Will AI replace political scientists?

Some tasks are already being done by AI or machines; the rest still needs a person. About 2h 58m 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: 18m done by people with AI help, 2h 58m that AI mostly does alone. The other 4h 44m (59%) stays with people. Separately, BLS expects about 2% fewer of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 5 of 14 tasks, about 3h 16m of a typical shift. The biggest ones:

• Interpret and analyze policies, public issues, legislation, or the operations of governments, businesses, and organizations. (1h 11m a shift, AI mostly does it alone)
• Develop and test theories, using information from interviews, newspapers, periodicals, case law, historical papers, polls, or statistical sources. (53m a shift, AI mostly does it alone)
• Evaluate programs and policies, and make related recommendations to institutions and organizations. (30m a shift, AI mostly does it alone)
• Teach political science. (24m a shift, AI mostly does it alone)
• Write drafts of legislative proposals, and prepare speeches, correspondence, and policy papers for governmental use. (18m a shift, people use AI to help)

4h 44m of a typical shift, or 59%, 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:

• Collect, analyze, and interpret data, such as election results and public opinion surveys, reporting on findings, recommendations, and conclusions. (1h 11m a shift)
• Disseminate research results through academic publications, written reports, or public presentations. (53m a shift)
• Maintain current knowledge of government policy decisions. (47m a shift)
• Consult with and advise government officials, civic bodies, research agencies, the media, political parties, and others concerned with political issues. (36m a shift)
• Identify issues for research and analysis. (18m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 54% talk face to face with others every day

For the 2 tasks in this job where AI shows up and timing data exists, a typical request takes about 5h 23m for a person alone and about 30m 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 drafts of legislative proposals, and prepare speeches, correspondence, and policy papers for governmental use (about 6h 2m alone, 29m with AI)
• Interpret and analyze policies, public issues, legislation, or the operations of governments, businesses, and organizations (about 4h 44m alone, 32m 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 400 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 $142,080 a year ($68.31 an hour), 179% above the median for all U.S. jobs ($50,980). Most people in this job earn between $83,350 and $195,190 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 a decline of 2% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 6,000 jobs in 2035. Even so, it expects about 400 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 5,540 people in the U.S., roughly 0.00% of all workers (BLS, May 2025). That makes it the 722nd largest of the 796 jobs on this site. BLS expects about 6,000 in 2035.

The most common requirement is a doctoral degree: about 88% 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: Active Learning, Reading Comprehension, Writing, Social Perceptiveness
• Get strong at the parts of the job that stay with people (listed above), which take 4h 44m of a typical shift
• Tools employers list: Microsoft Word, Microsoft PowerPoint, Microsoft Outlook, Microsoft Office software, Microsoft Excel
• 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:

• Anthropologists and Archeologists (2h 16m touched, $71k median pay)
• Geographers (1h 25m touched, $102k median pay)

Each task carries its own evidence label. For this job: 5 observed in real AI use, 9 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.