Will AI replace postsecondary sociology teachers?

Some tasks are already handled by AI or machines; the rest still needs a person. About 3h 1m of an 8-hour shift goes to tasks that AI or robots largely take over. The breakdown: 32m done by people with AI help, 3h 1m that AI mostly does alone. The other 4h 26m (56%) stays with people. Separately, BLS expects about 2.2% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 9 of 24 tasks, about 3h 33m of a typical shift. The biggest ones:

• Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media. (1h 4m a shift, AI mostly does it alone)
• Evaluate and grade students' class work, assignments, and papers. (53m a shift, AI mostly does it alone)
• Compile, administer, and grade examinations, or assign this work to others. (21m a shift, AI mostly does it alone)
• Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction. (16m a shift, AI mostly does it alone)
• Advise students on academic and vocational curricula and on career issues. (16m a shift, AI mostly does it alone)

4h 26m of a typical shift, or 56%, 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:

• Prepare and deliver lectures to undergraduate or graduate students on topics such as race and ethnic relations, measurement and data collection, and workplace social relations. (1h 4m a shift)
• Prepare course materials, such as syllabi, homework assignments, and handouts. (43m a shift)
• Initiate, facilitate, and moderate classroom discussions. (27m a shift)
• Maintain regularly scheduled office hours to advise and assist students. (27m a shift)
• Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues. (21m 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:

• 67% talk face to face with others every day
• 60% are in constant contact with other people

For the 5 tasks in this job where AI shows up and timing data exists, a typical request takes about 8h 15m for a person alone and about 42m 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:

• Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction (about 10h 7m alone, 1h 7m with AI)
• Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media (about 8h 34m alone, 31m with AI)
• Compile, administer, and grade examinations, or assign this work to others (about 8h 15m alone, 25m with AI)

On Indeed, job postings in the Education & Instruction sector are at 107% of their February 2020 level (all U.S. postings: 104%), down 9.5% from a year earlier, as of Oct 9, 2026. BLS separately expects about 1,000 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 $84,290 a year, 65% above the median for all U.S. jobs ($50,980). Most people in this job earn between $49,930 and $160,140 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 2.2% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 15,000 jobs in 2035. It expects about 1,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 12,000 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 644th largest of the 796 jobs on this site. BLS expects about 15,000 in 2035.

The most common requirement is a doctoral degree: about 77% 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: Speaking, Learning Strategies, Instructing, Writing
• Get strong at the parts of the job that stay with people (listed above), which take 4h 26m of a typical shift
• Tools employers list: Google Docs, IBM SPSS Statistics, Microsoft Excel, Microsoft Office software, Microsoft Outlook
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

Yes. Occupational experts recently added these to the official task list, a sign of how the work itself is shifting. New tasks aren't rated for AI or robots yet:

• Give presentations to community groups.
• Review manuscripts.
• Write letters of recommendation for students.

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:

• Criminal Justice and Law Enforcement Teachers, Postsecondary (2h 59m touched, $77k median pay)
• Family and Consumer Sciences Teachers, Postsecondary (2h 58m touched, $76k median pay)

Each task carries its own evidence label. For this job: 9 observed in real AI use, 15 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.