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Will AI replace Genetic Counselors?

Assess individual or family risk for a variety of inherited conditions, such as genetic disorders and birth defects. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 29-9092.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
8%
Estimated share of representative tasks exposed to current AI capabilities.
Last updatedAugust 20, 2026
Evidence confidenceMedium
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Task automation shareⓘ
8%Automatable
Automatable8%
Augmentable51%
Hard to automate41%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Healthcare
Clinical & Care
Modeled pay midpoint$
$76,100/yr
Directional estimate — verify locally
Time until impact⌁
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
✦Clinical accountability and hands-on care31%
✦Patient trust and complex diagnosis27%
◇Interpret laboratory results and communicate findings to patients or physicians.18%
⚙Discuss testing options and the associated risks, benefits and limitations with patients and families to assist them in making informed decisions.12%
▥Analyze genetic information to identify patients or families at risk for specific disorders or syndromes.12%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with interpret laboratory results and communicate findings to patients or physicians..
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in clinical accountability and hands-on care.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Genetic Counselors.
02>AI can help with: Interpret laboratory results and communicate findings to patients or physicians.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Clinical accountability and hands-on care.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 8% is estimated task exposure—not a 8% chance of losing the job.
What AI can do
Interpret laboratory results and communicate findings to patients or physicians.LOW MATCH
Discuss testing options and the associated risks, benefits and limitations with patients and families to assist them in making informed decisions.LOW MATCH
Analyze genetic information to identify patients or families at risk for specific disorders or syndromes.LOW MATCH
How estimates work →
Your human moat
◆

Clinical accountability and hands-on care

HIGH MOAT

Combined with patient trust and complex diagnosis, this keeps a human in the loop.

Strength9.0
Similar-role comparison
RoleRisk
Genetic Counselors8%
Nurse Midwives8%
Registered Nurses8%
Nurse Anesthetists8%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The core work depends on presence, dexterity, or accountability.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is clinical accountability and hands-on care.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025O*NET 29-9092.00Share report
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Sources for this report

Official occupation tasks; timeline remains uncertain Scores are directional estimates and sources do not endorse this site’s exact percentage.

O*NET 29-9092.00 occupation profile ↗ILO Generative AI and Jobs 2025 ↗Scoring methodology →

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