Will graduate teaching assistants be replaced by AI?
Updated
Graduate teaching assistants score 47 of 100 for AI exposure. The largest share of their task time, 54%, is work AI speeds up while they stay in charge. AI can take over 27% outright, and 19% stays with people.
- 27% AI can do it
- 54% AI helps
- 19% Needs a person
Moderate exposure
Higher than 67% of the 923 occupations we scored.
Task by task
We graded 20 tasks, listed here from most to least exposed. AI can do 4 of them today, speeds up 10 and leaves 6 to people.
| Task | AI exposure |
|---|---|
| Develop teaching materials, such as syllabi, visual aids, answer keys, supplementary notes, or course Web sites. AI can readily draft syllabi, answer keys and course notes. | 70% AI can do it |
| Inform students of the procedures for completing and submitting class work, such as lab reports. Announcements and submission instructions are easily drafted by AI. | 65% AI can do it |
| Evaluate and grade examinations, assignments, or papers, and record grades. Grading and grade recording largely automatable, with review. | 62% AI can do it |
| Return assignments to students in accordance with established deadlines. Returning graded work on schedule is mostly learning system automation. | 60% AI can do it |
| Notify instructors of errors or problems with assignments. AI can scan assignments and flag errors, with instructor review. | 50% AI helps |
| Tutor or mentor students who need additional instruction. AI tutors help with practice; mentoring remains a human relationship. | 40% AI helps |
| Prepare or proctor examinations. AI drafts exam questions; proctoring needs a physically present person. | 35% AI helps |
| Schedule and maintain regular office hours to meet with students. Booking can be automated; the meetings themselves stay in person. | 35% AI helps |
| Meet with supervisors to discuss students' grades or to complete required grade-related paperwork. Meetings stay human; grade paperwork is largely automatable. | 30% AI helps |
| Order or obtain materials needed for classes. Ordering can use software; physical pickup and delivery need people. | 30% AI helps |
Show the other 10 tasks
| Task | AI exposure |
|---|---|
| Arrange for supervisors to conduct teaching observations and provide feedback about teaching performance. AI can draft scheduling and feedback; observing classes stays human. | 30% AI helps |
| Assist faculty members or staff with student conferences. Conferences need live people; AI helps with notes and scheduling. | 25% AI helps |
| Lead discussion sections, tutorials, or laboratory sections. Live discussion facilitation needs people; AI helps prepare materials. | 22% AI helps |
| Teach undergraduate-level courses. Live teaching with students; AI assists preparation only. | 20% AI helps |
| Provide assistance to faculty members or staff with laboratory or field research. Physical lab and field work; AI helps only with analysis. | 18% Needs a person |
| Copy and distribute classroom materials. Mostly physical copying and handing out; little AI help. | 15% Needs a person |
| Complete laboratory projects prior to assigning them to students so that any needed modifications can be made. Physical lab construction and testing; AI only helps plan it. | 15% Needs a person |
| Attend lectures given by the supervising instructor. Attending is in person; AI only helps with notes. | 12% Needs a person |
| Provide instructors with assistance in the use of audiovisual equipment. Fixing audiovisual equipment is physical; AI offers only guidance. | 12% Needs a person |
| Demonstrate use of laboratory equipment and enforce laboratory rules. Demonstrating equipment and enforcing rules happens in person. | 5% Needs a person |
How graduate teaching assistants compare
All occupations (923)
Educational instruction and library (62)
Pay and outlook in the US
- Median pay
- $42,910 a year, May 2025
- People employed
- 164,090 in the US, May 2025
- Projected change in jobs
- +2.7% from 2024 to 2034
Skills to build
- Lead lab sessions and enforce safety rules in person
- Write exam questions and grading rubrics in Microsoft Word
- Run grade records and analysis in Microsoft Excel
- Run statistical analysis for faculty research in SPSS Statistics
- Set up audiovisual equipment for instructor lectures
- Lead discussion groups and mentor students one on one
Safer roles nearby
5 related occupations with lower scores.
Questions about graduate teaching assistants and AI
Will AI replace graduate teaching assistants?
Partly. About 4 in 10 working hours go to tasks AI can already do, mostly drafting teaching materials and grading with grade recording. Lab demonstrations, enforcing lab rules, and leading discussion groups stay with people because they need someone physically present and a working relationship with students.
Which tasks will AI take over for graduate teaching assistants?
Drafting teaching materials and grading take the most exposure. AI scores 70 on developing syllabi, answer keys and course notes, and 62 on evaluating papers and recording grades, with instructor review still needed. Announcements about submission procedures score 65, because AI drafts them quickly from a standard template.
Which tasks stay human for graduate teaching assistants?
Lab work stays with people most. Demonstrating laboratory equipment and enforcing lab rules scores 5 on exposure, since it happens in person at the bench. Attending lectures and setting up audiovisual equipment both score 12, because the work is physical and AI offers only guidance.
How can graduate teaching assistants stay valuable?
Shift time toward work that needs a person in the room. Lead lab demonstrations and set safety rules at the bench. Review AI drafts of answer keys and syllabi in Microsoft Word before release, and check grade records in Microsoft Excel. Run SPSS Statistics or SAS analysis for faculty research, and keep mentoring students one on one.
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