Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 19-3091.00
Study the origin, development, and behavior of human beings. May study the way of life, language, or physical characteristics of people in various parts of the world. May engage in systematic recovery and examination of material evidence, such as tools or pottery remaining from past human cultures, in order to determine the history, customs, and living habits of earlier civilizations.
Also called: Archaeologist · Communication and Folklore Specialist · Forensic Anthropologist · Researcher · American Indian Policy Specialist · Applied Anthropologist · Applied Cultural Anthropologist · Historical Archaeologist · Research Archaeologist · Anthropologist · Archaeological Field Technician · Archaeological Technician (Archeological Tech)
Job family: Life, Physical, and Social Science Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-19-3091-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
66th-percentile task overlap — yet about 800 openings a year (+3.7% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 64th | 0.7 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 68th | 0.8 | |
| AI assistant applicability (Microsoft) Moderate | 66th | 0.2 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.4), and including AI-powered software (γ 0.8). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.0 · 5th percentile among occupations · Low
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Formulate general rules that describe and predict the development and behavior of cultures and social institutions. | 4.4% | |
| Write about and present research findings for a variety of specialized and general audiences. | 4.3% | |
| Record the exact locations and conditions of artifacts uncovered in diggings or surveys, using drawings and photographs as necessary. | 3.5% | |
| Create data records for use in describing and analyzing social patterns and processes, using photography, videography, and audio recordings. | 3.4% | |
| Organize public exhibits and displays to promote public awareness of diverse and distinctive cultural traditions. | 2.9% | |
| Study archival collections of primary historical sources to help explain the origins and development of cultural patterns. | 2.5% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +3.7% by 2034 |
| Projected annual openings | 800 |
| Employment 2024 → 2034 | 8,800 → 9,200 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Sociologists, Anthropologists and Related Professionals · 2632 | 48% | Gradient 2 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Written Comprehension | 4.4 | |
| Oral Expression | 4.4 | |
| Written Expression | 4.4 | |
| Oral Comprehension | 4.3 | |
| Deductive Reasoning | 4.1 | |
| Inductive Reasoning | 4.0 | |
| Speech Clarity | 4.0 | |
| Information Ordering | 3.9 | |
| Category Flexibility | 3.9 | |
| Fluency of Ideas | 3.8 | |
| Flexibility of Closure | 3.8 | |
| Speech Recognition | 3.8 | |
| Near Vision | 3.6 | |
| Problem Sensitivity | 3.4 | |
| Originality | 3.1 | |
| Selective Attention | 3.1 | |
| Far Vision | 3.1 |
| Writing | 4.3 | |
| Speaking | 4.3 | |
| Reading Comprehension | 4.1 | |
| Active Listening | 4.1 | |
| Critical Thinking | 4.1 | |
| Active Learning | 3.9 | |
| Monitoring | 3.5 | |
| Learning Strategies | 3.4 | |
| Science | 3.0 |
| Complex Problem Solving | 3.8 | |
| Instructing | 3.3 | |
| Judgment and Decision Making | 3.3 | |
| Social Perceptiveness | 3.1 | |
| Coordination | 3.1 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 50.
Showing the top 40 of 58.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Health Professions and Related Programs , Multi/Interdisciplinary Studies , Social Sciences . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Doctoral Degree | 40.0% | |
| Master's Degree | 30.0% | |
| Bachelor's Degree | 20.0% | |
| Some College Courses | 5.0% | |
| Associate's Degree (or other 2-year degree) | 5.0% |
The interests and personal qualities O*NET associates with people who do this work.
| Investigative | 6.8 | |
| Artistic | 4.2 | |
| Realistic | 4.0 | |
| Social | 3.7 | |
| Conventional | 3.2 |
| Humanities | 6.7 | |
| Social Science | 6.5 | |
| Public Speaking | 3.4 | |
| Teaching/Education | 3.3 | |
| Nature/Outdoors | 2.8 | |
| Creative Writing | 2.5 | |
| Mathematics/Statistics | 2.5 | |
| Media | 2.5 |
| Attention to Detail | 5.0 | |
| Intellectual Curiosity | 4.0 | |
| Achievement Orientation | 3.0 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $44,510 |
| 25th percentile | $51,240 |
| Median (50th) | $64,910 |
| 75th percentile | $83,080 |
| 90th percentile | $104,510 |
| People employed | 8,070 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 5,160 | $60,630 |
| Research and Development in the Social Sciences and Humanities · National industry | 1,810 | $60,940 |
| Engineering Services · National industry | 520 | $63,410 |
| Educational Services · Sector | 320 | $58,500 |
| Arts, Entertainment, and Recreation · Sector | 200 | $48,370 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Research and Development in the Social Sciences and Humanities · National industry | 568.88× | 1,810 |
| Professional, Scientific, and Technical Services · Sector | 9.15× | 5,160 |
| Engineering Services · National industry | 8.59× | 520 |
| Arts, Entertainment, and Recreation · Sector | 1.45× | 200 |
| Educational Services · Sector | 0.45× | 320 |
Part of the Education , Healthcare & Human Services and Public Service & Safety career clusters.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Anthropologists and Archeologists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 86th percentile of 427 international occupations.
Anthropologists and Archeologists show 66th-percentile AI task overlap — and about 800 annual U.S. openings
Anthropologists and Archeologists show 66th-percentile AI task overlap — and about 800 annual U.S. openings • Anthropologists and Archeologists rank in the 66th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 800 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+3.7%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $64,910, across about 8,070 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Anthropologists and Archeologists". https://singulariki.com/roles/role-19-3091-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Anthropologists and Archeologists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-19-3091-00
Singulariki. (2026). Anthropologists and Archeologists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-19-3091-00
@misc{singulariki-role-19-3091-00,
title = {Anthropologists and Archeologists},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-19-3091-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.