific tasks [1] such as letter writing, triage, intake and follow-up, decision aids, and patient-facing chatbots — but the authors argue these tools "cannot adequately replace the personalized application of counseling theory, skills, knowledge, and decision-making provided by a human genetic counselor." The National Society of Genetic Counselors' bimonthly AI/ML newsletter [2] tracks how counselors are folding generative tools into pedigree drawing, chart prep, and patient education. A 2025 Cell Press review similarly framed generative AI as a "partner" for counselors [3] that can speed up information delivery while clinicians focus on the emotional side of care.
Patients agree: in a survey presented at NSGC's 2025 annual meeting, 80–90% of patients said AI chatbots and online tools cannot replace a genetic counselor [4], though they're useful for basic questions.

Adoption is moving steadily but cautiously. Demand is a huge push — the U.S. Bureau of Labor Statistics projects employment of genetic counselors to grow 9% from 2024 to 2034, much faster than average [5], and there simply aren't enough counselors to meet demand, so chatbots help fill gaps. But ethics, privacy, and regulation slow things down: the same Journal of Genetic Counseling review warns that LLM use raises "significant ethical, regulatory, and privacy concerns that are yet to be addressed" [1].
Brookings researchers similarly argue for protecting and increasing the role of people in care workplaces [6] as AI spreads. The good news for anyone considering this career: the human skills — empathy, navigating fear, supporting families through tough news — are exactly what AI struggles with, and they're projected to stay in high demand.

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They help people understand their genetic health by explaining DNA test results and advising on health risks and family planning.
Median Wage
$98,910
Jobs (2024)
4,000
Growth (2024-34)
+9.3%
Annual Openings
300
Education
Master's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Provide counseling to patient and family members by providing information, education, or reassurance.
Assess patients' psychological or emotional needs such as those relating to stress, fear of test results, financial issues, and marital conflicts to make referral recommendations or assist patients in...
Determine or coordinate treatment plans by requesting laboratory services, reviewing genetics or counseling literature, and considering histories or diagnostic data.
Provide genetic counseling in specified areas of clinical genetics such as obstetrics, pediatrics, oncology and neurology.
Evaluate or make recommendations for standards of care or clinical operations, ensuring compliance with applicable regulations, ethics, legislation, or policies.
Interpret laboratory results and communicate findings to patients or physicians.
Identify funding sources and write grant proposals for eligible programs or services.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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