Opens in a new tab
needsahuman.

Will AI replace geneticists?

A little.

This job scores 69 out of 100 on (higher is safer). Today AI could do about 17% of the work by itself, people do 37% with AI’s help, and 46% still needs a person.

Updated 3 October 2026 19-1029.03 2113 2026-Q4
Life, Physical, and Social ScienceGeneticists19-1029.03 · 2026-Q4
17% AI does it37% AI helps46% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 46%AI helps 37%AI does it 17%

AI does it: AI can do the task largely by itself. AI helps: a person still does it, faster with AI. Needs a human: AI can do little of it yet.

Each ridge is a slice of the job's task time.Needs a human 46%AI helps 37%AI does it 17%
The job’s mark

No two jobs leave the same print

Every job gets its own fingerprint, drawn from its code. The amber ridges are the share of task time that still needs a person. Below them, the same ridges are written out in ones and zeros: slate for the work AI helps with, white for the work AI can do.

Geneticists, O*NET-SOC 19-1029.03. 46% of the job’s task time still needs a human, so 46 of every 100 ridges are amber; slate is what AI helps with, white what AI can do.

What AI can and cannot do

The tasks that make up the job, from , and where AI stands on each today: , (a person does it, with AI speeding it up) or . 46% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 46%AI helps 37%AI does it 17%
The job's task list: the parts AI can do are blacked out.Needs a human 46%AI helps 37%AI does it 17%
Supervise or direct the work of other geneticists, biologists, technicians, or biometricians working on genetics research projects.Needs a human
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.Needs a human
Prepare results of experimental findings for presentation at professional conferences or in scientific journals.AI does it
Maintain laboratory notebooks that record research methods, procedures, and results.AI helps
Write grants and papers or attend fundraising events to seek research funds.AI helps
Search scientific literature to select and modify methods and procedures most appropriate for genetic research goals.AI does it
Review, approve, or interpret genetic laboratory results.AI helps
Attend clinical and research conferences and read scientific literature to keep abreast of technological advances and current genetic research findings.AI helps
Evaluate genetic data by performing appropriate mathematical or statistical calculations and analyses.AI does it
Analyze determinants responsible for specific inherited traits, and devise methods for altering traits or producing new traits.AI helps
Extract deoxyribonucleic acid (DNA) or perform diagnostic tests involving processes such as gel electrophoresis, Southern blot analysis, and polymerase chain reaction analysis.Needs a human
Collaborate with biologists and other professionals to conduct appropriate genetic and biochemical analyses.Needs a human
Instruct medical students, graduate students, or others in methods or procedures for diagnosis and management of genetic disorders.Needs a human
Create or use statistical models for the analysis of genetic data.AI helps
Maintain laboratory safety programs and train personnel in laboratory safety techniques.Needs a human
Verify that cytogenetic, molecular genetic, and related equipment and instrumentation is maintained in working condition to ensure accuracy and quality of experimental results.Needs a human
Develop protocols to improve existing genetic techniques or to incorporate new diagnostic procedures.Needs a human
Confer with information technology specialists to develop computer applications for genetic data analysis.AI helps
Design sampling plans or coordinate the field collection of samples such as tissue specimens.AI helps
Evaluate, diagnose, or treat genetic diseases.Needs a human
Conduct family medical studies to evaluate the genetic basis for traits or diseases.Needs a human
Design and maintain genetics computer databases.AI does it
Participate in the development of endangered species breeding programs or species survival plans.Needs a human
Plan curatorial programs for species collections that include acquisition, distribution, maintenance, or regeneration.AI helps

Is it better than a person? The evidence

No direct test against people in this job yet. Every study is , and vendor studies are labelled as such.

When could it be replaced?

When AI could largely do this job: 2037–2051

Most likely between 2037 and 2051 (8 in 10 of our scenarios). A range from our of how fast AI improves, how fast employers take it up and what holds it back, not a forecast that the job ends. “” has a strict meaning here. Today’s answer is at the top of the page; this is how it could change.

The sand is the human working years left, measured in the same 40-year glass for every job, so a safe trade starts nearly full and an exposed job with a thin layer.

The sand is the human working years left, in the same 40-year glass for every job.Years still needing a humanYears run out

How this job could shift, year by year

Where the job could sit on our scale each year to 2060, across the ten behind its .

Today
Will AI replace this job?
A little.
By 2045
80%
of our scenarios have AI largely doing this job by 2045 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)
By 2060
100%
of our scenarios have AI largely doing this job by 2060 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)

We run this job as ten scenarios spread across its replacement range. In each, the score moves towards the bottom band (Largely: AI could largely do the job) by the year that scenario reaches it, slowly at first and faster later, as adoption usually goes. Each bar splits the ten by the band they put the job in. The model stops at 2060. How the timeline works

Share of this job's scenarios in each verdict band, today to 20600%25%50%75%100%2026: 100.0% of scenarios: AI could do a little of this job (A little.)100%Today2030: 50.0% of scenarios: AI could do a little of this job (A little.)50%2030: 50.0% of scenarios: AI could partly do this job (Partly.)50%20302035: 40.0% of scenarios: AI could partly do this job (Partly.)40%2035: 50.0% of scenarios: AI could mostly do this job (Mostly.)50%2035: 10.0% of scenarios: AI could largely do this job (Largely.)10%20352040: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2040: 60.0% of scenarios: AI could largely do this job (Largely.)60%20402045: 20.0% of scenarios: AI could mostly do this job (Mostly.)20%2045: 80.0% of scenarios: AI could largely do this job (Largely.)80%20452050: 100.0% of scenarios: AI could largely do this job (Largely.)100%20502055: 100.0% of scenarios: AI could largely do this job (Largely.)100%20552060: 100.0% of scenarios: AI could largely do this job (Largely.)100%2060
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of this job's scenarios in each band, year by year. Updated with every release.
Show the data
YearLargelyMostlyPartlyA littleNah
Today (2026)0.0%0.0%0.0%100.0%0.0%
20300.0%0.0%50.0%50.0%0.0%
203510.0%50.0%40.0%0.0%0.0%
204060.0%40.0%0.0%0.0%0.0%
204580.0%20.0%0.0%0.0%0.0%
2050100.0%0.0%0.0%0.0%0.0%
2055100.0%0.0%0.0%0.0%0.0%
2060100.0%0.0%0.0%0.0%0.0%

What’s stopping AI taking over?

The things that keep this work with people, strongest first. Each is scored 0 to 100 from work context, licensing and the evidence we have.

LiabilityMistakes are rated 2.6 out of 5 for consequence and decisions 3.2 out of 5 for impact; someone has to answer for them.
Evidence gapNo study yet compares AI with people doing this job, so employers have no proof it is good enough.
Clients want a personFace-to-face contact is rated 4.6 and physical closeness 2.9 out of 5; caring for or serving people is 2.7 out of 5 in importance.
RegulationWorkers rate responsibility for others' health and safety 3.2 out of 5.
LicensingUsual entry requirement (BLS): bachelor's degree.
Physical work14% of the task time is physical; robots have been shown on 81% of that time.

What would it cost to hand the work to AI?

The share of the year AI could handle (693 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$70–$6,930
A person’s wage for the same hours
$20,120–$55,950

AI cost covers model usage only: no integration, licences, oversight or the human time still needed to review the work. Human cost is the wage for the same hours, without benefits or overheads. As of 2026-10.

Robots and humanoids

AI software can only take the work at a screen. The rest needs a robot that can do it.

14%
of the task time is physical work
Fixed automation
the kind of robot the physical work would need
Mature and widely deployed in factories and warehouses, but the work has to be redesigned around the machine.

Source: Anthropic Economic Index, 'What work can robots do?' (30 September 2026); O*NET 31.0 task weights.

Which AI skills does this job lean on?

The job’s task time split by what an AI model would need to be good at, and where models stand today.

Each star is a task, grouped by the AI skill it leans on.Needs a human 46%AI helps 37%AI does it 17%
Writing · 15% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 35.4% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 8.7% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 0% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 0% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 6.7% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 8.8% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 25.4% of time
Limited
Can script, coach and advise; trust, presence and accountability still need a person.
Amber matter holds its orbit, slate circles the inner disc, white falls in.Needs a human 46%AI helps 37%AI does it 17%
How exposed is it?

Still needs a human: 69/100↑ safer

The amber matter on the outside holds its orbit: that is the task time that still needs a person. The slate matter circling the inner disc is the work AI helps with. The white matter is the share AI can do; it spirals in and is gone over the edge.

The matter follows the job’s task split: 46% needs a human, 37% AI helps, 17% AI does it. Still needs a human: 69/100 ↑ safer. Will AI replace them? A little.

People are asking

How often people ask whether AI will replace this job: on Google, and by estimate, in AI assistants.

In the US

Under 10
Google searches a month, 12-month average to
5
estimated questions to AI assistants in September 2026
Estimated questions to AI assistants a month, October 2025 to September 2026: from 7 to 5

In the UK

Under 10
Google searches a month, 12-month average to
1
estimated questions to AI assistants in September 2026

Source: DataForSEO, US and UK, fetched October 3, 2026. Google figures are Google Ads’ rounded monthly averages. The AI figure is DataForSEO’s estimate from Google’s “People also ask” data, not a count from any AI assistant. UK workers are ONS employment figures matched to this job, so the UK rate per 1,000 is an estimate. Search figures are not part of our open dataset.

What the AIs say

We asked four AI assistants the same question: will AI replace this job in the next 10 years? One word (Yes, Partly or No), then one sentence. Our own answer, from the data: Still needs a human: 69/100 ↑ safer. Will AI replace them? A little.

ChatGPTPartly

AI will automate parts of genetic analysis and interpretation, but human geneticists will remain essential for clinical judgment, research design, counseling, and ethical decisions.

gpt-5.5-2026-04-23 · asked 2026-10-03
ClaudeNo

AI will greatly augment genetic analysis and interpretation, but geneticists' roles in clinical judgment, ethical decision-making, patient counseling, and novel research design will remain essential for the foreseeable future.

claude-sonnet-5 · asked 2026-10-03
GeminiPartly

AI will automate routine data analysis and variant interpretation, but human geneticists will remain essential for complex clinical decision-making, ethical oversight, and physical laboratory research.

gemini-3.8-flash · asked 2026-10-03
PerplexityPartly

AI will automate many geneticists’ analytical tasks, but human expertise will likely remain essential for research, clinical judgment, communication, and oversight.

sonar · asked 2026-10-03

Assistants answer from what they learned in training (Perplexity also searches the web), so they can be confidently wrong, and the same question can get a different answer tomorrow. Our score is built from task data and graded evidence. Answers collected through DataForSEO.

Cite this page

NeedsAHuman.com (2026). Will AI replace Geneticists? A little. Still needs a human: 69/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/geneticists/ (accessed 4 October 2026).

Scores change with each , so cite the release. The data is open under : credit NeedsAHuman.com with a link. Open data · Press

Put the badge on your site

The badge updates itself with each release and links back to this page.

Sources

  • Tasks and work context: 31.0, ().
  • Jobs, pay and projections: US , and 2025–35.
  • How AI is used today: ; Microsoft Research, .
  • What AI can do: our task ratings ( r1) and the quality evidence register.
  • UK names and employment: coding index and .

How each score is built: methodology. Every figure on this page: open data. Release 2026-Q4.