Will AI replace postsecondary library science teachers?

Some tasks are already being done by AI or machines; the rest still needs a person. About 3h 6m 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: 36m done by people with AI help, 3h 6m that AI mostly does alone. The other 4h 18m (54%) stays with people. Separately, BLS expects about 2.7% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 10 of 25 tasks, about 3h 42m of a typical shift. The biggest ones:

• Conduct research in a particular field of knowledge and present findings in professional journals, books, electronic media, or at professional conferences. (1h 23m a shift, AI mostly does it alone)
• Evaluate and grade students' class work, assignments, and papers. (52m 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)
• Compile, administer, and grade examinations, or assign this work to others. (10m a shift, AI mostly does it alone)

4h 18m of a typical shift, or 54%, 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 collection development, archival methods, and indexing and abstracting. (1h 2m a shift)
• Prepare course materials, such as syllabi, homework assignments, and handouts. (31m a shift)
• Initiate, facilitate, and moderate classroom discussions. (21m a shift)
• Develop and teach online courses. (21m 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:

• 51% say dealing with the public is very or extremely important

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 present findings in professional journals, books, electronic media, or at professional conferences (about 9h 32m alone, 42m 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 300 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 $80,340 a year, 58% above the median for all U.S. jobs ($50,980). Most people in this job earn between $57,200 and $129,120 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 2.7% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 4,600 jobs in 2035. It expects about 300 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 3,630 people in the U.S., roughly 0.00% of all workers (BLS, May 2025). That makes it the 745th largest of the 796 jobs on this site. BLS expects about 4,600 in 2035.

The most common requirement is a doctoral degree: about 65% 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: Instructing, Learning Strategies, Monitoring, Active Learning
• Get strong at the parts of the job that stay with people (listed above), which take 4h 18m of a typical shift
• Tools employers list: Amazon Elastic Compute Cloud EC2, C++, Extensible markup language XML, Google Docs, JavaScript
• 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:

• Serve as a mentor.

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:

• Postsecondary Education Teachers (3h 6m touched, $75k median pay)
• Family and Consumer Sciences Teachers, Postsecondary (2h 59m touched, $76k median pay)
• Criminal Justice and Law Enforcement Teachers, Postsecondary (2h 59m touched, $77k median pay)
• Postsecondary History Teachers (3h 8m touched, $84k median pay)
• Postsecondary Geography Teachers (3h 12m touched, $98k median pay)

Each task carries its own evidence label. For this job: 10 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.