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AI exposure Education and library

Will AI replace teaching assistants?

Teaching Assistants, Postsecondary. US occupation 25-9044.

10.0%

of the time teaching assistants spend on their work goes on tasks where AI is already being used to do that work.of teaching assistants' working hours go on tasks AI has already started taking off their plate.

Ranked 183 of 756 US occupations. More exposed than 75% of them.Further along than 75% of them.

Average US job 7.7%

Well above the typical job.Ahead of most of the workforce.

What AI already does for teaching assistantsWhat teaching assistants no longer do alone

O*NET lists 20 tasks for teaching assistants. AI use at work shows up in 2 of them. Each score runs from 0.5, where every observed use helps a person with the task, to 1, where every use does the task outright.

  1. Develop teaching materials, such as syllabi, visual aids, answer keys, supplementary notes, or course Web sites.Core task mostly automated 0.86
  2. Prepare or proctor examinations.Core task mostly automated 0.86

What it does not touch, yetWhat still needs a human

18 of the 20 tasks show no AI use at work in the data.

  • Copy and distribute classroom materials.Core task
  • Evaluate and grade examinations, assignments, or papers, and record grades.Core task
  • Inform students of the procedures for completing and submitting class work, such as lab reports.Core task
  • Lead discussion sections, tutorials, or laboratory sections.Core task
  • Meet with supervisors to discuss students' grades or to complete required grade-related paperwork.Core task
  • Notify instructors of errors or problems with assignments.Core task
Show the other 12
  • Order or obtain materials needed for classes.Core task
  • Return assignments to students in accordance with established deadlines.Core task
  • Schedule and maintain regular office hours to meet with students.Core task
  • Teach undergraduate-level courses.Core task
  • Tutor or mentor students who need additional instruction.Core task
  • Arrange for supervisors to conduct teaching observations and provide feedback about teaching performance.
  • Assist faculty members or staff with student conferences.
  • Attend lectures given by the supervising instructor.
  • Complete laboratory projects prior to assigning them to students so that any needed modifications can be made.
  • Demonstrate use of laboratory equipment and enforce laboratory rules.
  • Provide assistance to faculty members or staff with laboratory or field research.
  • Provide instructors with assistance in the use of audiovisual equipment.

How that compares

Among the 57 education and library occupations, teaching assistants rank 27. The group averages 12.9%, and its most exposed job is Mathematical Science Teachers, Postsecondary at 43.1%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Just above in the ranking

  1. 178Prepress Technicians and Workers 10.2%
  2. 182Actors 10.1%
  3. 183Electronics Engineers, Except Computer 10.0%

Just below

  1. 185History Teachers, Postsecondary 9.9%
  2. 185Special Education Teachers, Secondary School 9.9%
  3. 187Library Assistants, Clerical 9.8%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.