Gini Loh System Tools

AI Automation Index

Will AI Replace Geneticists?

Task-level automation exposure for Geneticists: 24 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

52% weighted task index

24 of 24 tasks scored

Median Salary

$98,920 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Medium

55,850 people hold this job — size, not growth

Projected 2025–35

+4.7% employment change

4,300 openings a year · BLS line item

Pay by state

BLS OEWS publishes 52 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$63,290 – $121,680

Highest medians

Maryland $121,680
California $113,530
Delaware $113,400
Connecticut $111,940
Washington $108,110

Lowest medians

Missouri $63,290
Louisiana $69,590
South Dakota $73,920
Nevada $74,210
Puerto Rico $76,400

State figures come from the 19-1029 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 52%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 0%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 50%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 15%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 8/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

24 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 32%

7 tasks

Medium exposure (≥ 35%) 59%

15 tasks

Low exposure (below 35%) 10%

2 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#16828 · Core · 32% automatable

Supervise or direct the work of other geneticists, biologists, technicians, or biometricians working on genetics research projects.

interpersonal — Technical supervision requires judgment and accountability

Supervise scientific or technical personnel.
#16839 · Core · 48% automatable

Plan or conduct basic genomic and biological research related to areas such as regulation of gene expression, protein interactions, metabolic networks, and nucleic acid or protein complexes.

decision support — Research planning needs domain expertise and feasibility

Research genetic characteristics or expression. Plan biological research.
#16831 · Core · 72% automatable

Prepare results of experimental findings for presentation at professional conferences or in scientific journals.

text generation — Reports drafted; presentations need human delivery

Prepare scientific or technical reports or presentations.
#16832 · Core · 82% automatable

Maintain laboratory notebooks that record research methods, procedures, and results.

data analysis — Record research or operational data into schemas

Record research or operational data.
#16817 · Core · 60% automatable

Write grants and papers or attend fundraising events to seek research funds.

text generation — Draft proposal and grant documents for review

Prepare proposal documents or grant applications.
#16830 · Core · 82% automatable

Search scientific literature to select and modify methods and procedures most appropriate for genetic research goals.

information retrieval — AI can search and summarize literature, human curates

Review professional literature to maintain professional knowledge.
#16829 · Core · 70% automatable

Review, approve, or interpret genetic laboratory results.

data analysis — Interprets data; domain expert validates meaning

Interpret research or operational data.
#16827 · Core · 50% automatable

Attend clinical and research conferences and read scientific literature to keep abreast of technological advances and current genetic research findings.

information retrieval — AI can search and summarize literature, human curates

Review professional literature to maintain professional knowledge. Attend conferences or workshops to maintain professional knowledge.
#16834 · Core · 45% automatable

Evaluate genetic data by performing appropriate mathematical or statistical calculations and analyses.

data analysis — Bioinformatics aided; wet-lab work human

Research genetic characteristics or expression.
#16840 · Core · 45% automatable

Analyze determinants responsible for specific inherited traits, and devise methods for altering traits or producing new traits.

data analysis — Bioinformatics aided; wet-lab work human

Research genetic characteristics or expression.
#16833 · Core · 35% automatable

Extract deoxyribonucleic acid (DNA) or perform diagnostic tests involving processes such as gel electrophoresis, Southern blot analysis, and polymerase chain reaction analysis.

physical manipulation — Biological sample analysis needs wet-lab execution

Analyze biological samples.
#16826 · Core · 45% automatable

Collaborate with biologists and other professionals to conduct appropriate genetic and biochemical analyses.

interpersonal — Research collaboration is iterative human teamwork

Collaborate on research activities with scientists or technical specialists.
#16822 · Core · 55% automatable

Instruct medical students, graduate students, or others in methods or procedures for diagnosis and management of genetic disorders.

text generation — Science instruction content AI-assisted; delivery human

Instruct college students in physical or life sciences.
#16837 · Core · 45% automatable

Create or use statistical models for the analysis of genetic data.

data analysis — Bioinformatics aided; wet-lab work human

Research genetic characteristics or expression.
#16821 · Core · 40% automatable

Maintain laboratory safety programs and train personnel in laboratory safety techniques.

interpersonal — Technical procedure training needs live demonstration and correction

Train personnel in technical or scientific procedures.
#16818 · Core · 20% automatable

Verify that cytogenetic, molecular genetic, and related equipment and instrumentation is maintained in working condition to ensure accuracy and quality of experimental results.

visual inspection — Hands-on verification of equipment functioning

Inspect equipment to ensure proper functioning.
#16835 · Core · 50% automatable

Develop protocols to improve existing genetic techniques or to incorporate new diagnostic procedures.

decision support — AI drafts care standards; clinical authority decides

Establish standards for medical care.
#16825 · Core · 61% automatable

Confer with information technology specialists to develop computer applications for genetic data analysis.

text generation — Scientific code drafted; domain validation by humans

Develop software or applications for scientific or technical use. Collaborate with technical specialists to resolve design or development problems.
#16836 · Core · 45% automatable

Design sampling plans or coordinate the field collection of samples such as tissue specimens.

data analysis — Bioinformatics aided; wet-lab work human

Research genetic characteristics or expression.
#16823 · Supplemental · 45% automatable

Evaluate, diagnose, or treat genetic diseases.

data analysis — Literature and data aided; lab work human

Research diseases or parasites.
#16838 · Supplemental · 45% automatable

Conduct family medical studies to evaluate the genetic basis for traits or diseases.

data analysis — Bioinformatics aided; wet-lab work human

Research genetic characteristics or expression.
#16824 · Supplemental · 65% automatable

Design and maintain genetics computer databases.

text generation — Technical DB design drafted; domain validation human

Develop technical or scientific databases.
#16820 · Supplemental · 45% automatable

Participate in the development of endangered species breeding programs or species survival plans.

decision support — Conservation plans need field data and stakeholder judgment

Plan natural resources conservation or restoration programs.
#16819 · Supplemental · 45% automatable

Plan curatorial programs for species collections that include acquisition, distribution, maintenance, or regeneration.

decision support — Conservation plans need field data and stakeholder judgment

Plan natural resources conservation or restoration programs.
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Community Sentiment

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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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