54
/100

SOC 25-1022

Mathematical Science Teachers, Postsecondary

ElevatedFrey/Osborne: 40.0%

Risk Score

โš ๏ธ

54/100

Elevated

US Employment

๐Ÿ‘ฅ

48,820

Total workers

Median Wage

๐Ÿ’ฐ

$79K

$48K โ€“ $161K

Projected Growth

๐Ÿ“ˆ

+2.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Mathematical Science Teachers, Postsecondary face a risk score of 54/100 โ€” 10 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 $79K ($33K above the national median). 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 54/100, Mathematical Science Teachers, Postsecondary faces moderate automation pressure. While tasks like ai-generated curriculum and lesson plan content are increasingly handled by AI, the role retains significant human elements. The 48,820 workers in this occupation should focus on strengthening skills in developing creative and engaging hands-on lessons and inspiring and motivating students through personal connection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Mathematical Science Teachers, Postsecondary?

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

โš ๏ธ Top Risk Factors

1

AI-generated curriculum and lesson plan content

2

AI tutoring systems providing personalized instruction

3

Automated grading and assessment tools

4

AI coding assistants reducing developer demand

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Developing creative and engaging hands-on lessons

โœ“

Inspiring and motivating students through personal connection

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

Compile, administer, and grade examinations, or assign this work to others.

โ€ข

Evaluate and grade students' class work, assignments, and papers.

โ€ข

Prepare and deliver lectures to undergraduate or graduate students on topics such as linear algebra, differential equations, and discrete mathematics.

โ€ข

Maintain student attendance records, grades, and other required records.

โ€ข

Prepare course materials, such as syllabi, homework assignments, and handouts.

๐Ÿ’ป Technology Skills

โ€ข

Computer based training software

โ€ข

Data base user interface and query software

โ€ข

Calendar and scheduling software

โ€ข

Word processing software

โ€ข

Analytical or scientific software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mathematics

โ€ข

Education and Training

โ€ข

English Language

โ€ข

Computers and Electronics

โ€ข

Customer and Personal Service

๐Ÿ“Š vs National Average

Median Wage$79K
+$33K

National avg: $46K

Risk Score54/100
+10

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth2.3%
-1.4%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Dentists, All Other Specialists13$226K67%
Postsecondary Teachers22$82K79%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K61%