54
/100

SOC 25-1082

Library Science Teachers, Postsecondary

ElevatedFrey/Osborne: 40.0%

Risk Score

โš ๏ธ

54/100

Elevated

US Employment

๐Ÿ‘ฅ

4,100

Total workers

Median Wage

๐Ÿ’ฐ

$79K

$54K โ€“ $126K

Projected Growth

๐Ÿ“ˆ

+3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

95/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Library 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 ($32K 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, Library Science Teachers, Postsecondary faces moderate automation pressure. While tasks like large language model automation of analysis tasks are increasingly handled by AI, the role retains significant human elements. The 4,100 workers in this occupation should focus on strengthening skills in mentoring students through personal and academic challenges and inspiring and motivating students through personal connection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Library Science Teachers, Postsecondary?

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

โš ๏ธ Top Risk Factors

1

Large language model automation of analysis tasks

2

AI tutoring systems providing personalized instruction

3

Automated data interpretation and insight generation

4

Automated grading and assessment tools

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Mentoring students through personal and academic challenges

โœ“

Inspiring and motivating students through personal connection

โœ“

Developing creative and engaging hands-on lessons

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

Conduct research in a particular field of knowledge and present findings in professional journals, books, electronic media, or at professional conferences.

โ€ข

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

โ€ข

Keep abreast of developments in the field by reading current literature, talking with colleagues, giving presentations at conferences, and serving on committees in professional associations.

โ€ข

Prepare and deliver lectures to undergraduate or graduate students on topics such as collection development, archival methods, and indexing and abstracting.

โ€ข

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

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Computer based training software

โ€ข

Object or component oriented development software

โ€ข

Calendar and scheduling software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

English Language

โ€ข

Education and Training

โ€ข

Computers and Electronics

โ€ข

Customer and Personal Service

โ€ข

Communications and Media

๐Ÿ“Š vs National Average

Median Wage$79K
+$32K

National avg: $46K

Risk Score54/100
+10

National avg: 44/100

GenAI Exposure95/100
+57

National avg: 38/100

Projected Growth3.0%
-0.7%

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%