Will AI replace anthropologists and archeologists?

Some tasks are already being done by AI or machines; the rest still needs a person. About 2h 16m of a typical shift is made up of tasks that AI or robots have done on their own in real use somewhere. That doesn't mean those hours are automated in a typical workplace. The breakdown: 1h 50m that AI mostly does alone, 26m that robots have done in real workplaces. The other 5h 44m (72%) stays with people. Separately, BLS expects about 6% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 4 of 30 tasks, about 1h 50m of a typical shift. The biggest ones:

• Write about and present research findings for a variety of specialized and general audiences. (1h 11m a shift, AI mostly does it alone)
• Record the exact locations and conditions of artifacts uncovered in diggings or surveys, using drawings and photographs as necessary. (19m a shift, AI mostly does it alone)
• Create data records for use in describing and analyzing social patterns and processes, using photography, videography, and audio recordings. (13m a shift, AI mostly does it alone)
• Organize public exhibits and displays to promote public awareness of diverse and distinctive cultural traditions. (6m a shift, AI mostly does it alone)

For some tasks, yes. Robots have done 1 of this job's tasks in workplaces like this one, about 26m of a typical shift. 2 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 7 physical tasks, no robot has shown it can do the work yet.

• Assess archeological sites for resource management, development, or conservation purposes and recommend methods for site protection. (26m a shift; e.g. Spot (Boston Dynamics) + autonomous laser-scanning drone, Smart@POMPEI project, in use)

5h 44m of a typical shift, or 72%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Research, survey, or assess sites of past societies and cultures in search of answers to specific research questions. (45m a shift)
• Collect information and make judgments through observation, interviews, and review of documents. (26m a shift)
• Teach or mentor undergraduate and graduate students in anthropology or archeology. (19m a shift)
• Plan and direct research to characterize and compare the economic, demographic, health care, social, political, linguistic, and religious institutions of distinct cultural groups, communities, and organizations. (19m a shift)
• Write grant proposals to obtain funding for research. (19m a shift)

For the 1 task in this job where AI shows up and timing data exists, a typical request takes about 7h 32m for a person alone and about 41m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Write about and present research findings for a variety of specialized and general audiences (about 7h 32m alone, 41m with AI)

On Indeed, job postings in the Social Science sector are at 126% of their February 2020 level (all U.S. postings: 104%), down 6.7% from a year earlier, as of Oct 9, 2026. BLS separately expects about 800 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $70,770 a year ($34.02 an hour), 39% above the median for all U.S. jobs ($50,980). Most people in this job earn between $49,050 and $108,060 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 6% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 11,000 jobs in 2035. It expects about 800 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 8,990 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 676th largest of the 796 jobs on this site. BLS expects about 11,000 in 2035.

The most common requirement is a doctoral degree: about 40% of people in the job said so in the official O*NET survey. O*NET rates the job at level 5 of 5 for preparation, which usually means: graduate degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Writing, Speaking, Active Learning, Critical Thinking
• Get strong at the parts of the job that stay with people (listed above), which take 5h 44m of a typical shift
• Tools employers list: Microsoft Word, Microsoft Office software, Microsoft Excel, ESRI ArcGIS software, Adobe Acrobat
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Geographers (1h 25m touched, $102k median pay)
• Historians (12m touched, $77k median pay)

Each task carries its own evidence label. For this job: 4 observed in real AI use, 1 with robots in real deployments, 25 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.