Epidemiologists
Life, Physical & Social SciencesAI exposure
- Data source: BLSPublished: 2026-08
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: 2026-03
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
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
Exposed tasks onlyValues 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 |
|---|---|
Oversee public health programs, including statistical analysis, health care planning, surveillance systems, and public health improvement.O*NET Task ID 5421 | 0.5 |
Investigate diseases or parasites to determine cause and risk factors, progress, life cycle, or mode of transmission.O*NET Task ID 5422 | 0.5 |
Plan and direct studies to investigate human or animal disease, preventive methods, and treatments for disease.O*NET Task ID 5423 | 0.5 |
Plan, administer and evaluate health safety standards and programs to improve public health, conferring with health department, industry personnel, physicians, and others.O*NET Task ID 5424 | 0.5 |
Provide expertise in the design, management and evaluation of study protocols and health status questionnaires, sample selection, and analysis.O*NET Task ID 5425 | 0.5 |
Conduct research to develop methodologies, instrumentation, and procedures for medical application, analyzing data and presenting findings.O*NET Task ID 5426 | 0.5 |
Consult with and advise physicians, educators, researchers, government health officials and others regarding medical applications of sciences, such as physics, biology, and chemistry.O*NET Task ID 5427 | 0.5 |
Identify and analyze public health issues related to foodborne parasitic diseases and their impact on public policies, scientific studies, or surveys.O*NET Task ID 5429 | 0.5 |
Teach principles of medicine and medical and laboratory procedures to physicians, residents, students, and technicians.O*NET Task ID 5430 | 0.5 |
Standardize drug dosages, methods of immunization, and procedures for manufacture of drugs and medicinal compounds.O*NET Task ID 5431 | 0.5 |
Supervise professional, technical, and clerical personnel.O*NET Task ID 5428 | 0.0 |
Prepare and analyze samples to study effects of drugs, gases, pesticides, or microorganisms on cell structure and tissue.O*NET Task ID 5432 | 0.0 |
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