Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Postsecondary Library Sci:
43.3%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forLibrary Science Teachers, Postsecondary
$80,340 median salary•300 annual openings•SOC Code: 25-1082.00
Library Science Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 8 sources.
Library science professors are labeled "Somewhat Resilient" because AI is genuinely changing their day-to-day work in meaningful ways, even if it is not replacing them outright. Tools like ChatGPT are already helping with tasks like drafting syllabi and grading, and over 45% of library science jobs are expected to integrate AI by 2028, which means the content these professors teach is shifting fast.
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Library science professors are labeled "Somewhat Resilient" because AI is genuinely changing their day-to-day work in meaningful ways, even if it is not replacing them outright. Tools like ChatGPT are already helping with tasks like drafting syllabi and grading, and over 45% of library science jobs are expected to integrate AI by 2028, which means the content these professors teach is shifting fast.
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Postsecondary Library Sci
Updated Quarterly
How is AI changing Postsecondary Library Sci jobs?
Right now, AI is mostly augmenting library science professors rather than replacing them — but the changes are real, and they're happening fast. On the routine side, generative AI tools are already helping instructors draft syllabi, generate reading lists, and speed up grading. A recent survey of undergraduates found that 95% of students report using AI in at least one way and 94% say they use generative AI to help with assessed work, and nearly two-thirds (65%) of students say assessment has changed significantly in response to AI.
That means professors are rethinking exams, bibliographies, and attendance-tracking workflows to keep pace. In library science specifically, the integration of AI in library instruction ranges from using it to enhance student's ability to finding relevant literature to replacing human instruction with AI instruction, though the ACRL Research Planning and Review Committee notes that a huge chunk of class time now focuses on ethical use [1]. Meanwhile, Research.com's 2026 outlook [2] reports that over 45% of library science jobs are expected to integrate AI technologies by 2028, particularly in cataloging and metadata — the very topics these professors teach.
Sources
How fast is AI adoption growing for Postsecondary Library Sci?
Adoption is moving quickly on the content side (teaching AI literacy) but more slowly on the administrative side (grading, committees, advising). Speeding things up: commercial tools like ChatGPT, Primo Research Assistant, and Clarivate's platforms are cheap and easy for faculty to try. The American Library Association (ALA) Council has adopted "Guidance on the Use of Artificial Intelligence in Libraries," a new resource designed to help libraries develop and revise policies for the ethical, human-centered use of artificial intelligence, showing the field is officially engaging with AI.
Slowing things down: professors emphasize human judgment. American Libraries Magazine reports that Council approved the guidelines 114-0 [3] with an emphasis on responsible use, not replacement. A countermovement rejecting AI adoption and use has surfaced, opposing the pressure to be optimistic of AI, the opaqueness of AI integration in research tools, and the frequent outputs of misinformation.
And MastersInLibraryScience.org's 2026 review [4] highlights that MLIS programs are adding AI ethics coursework rather than cutting teaching jobs. The good news for you: skills like critical thinking, mentorship, committee work, and community engagement — the tasks with the lowest automation scores — are exactly what employers, professional societies, and students say they value most. Your human judgment is the part AI can't copy.
Will AI replace Postsecondary Library Sci?
Not entirely. We think AI will take over some tasks, but not the whole job.
Library science professors are already feeling real pressure. Generative AI tools are reshaping how students research and write, and over 45% of library science jobs are expected to integrate AI technologies by 2028, particularly in cataloging and metadata, the very topics these professors teach [2]. That shift means syllabi, reading lists, and assessment designs all need rethinking, and it is happening now.
Still, the core of this role stays human. Mentorship, ethical judgment, and the ability to guide students through genuinely hard questions about information and trust are not tasks AI handles well. MLIS programs are responding by adding AI ethics coursework rather than cutting teaching positions [4], and the American Library Association approved guidelines emphasizing responsible, human-centered AI use, not replacement [3]. The ACRL notes that a significant portion of class time now focuses on ethical use of AI [1], which is work that demands a thoughtful human in the room.
Our 43.3% AI Resilience Score reflects a career that faces genuine disruption but is not headed for elimination. The job market outlook is soft, so expect fewer open positions over time. But professors who lean into AI literacy, critical thinking, and community engagement will find their skills are exactly what this field needs most.
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Latest AI news for Postsecondary Library Sci
These articles highlight the evolving role of library science teachers in an AI-driven landscape. The merger of UNC schools into a ‘School of AI’ signifies a growing need for educators skilled in data and information science, emphasizing the importance of AI literacy, as discussed in the CBC article. With many postsecondary teachers facing AI exposure, as noted by University Business, it's crucial for future librarians to adapt and innovate their teaching methods. Embracing AI can enhance their resilience and relevance in an educational environment increasingly influenced by technology.
Challenge or threat? The double-edged sword effect of AI use on innovative teaching behavior among primary and secondary school teachers in China | Humanities and Social Sciences Communications
www.nature.com • 3/27/2026
With the rapid integration of artificial intelligence (AI) into educational practice, its influence on teachers' innovative teaching...
Are librarians the key for teaching AI literacy?
www.cbc.ca • 1/24/2026
Librarians teach students about research, media literacy, copyright and technology. This makes them perfect for teaching about the power and...
UNC schools of data science and information science to merge, forming unnamed ‘School of AI’
dailytarheel.com • 10/9/2025
The UNC School of Data Science and Society and the School of Information and Library Science will be consolidating into a new school focused...
Microsoft researchers have revealed the 40 jobs most exposed to AI—and even teachers make the list
fortune.com • 7/31/2025
Sorry, Gen Z: AI is expected to soon reshape dozens of popular professions—and possibly make some tasks obsolete.
College professors face the highest exposure to AI tools, study finds
universitybusiness.com • 3/24/2023
Of the 20 occupations most exposed to AI language modeling capabilities, 14 of them were postsecondary teachers.
More Career Info
Career: Library Science Teachers, Postsecondary
They teach college students how to manage and organize library resources, helping them understand how to find and use information effectively.
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Employment & Wage Data
Median Wage
$80,340
Jobs (2025)
4,500
Growth (2025-35)
+2.7%
Annual Openings
300
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Participate in campus and community events.
2
Act as advisers to student organizations.
3
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.
4
Perform administrative duties, such as serving as department head.
5
Collaborate with colleagues to address teaching and research issues.
6
Supervise undergraduate or graduate teaching, internship, and research work.
7
Initiate, facilitate, and moderate classroom discussions.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
