Physicians, Pathologists
Healthcare Practitioners and Technical Occupations- O*NET-SOC code
- 29-1222.00
Diagnose diseases and conduct lab tests using organs, body tissues, and fluids. Includes medical examiners.
- 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
0.158
0.000Range of values carried here0.745Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
- Data source: ILOPublished: 2025
0.27–0.29· 2 ISCO-08 groups
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
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.
ILO value for each linked ISCO-08 group
- ISCO-08 2211Generalist Medical Practitioners0.29
- ISCO-08 2212Specialist Medical Practitioners0.27
Task-level exposure
Show 14 hidden tasks19 rated tasks · 16 tasks with β ≥ 0.5 (84.2%)
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
- Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
- All rated tasks are in the O*NET 31.0 task list.
- Source
- OpenAI "GPTs are GPTs" exposure rubric
- Release
- gh-main-0471612
- License
- MIT License, Copyright (c) 2024 OpenAI
Tasks of O*NET-SOC 2010 occupation 29-1069.07 Pathologists, linked to this occupation by the O*NET-SOC 2010 to 2019 crosswalk
| Task (O*NET 20.1) | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Diagnose diseases or study medical conditions using techniques such as gross pathology, histology, cytology, cytopathology, clinical chemistry, immunology, flow cytometry, and molecular biology.29-1069.07 | 0.006731.9 | 0.009440.6 |
Conduct research and present scientific findings.29-1069.07 | 0.005928.1 | 0.004519.6 |
Examine microscopic samples to identify diseases or other abnormalities.29-1069.07 | 0.004220.0 | 0.002611.2 |
Analyze and interpret results from tests such as microbial or parasite tests, urine analyses, hormonal assays, fine needle aspirations (FNAs), and polymerase chain reactions (PCRs).29-1069.07 | 0.002712.9 | 0.006628.6 |
Educate physicians, students, and other personnel in medical laboratory professions such as medical technology, cytotechnology, and histotechnology.29-1069.07 | 0.00157.1 | —0 |
Values 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 (O*NET 27.2) | βE1 + 0.5 × E2 |
|---|---|
Write pathology reports summarizing analyses, results, and conclusions.O*NET Task ID 17190 | 1.0 |
Review cases by analyzing autopsies, laboratory findings, or case investigation reports.O*NET Task ID 17178 | 0.5 |
Manage medical laboratories.O*NET Task ID 17179 | 0.5 |
Read current literature, talk with colleagues, or participate in professional organizations or conferences to keep abreast of developments in pathology.O*NET Task ID 17180 | 0.5 |
Develop or adopt new tests or instruments to improve diagnosis of diseases.O*NET Task ID 17181 | 0.5 |
Educate physicians, students, and other personnel in medical laboratory professions, such as medical technology, cytotechnology, or histotechnology.O*NET Task ID 17182 | 0.5 |
Conduct research and present scientific findings.O*NET Task ID 17183 | 0.5 |
Plan and supervise the work of the pathology staff, residents, or visiting pathologists.O*NET Task ID 17185 | 0.5 |
Identify the etiology, pathogenesis, morphological change, and clinical significance of diseases.O*NET Task ID 17187 | 0.5 |
Diagnose infections, such as Hepatitis B and Acquired Immune Deficiency Syndrome (AIDS), by conducting tests to detect the antibodies that patients' immune systems make to fight such infections.O*NET Task ID 17188 | 0.5 |
Conduct genetic analyses of deoxyribonucleic acid (DNA) or chromosomes to diagnose small biopsies and cell samples.O*NET Task ID 17189 | 0.5 |
Analyze and interpret results from tests, such as microbial or parasite tests, urine analyses, hormonal assays, fine needle aspirations (FNAs), and polymerase chain reactions (PCRs).O*NET Task ID 17191 | 0.5 |
Communicate pathologic findings to surgeons or other physicians.O*NET Task ID 17192 | 0.5 |
Consult with physicians about ordering and interpreting tests or providing treatments.O*NET Task ID 17193 | 0.5 |
Examine microscopic samples to identify diseases or other abnormalities.O*NET Task ID 17194 | 0.5 |
Diagnose diseases or study medical conditions, using techniques such as gross pathology, histology, cytology, cytopathology, clinical chemistry, immunology, flow cytometry, or molecular biology.O*NET Task ID 17195 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
All O*NET 31.0 task statements (19)
All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.
| Task (O*NET 31.0) | Type |
|---|---|
| Review cases by analyzing autopsies, laboratory findings, or case investigation reports. | Core |
| Manage medical laboratories. | Core |
| Read current literature, talk with colleagues, or participate in professional organizations or conferences to keep abreast of developments in pathology. | Core |
| Develop or adopt new tests or instruments to improve diagnosis of diseases. | Core |
| Educate physicians, students, and other personnel in medical laboratory professions, such as medical technology, cytotechnology, or histotechnology. | Core |
| Perform autopsies to determine causes of deaths. | Core |
| Plan and supervise the work of the pathology staff, residents, or visiting pathologists. | Core |
| Identify the etiology, pathogenesis, morphological change, and clinical significance of diseases. | Core |
| Write pathology reports summarizing analyses, results, and conclusions. | Core |
| Analyze and interpret results from tests, such as microbial or parasite tests, urine analyses, hormonal assays, fine needle aspirations (FNAs), and polymerase chain reactions (PCRs). | Core |
| Communicate pathologic findings to surgeons or other physicians. | Core |
| Consult with physicians about ordering and interpreting tests or providing treatments. | Core |
| Examine microscopic samples to identify diseases or other abnormalities. | Core |
| Diagnose diseases or study medical conditions, using techniques such as gross pathology, histology, cytology, cytopathology, clinical chemistry, immunology, flow cytometry, or molecular biology. | Core |
| Testify in depositions or trials as an expert witness. | Supplemental |
| Conduct research and present scientific findings. | Supplemental |
| Obtain specimens by performing procedures, such as biopsies or fine needle aspirations (FNAs) of superficial nodules. | Supplemental |
| Diagnose infections, such as Hepatitis B and Acquired Immune Deficiency Syndrome (AIDS), by conducting tests to detect the antibodies that patients' immune systems make to fight such infections. | Supplemental |
| Conduct genetic analyses of deoxyribonucleic acid (DNA) or chromosomes to diagnose small biopsies and cell samples. | Supplemental |
0.00/ 3· Robot exposure index
Scale, basis and source
Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time
Physical tasks among this occupation's O*NET 29.3 tasks
Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.
The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.
Tier of each physical task
Robot environment tiers (E0–E3)
E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site
Only tasks classified as physical are listed; other tasks have no tier in the source.
| Task (O*NET 29.3) | Robot environment tier |
|---|---|
| Perform autopsies to determine causes of deaths. | E0 none |
| Obtain specimens by performing procedures, such as biopsies or fine needle aspirations (FNAs) of superficial nodules. | E0 none |
Occupation information
Employment outlook (BLS)
- Employment, 2025
- 12K
- Projected employment, 2035
- 12K
- Change (2025–35)
- +4.8%
- Median annual wage, 2025
- $312,400
- Typical education needed for entry
- Doctoral or professional degree
Korea classification links (KSCO)
Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.
| KSCO code | KSCO title | Relation | Status |
|---|---|---|---|
| 24118 | 영상의학과 및 병리과 전문 의사 | This occupation is narrower | confirmed |
Relation and status definitions(kr-direct v1.1)
ILO occupational description
AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.
- ISCO-08 2211Generalist Medical Practitioners
- ISCO-08 2212Specialist Medical Practitioners
Sources: ILO ISCO-08 — details: Credits
ESCO occupational vocabulary
Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.
- specialised doctorESCO 2212.1This occupation is narrower
Specialised doctors prevent, diagnose and treat diseases depending on their medical or surgical specialty.
- biomedical scientistESCO 3212.1Overlapping, not the same
Biomedical scientists perform all laboratory methods required as part of medical examination, treatment and research activities, particularly clinical-chemical, haematological, immuno-haematological, histological, cytological, microbiological, parasitological, mycological, serological and radiological tests. They perform analytical sample testing and report the results to the medical staff for further diagnosis. Biomedical Scientists may apply these methods in particular in the infection, blood or cellular sciences.
- specialist biomedical scientistESCO 2131.4.11Overlapping, not the same
Specialist biomedical scientists lead a department or specialist area, working as a diagnostic partner with a clinical team (investigating and diagnosing patient illnesses like diabetes, haematological disorders, coagulation, molecular biology or genomics) or undertaking clinical research projects.
Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
License: CC BY 4.0 (EU Reuse Notice)
ESCO reuse terms and the modification notice are in Credits.
France classification links (ROME)
AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.
| ROME code | ROME title (French) | Relation |
|---|---|---|
| J1110 | Médecin légiste | This occupation is broaderprovisional |
| J1201 | Biologiste médical / Biologiste médicale | Overlapping, not the sameprovisional |
| J1204 | Directeur / Directrice de laboratoire d'analyses de biologie médicale | Related, not a match |
Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.
ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.
(AI Changing Work link release: fr-direct v1)
Spain classification links (CNO-11)
AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.
| CNO-11 code | CNO-11 title (Spanish) | Relation |
|---|---|---|
| 2112 | Otros médicos especialistas | This occupation is narrowerprovisional |
Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.
(AI Changing Work link release: es-direct v1)
Germany classification links (KldB)
AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.
| KldB code | KldB title (German) | Relation |
|---|---|---|
| 81214 | Medizinisch-technische Berufe im Laboratorium - hoch komplexe Tätigkeiten | This occupation is narrowerprovisional |
Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.
(AI Changing Work link release: de-direct v1)
Japan classification links (JSCO)
AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.
| JSCO code | JSCO title (Japanese) | Relation |
|---|---|---|
| 121 | 医師 | This occupation is narrowerprovisional |
Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.
(AI Changing Work link release: jp-direct v1)
Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources