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needsahuman.

Will AI replace microbiologists?

Nah.

This job scores 80 out of 100 on (higher is safer). Today people do 6% of the work with AI’s help, and 94% still needs a person.

Updated 3 October 2026 19-1022 2112 2026-Q4
Life, Physical, and Social ScienceMicrobiologists19-1022 · 2026-Q4
0% AI does it6% AI helps94% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 94%AI helps 6%AI does it 0%

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 94%AI helps 6%AI does it 0%
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.

Microbiologists, O*NET-SOC 19-1022. 94% of the job’s task time still needs a human, so 94 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 . 94% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 94%AI helps 6%AI does it 0%
The job's task list: the parts AI can do are blacked out.Needs a human 94%AI helps 6%AI does it 0%
Isolate and maintain cultures of bacteria or other microorganisms in prescribed or developed media, controlling moisture, aeration, temperature, and nutrition.Needs a human
Provide laboratory services for health departments, community environmental health programs, and physicians needing information for diagnosis and treatment.Needs a human
Monitor and perform tests on water, food, and the environment to detect harmful microorganisms or to obtain information about sources of pollution, contamination, or infection.Needs a human
Examine physiological, morphological, and cultural characteristics, using microscope, to identify and classify microorganisms in human, water, and food specimens.Needs a human
Supervise biological technologists and technicians and other scientists.Needs a human
Use a variety of specialized equipment, such as electron microscopes, gas and high-pressure liquid chromatographs, electrophoresis units, thermocyclers, fluorescence-activated cell sorters, and phosphorimagers.Needs a human
Investigate the relationship between organisms and disease, including the control of epidemics and the effects of antibiotics on microorganisms.Needs a human
Prepare technical reports and recommendations, based upon research outcomes.AI helps
Observe action of microorganisms upon living tissues of plants, higher animals, and other microorganisms, and on dead organic matter.Needs a human
Study growth, structure, development, and general characteristics of bacteria and other microorganisms to understand their relationship to human, plant, and animal health.Needs a human
Study the structure and function of human, animal, and plant tissues, cells, pathogens, and toxins.Needs a human
Develop new products and procedures for sterilization, food and pharmaceutical supply preservation, or microbial contamination detection.Needs a human
Conduct chemical analyses of substances such as acids, alcohols, and enzymes.Needs a human
Research use of bacteria and microorganisms to develop vitamins, antibiotics, amino acids, grain alcohol, sugars, and polymers.Needs a human

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: no sooner than 2038

Most likely after 2038 (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?
Nah.
By 2045
50%
of our scenarios have AI largely doing this job by 2045 (Largely.)
10% still have it mostly needing a person (A little. or Nah.)
By 2060
90%
of our scenarios have AI largely doing this job by 2060 (Largely.)
10% 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: this job mostly needs a person (Nah.)100%Today2030: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2030: 90.0% of scenarios: AI could do a little of this job (A little.)90%20302035: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2035: 30.0% of scenarios: AI could do a little of this job (A little.)30%2035: 30.0% of scenarios: AI could partly do this job (Partly.)30%2035: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%20352040: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2040: 30.0% of scenarios: AI could partly do this job (Partly.)30%2040: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%2040: 30.0% of scenarios: AI could largely do this job (Largely.)30%20402045: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2045: 10.0% of scenarios: AI could partly do this job (Partly.)10%2045: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%2045: 50.0% of scenarios: AI could largely do this job (Largely.)50%20452050: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2050: 20.0% of scenarios: AI could mostly do this job (Mostly.)20%2050: 70.0% of scenarios: AI could largely do this job (Largely.)70%20502055: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2055: 90.0% of scenarios: AI could largely do this job (Largely.)90%20552060: 10.0% of scenarios: this job mostly needs a person (Nah.)10%2060: 90.0% of scenarios: AI could largely do this job (Largely.)90%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%0.0%100.0%
20300.0%0.0%0.0%90.0%10.0%
20350.0%30.0%30.0%30.0%10.0%
204030.0%30.0%30.0%0.0%10.0%
204550.0%30.0%10.0%0.0%10.0%
205070.0%20.0%0.0%0.0%10.0%
205590.0%0.0%0.0%0.0%10.0%
206090.0%0.0%0.0%0.0%10.0%

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 3.9 out of 5 for consequence and decisions 3.6 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 4.7 and physical closeness 3.2 out of 5; caring for or serving people is 2.5 out of 5 in importance.
Physical work85% of the task time is physical; robots have been shown on 94% of that time.
RegulationWorkers rate responsibility for others' health and safety 3.9 out of 5.
LicensingUsual entry requirement (BLS): bachelor's degree.

What would it cost to hand the work to AI?

The share of the year AI could handle (308 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$30–$3,080
A person’s wage for the same hours
$8,090–$22,200

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.

85%
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 94%AI helps 6%AI does it 0%
Writing · 5.9% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 37.2% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 0% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 9.6% 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 · 0% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 38.2% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 9% 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 94%AI helps 6%AI does it 0%
How exposed is it?

Still needs a human: 80/100↑ 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: 94% needs a human, 6% AI helps, 0% AI does it. Still needs a human: 80/100 ↑ safer. Will AI replace them? Nah.

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
10
estimated questions to AI assistants in September 2026
Estimated questions to AI assistants a month, October 2025 to September 2026: from 0 to 10

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: 80/100 ↑ safer. Will AI replace them? Nah.

ChatGPTPartly

AI will automate some routine analysis and data interpretation, but microbiologists will still be needed for experimental design, lab work, clinical judgment, and oversight.

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

AI will augment microbiology research and diagnostics by accelerating data analysis and pattern recognition, but human expertise remains essential for experimental design, interpretation, and hands-on laboratory work.

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

While AI will automate routine data analysis, image scanning, and genomic sequencing, it will augment rather than fully replace microbiologists, who are still needed for hands-on wet-lab experimentation, hypothesis generation, and complex decision-making.

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

AI will automate routine microbiology tasks and reshape some roles, but human expertise in experimental design, laboratory work, interpretation, and accountability will remain essential.

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 Microbiologists? Nah. Still needs a human: 80/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/microbiologists/ (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.