Microbiologists
Life, Physical & Social SciencesAI exposure
- Data source: BLSPublished: '26.08
High· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: '26.03
0.097
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: '25
0.40
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 39% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 4 hidden tasksValues in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Prepare technical reports and recommendations, based upon research outcomes.O*NET Task ID 3681 | 1.0 |
Examine physiological, morphological, and cultural characteristics, using microscope, to identify and classify microorganisms in human, water, and food specimens.O*NET Task ID 3675 | 0.5 |
Provide laboratory services for health departments, community environmental health programs, and physicians needing information for diagnosis and treatment.O*NET Task ID 3676 | 0.5 |
Investigate the relationship between organisms and disease, including the control of epidemics and the effects of antibiotics on microorganisms.O*NET Task ID 3678 | 0.5 |
Supervise biological technologists and technicians and other scientists.O*NET Task ID 3679 | 0.5 |
Study growth, structure, development, and general characteristics of bacteria and other microorganisms to understand their relationship to human, plant, and animal health.O*NET Task ID 3680 | 0.5 |
Study the structure and function of human, animal, and plant tissues, cells, pathogens, and toxins.O*NET Task ID 3682 | 0.5 |
Research use of bacteria and microorganisms to develop vitamins, antibiotics, amino acids, grain alcohol, sugars, and polymers.O*NET Task ID 3685 | 0.5 |
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.O*NET Task ID 15213 | 0.5 |
Develop new products and procedures for sterilization, food and pharmaceutical supply preservation, or microbial contamination detection.O*NET Task ID 15214 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page