Mostly Resilient
Last Update: 8/30/2026
AI Resilience Score for Genetic Counselors:
56.6%
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
AI Resilience Report forGenetic Counselors
$100,040 median salary•300 annual openings•SOC Code: 29-9092.00
Genetic Counselors are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Genetic counseling earns a "Mostly Resilient" label because the heart of the job, sitting with patients during some of the most stressful moments of their lives and helping them understand complex results, requires empathy, ethical judgment, and psychological support that AI simply cannot replicate. On the back-end side, AI is already taking over routine tasks like matching genetic variants to treatments and streamlining lab workflows, which actually frees counselors to spend more time on the complex, human-centered work they do best.
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Genetic counseling earns a "Mostly Resilient" label because the heart of the job, sitting with patients during some of the most stressful moments of their lives and helping them understand complex results, requires empathy, ethical judgment, and psychological support that AI simply cannot replicate. On the back-end side, AI is already taking over routine tasks like matching genetic variants to treatments and streamlining lab workflows, which actually frees counselors to spend more time on the complex, human-centered work they do best.
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Genetic Counselors
Updated Quarterly
How is AI changing Genetic Counselors jobs?
Right now, AI is mostly augmenting genetic counselors, not replacing them. The National Society of Genetic Counselors' 2026 position statement says that AI should "complement, not replace, the essential human elements of genetic counseling" [1] and that counselors stay responsible for verifying accuracy and validating clinical interpretations. A May 2026 survey of 217 counselors and students found that most (76.5%) use general AI chatbots outside clinical settings, but only 8.8% use or recommend clinical-genetics chatbots in practice, mainly for contacting at-risk family members and patient education [2].
Confidence was highest for gathering family history and lowest for disclosing uncertain or positive test results. In laboratories, a 2026 Journal of Applied Laboratory Medicine review describes AI automating routine tasks and optimizing workflows so counselors can focus on complex inquiries, test selection, and helping providers interpret results [3]. At a broader level, a 2026 UPMC/KLAS report notes AI is now used to automate the labor-intensive matching of genetic variants to clinical treatments, a process that was largely manual just a few years ago [4].
Sources
How fast is AI adoption growing for Genetic Counselors?
Adoption is moving quickly on the "back office" side but slowly for patient-facing counseling. A big driver is workforce demand — the U.S. Bureau of Labor Statistics projects genetic counselor employment growing 10% from 2025-35, "much faster than average" [5], and Genome Medical's Colleen Caleshu notes at NSGC 2025 that many people who need genetic counseling can't currently access it, so AI can help fill access gaps while human counselors handle complex cases [6]. Slowing factors include ethical and safety concerns — the medRxiv survey found top worries were patient comprehension (85.6%) and accuracy of information (74.4%), with only 8.2% having received AI training [2].
The empathy, psychological support, and ethical judgment at the core of counseling remain deeply human skills — reassuring news for students considering this career.
Sources
Will AI replace Genetic Counselors?
No. We don't think AI will replace Genetic Counselors, though we do expect the job to change.
That view is reflected in our 56.6% AI Resilience Score. Right now, AI is mostly handling the routine, time-consuming side of the work: matching genetic variants to clinical treatments, automating lab workflows, and supporting patient education (academic.oup.com, hitconsultant.net). That frees counselors to focus on the harder, more human parts of the job.
And those human parts are genuinely hard to automate. Delivering uncertain or positive test results, providing psychological support, and making ethical judgment calls are exactly where AI falls short. A 2026 survey found that counselors felt least confident letting AI handle disclosure of difficult results, and the top concerns were patient comprehension and accuracy [2]. The National Society of Genetic Counselors is clear that AI should complement counselors, not replace them, and that counselors remain responsible for validating clinical interpretations [1].
The job market picture is moderate but real. The BLS projects 10% employment growth through 2035, faster than average, partly because demand for genetic counseling already outpaces the available workforce [5]. AI may actually help here by expanding access, while human counselors take on the complex cases that most need them.
Sources
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Latest AI news for Genetic Counselors
These articles highlight the evolving role of AI in genetic counseling. For instance, Colleen Caleshu discusses how AI may enhance genetic counselors' work rather than replace it, emphasizing the need for human insight in patient interactions. The Precision4ME program showcases AI's potential in cancer screenings, suggesting genetic counselors could leverage such technology for more accurate risk assessments. Embracing AI tools can empower genetic counselors to focus on personalized care, ensuring a resilient future in this field amidst technological advancements.
New AI-powered cancer screening program is on duty at Providence’s OC hospitals
www.ocregister.com • 8/20/2026
It's thanks to Providence's Orange County-based pathology and genetics screening program — dubbed Precision4ME — that doctors were able to...
Artificial intelligence for breast cancer management - Communications Medicine
www.nature.com • 1/3/2026
Artificial intelligence is transforming breast cancer management through various machine learning applications. Artificial intelligence...
Colleen Caleshu, MS, CGC, on Whether AI Will Replace Genetic Counselors
www.cgtlive.com • 11/12/2025
The senior director of research and real world data at Genome Medical discussed multiple perspectives on how AI may take over some of the...
Job titles of the future: AI embryologist
www.technologyreview.com • 10/22/2025
Embryologists are the scientists behind the scenes of in vitro fertilization who oversee the development and selection of embryos,...
AI-powered CRISPR could lead to faster gene therapies, Stanford Medicine study finds
med.stanford.edu • 9/16/2025
CRISPR-GPT, a large language model developed at Stanford Medicine, is accelerating gene-editing processes and increasing accessibility to...
More Career Info
Career: Genetic Counselors
They help people understand their genetic health by explaining DNA test results and advising on health risks and family planning.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$100,040
Jobs (2025)
4,200
Growth (2025-35)
+10.4%
Annual Openings
300
Education
Master's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
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 i...
2
Provide counseling to patient and family members by providing information, education, or reassurance.
3
Provide genetic counseling in specified areas of clinical genetics, such as obstetrics, pediatrics, oncology and neurology.
4
Discuss testing options and the associated risks, benefits and limitations with patients and families to assist them in making informed decisions.
5
Evaluate or make recommendations for standards of care or clinical operations, ensuring compliance with applicable regulations, ethics, legislation, or policies.
6
Design and conduct genetics training programs for physicians, graduate students, other health professions or the general community.
7
Engage in research activities related to the field of medical genetics or genetic counseling.
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.
