56
/100

SOC 25-9044

Teaching Assistants, Postsecondary

ElevatedFrey/Osborne: 56.0%

Risk Score

โš ๏ธ

56/100

Elevated

US Employment

๐Ÿ‘ฅ

155,010

Total workers

Median Wage

๐Ÿ’ฐ

$45K

$28K โ€“ $74K

Projected Growth

๐Ÿ“ˆ

+3.1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Teaching Assistants, Postsecondary face a risk score of 56/100 โ€” 12 points above the national average of 44. With 95/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $45K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 56/100, Teaching Assistants, Postsecondary faces moderate automation pressure. While tasks like generative ai producing marketing and creative copy are increasingly handled by AI, the role retains significant human elements. The 155,010 workers in this occupation should focus on strengthening skills in developing creative and engaging hands-on lessons and mentoring students through personal and academic challenges to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Teaching Assistants, Postsecondary?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Generative AI producing marketing and creative copy

2

AI-powered research and literature review tools

3

Virtual classroom platforms reducing instructor demand

4

Automated data interpretation and insight generation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Developing creative and engaging hands-on lessons

โœ“

Mentoring students through personal and academic challenges

โœ“

Managing classroom dynamics and student behavior

โœ“

Adapting instruction to individual learning needs in real-time

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Teach undergraduate-level courses.

โ€ข

Evaluate and grade examinations, assignments, or papers, and record grades.

โ€ข

Lead discussion sections, tutorials, or laboratory sections.

โ€ข

Develop teaching materials, such as syllabi, visual aids, answer keys, supplementary notes, or course Web sites.

โ€ข

Inform students of the procedures for completing and submitting class work, such as lab reports.

๐Ÿ’ป Technology Skills

โ€ข

Graphics or photo imaging software

โ€ข

Computer based training software

โ€ข

Calendar and scheduling software

โ€ข

Word processing software

โ€ข

Information retrieval or search software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Education and Training

โ€ข

Computers and Electronics

โ€ข

Mathematics

โ€ข

Communications and Media

๐Ÿ“Š vs National Average

Median Wage$45K
$-1K

National avg: $46K

Risk Score56/100
+12

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth3.1%
-0.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Postsecondary Teachers22$82K83%
Postsecondary Teachers, All Other22$78K83%
Teachers and Instructors, All Other23$65K81%