A Geneticist carries a 26/100 AI replacement risk (low). AI can already handle routine documentation and reporting; Judgment in ambiguous situations still needs a person. Of exposed work, ~47% is automation vs 53% augmentation. Capability clock: ~4.8 years (2031). (ReplacedYet AI-Risk Index, 2026 data.)
Will AI replace a Geneticist?
AI replacement risk: 26/100 (low risk). Low exposure — this work resists automation and is hard for AI to replace.
Timeline: 5+ years / low. Of the exposed work, roughly 47% is likely to be automated and 53% augmented. $148.2M/yr of US wages sit in highly-exposed work for this role.
AI/software exposure: 40%. Robot/physical-automation exposure: 3%.
Capability clock: AI's measured task horizon reaches this role's core complexity (~64555h of human work) ~4.8 years (2031) — projected from METR's ~4.3-month doubling.
Pressure Index: 24/100 (low) — blends risk, demand trend, and real-world evidence. Job postings down 8% vs 2020.
AI tools targeting this role
- Microsoft Copilot — literature synthesis and data analysis
- Perplexity — research synthesis with sources
Layoff signal: low — AI accelerates research workflows, but experimental design and interpretation keep demand stable.
Tasks at risk
- Routine documentation and reporting — AI drafts and formats standard documents for a Geneticist automatically.
- Information lookup and summarization — LLMs retrieve and summarize the references a Geneticist relies on in seconds.
- Repetitive, rules-based tasks — Predictable parts of a Geneticist’s workflow are increasingly automated.
Tasks that still need a human
- Judgment in ambiguous situations — A Geneticist still applies human judgment where rules run out.
- Relationships and accountability — Trust and responsibility in a Geneticist’s role stay human.
Skills that protect you
- Work alongside AI tools — A Geneticist who directs AI outperforms one who competes with it.
- Specialize and deepen expertise — Harder-to-automate niches protect a Geneticist.
- Communication and stakeholder skills — The human side of a Geneticist’s job is the durable part.
Safer adjacent careers
Childcare Worker (5%) · Hairdresser (6%) · Nursing Assistant (6%) · Teaching Assistant (6%)
Related jobs
Microbiologist (26%) · Biochemist (26%) · Astronomer (26%) · Meteorologist (26%)
Frequently asked questions
- Will AI replace Geneticists?
- A Geneticist carries a 26/100 AI replacement risk (low). AI can already handle routine documentation and reporting; Judgment in ambiguous situations still needs a person. Of exposed work, ~47% is automation vs 53% augmentation. Capability clock: ~4.8 years (2031). (ReplacedYet AI-Risk Index, 2026 data.)
- Is a Geneticist job safe from AI?
- Relatively yes. A Geneticist scores 26/100 on the ReplacedYet AI-Risk Index — low risk — because the role leans on hands-on, in-person, or high-judgment work that AI struggles to automate.
- When will AI be able to do a Geneticist's job?
- Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~4.8 years (2031). That projects the capability — actual adoption usually lags it.
- How accurate is the Geneticist AI-risk score?
- It's a transparent, computed estimate — directionally useful, not a guarantee. It blends six labor and AI-exposure signals (O*NET, BLS, Eloundou task exposure, AIOE, the Anthropic Economic Index, and physical-automation data). See the methodology page for the full formula.
Category: Science · Methodology · Download the dataset
ReplacedYet AI-Risk Index. Last updated 2026-06-27. AI-estimated and directionally useful, not a guarantee.