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Library science professors

Official title Library Science Teachers, Postsecondary (SOC 25-1082)

Also called LIS professor, Information science professor, Library science faculty, iSchool professor, MLIS program faculty

In brief

In May 2025, BLS counted 3,630 US library science professors, with median pay of $80,340 a year. Of the BLS counts since 2003, the highest was 5,010, in May 2017. The earliest figure here is an estimate of 120 from 1900, not measured the same way as today's count. The last full technology era for library science professors: AI discovery and AI-assisted cataloging, 2015 to 2022.

What the sources say

Official outlook

BLS projects employment to grow 2.7% from 2025 to 2035.

BLS Employment Projections 2025-35

AI exposure studies

Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. BLS publishes these counts as yearly survey snapshots and cautions against reading them as a precise trend. In May 2021 BLS changed how it estimates these counts (a model-based method using three years of survey data) and moved fully to the 2018 occupation codes, so part of a change across 2021 can come from the method rather than the work.

Last updated .

Cite this page
APA

Future History. (2026, October 11). Library science professors: jobs and pay since 1900 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/25-1082

Chicago

Future History. "Library science professors: jobs and pay since 1900." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/25-1082.

BibTeX

@misc{futurehistory_25_1082, author = {{Future History}}, title = {Library science professors: jobs and pay since 1900}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/25-1082}}, note = {Last updated 2026-10-11. Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35}, }

The access date is today's date on your device.

drag to travel through time
19001925195019752000now
2026
Known then as Library School Instructor (training-program era)
Known then as Library Science Instructor / Professor (graduate school era)
Known then as Library Science Professor (MLS-entry standard era)
Known then as Library and Information Science Professor (LIS rebranding era)
Known then as Library Science Teachers, Postsecondary / iSchool Faculty (BLS SOC 25-1082)
Known today as Library Science Teachers, Postsecondary / iSchool Faculty (BLS SOC 25-1082)
Projected to still be called Library Science Teachers, Postsecondary / iSchool Faculty (BLS SOC 25-1082)
Data from the May 2025 survey
US Employment
4K
Est.

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$80,340
Est.

≈ $78,280 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1887

Melvil Dewey opened the School of Library Economy at Columbia College on January 5, 1887, with 20 students, 17 of them women, admitted against the wishes of the college's regents. The school is recognized as the first library school in the world. Dewey's insistence on admitting women was both a principled decision and a recognition that women already dominated the library workforce and would continue to do so.

Beat · 1923

The Williamson Report, commissioned by the Carnegie Corporation and authored by Charles C. Williamson, was published in 1923 under the title "Training for Library Service." It identified systematic weaknesses across all US library schools: varying admission standards, inadequate fieldwork, poor facilities, and the absence of a clear distinction between professional and sub-professional library work. The report directly prompted the Carnegie Corporation to fund the University of Chicago Graduate Library School (1926), the first research-focused library doctoral program in the world, and established the framework for ALA accreditation that followed in 1933.

Beat · 1951

The Master of Library Science (MLS) became the standard entry-level professional degree for librarianship in 1951, following the ALA's adoption of new accreditation standards and the shift of 27 of 32 accredited schools to the new degree format in 1948. This formalized the distinction between professional librarians (MLS-required) and library technicians (not), and created the demand for research-doctorate faculty who could teach at the graduate level. The MLS standard is the single most important structural development in defining what library science teachers, postsecondary were expected to teach and who was qualified to teach it.

Beat · 1974

Syracuse University renamed its School of Library Science to the School of Information Studies in 1974, becoming the first institution to drop "library" from its name. This was the opening move of the iSchool transformation. By the late 1990s and 2000s, a significant number of programs had renamed themselves (Michigan, Washington, Illinois, UNC, Texas), with the iSchool Caucus formally organized in 2003 as the "iSchools." The renaming created a two-track professional identity for faculty: those who maintained library science as their primary field versus those who identified with the broader information science domain, with different research communities, citation networks, and career paths.

Beat · 1989

The University of Chicago Graduate Library School, the oldest and most intellectually influential research library program in the country, closed in 1989 after 63 years. Columbia's School of Library Service closed in 1992. Both closures reflected the same structural problem: small, expensive graduate programs struggling to justify their cost to university administrators who could not see the field's path to scale. The Chicago closure ended the program that had produced the first library science PhDs, launched The Library Quarterly, and trained most of the field's leading researchers. It remains a marker in LIS historiography of what happens when institutional commitment to a field is withdrawn.

How to read this number

OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.

Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.

Official statistic: Copied by a script from a statistics agency table or a published study's table, not retyped by hand. BLS figures and the forecast and exposure tables are also re-checked against that table on every data run. Researched context: Researched from the cited source rather than copied from it by a script, so it is not machine-checked yet. Spot a mistake? Each figure has a “Report an error” link.

Cited forecasts · present → 2035

Will AI replace library science professors? What the research says

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, we show the disagreement rather than an average.

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, the spread is the honest signal.

What published forecasts say
Forecast change in the number of people doing this work, as published by each named source. Bars share one scale on every role, centred on zero and reaching the end at ±30%. Grey marks a small change, 3% or less either way.
BLS Employment Projections 2025-35
→ 2035
+2.7%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 25-1082 (Library science teachers, postsecondary): 4.5 thousand jobs in 2025, projected 4.6 thousand in 2035, a change of +0.1 thousand (+2.7%). Matrix employment counts all jobs in the occupation, including self-employed workers. The average for all occupations in this cycle is +3.5%.
Official statisticReport an error
How exposed is this work to AI (research measures)
Scores as published by each study. Each row says what it measures. These measure what AI could technically do, not forecasts of jobs lost.
Eloundou et al. (2023), "GPTs are GPTs"
2023 study · Share of tasks exposed to LLMs (β, human-rated)
42.6%
of tasks
What this measures

Published occupation-level exposure from the paper's occ_level.csv for O*NET-SOC 25-1082.00 Library Science Teachers, Postsecondary. Shown: human-rated β = 0.426, the share of the occupation's tasks an LLM could do in at least half the time at equal quality, counting tasks that need LLM-powered software at half weight (β = E1 + 0.5 × E2). Other published measures for this occupation: human-rated α (LLM alone) 0.234 and γ (all LLM-assisted) 0.617; GPT-4-rated β 0.511. This measures how much of the work an LLM could touch, not how many jobs disappear.

Official statisticReport an error
Today, in this role

What's changing day to day for library science professors

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is sitting alongside you herePrepare course materials for MLIS courses (syllabi, annotated reading lists, cataloging exercise datasets, reference scenario handouts, LibGuide assignment briefs, information literacy instruction plan templates, and collection development policy writing guides) using ChatGPT or Claude to accelerate first-draft production, then applying LIS domain expertise to validate accuracy of catalog records, currency of standards references (RDA vs

Prepare course materials for MLIS courses (syllabi, annotated reading lists, cataloging exercise datasets, reference scenario handouts, LibGuide assignment briefs, information literacy instruction plan templates, and collection development policy writing guides) using ChatGPT or Claude to accelerate first-draft production, then applying LIS domain expertise to validate accuracy of catalog records, currency of standards references (RDA vs. BIBFRAME updates, LCSH policy changes), and alignment with ALA core competencies and program learning outcomes.[5],[11]

Where your edge is

ChatGPT and Claude can generate a solid first-draft syllabus for an MLIS reference and information services course (with learning objectives, a reading schedule, and assignment prompts) in minutes. The LIS-specific investment is in validating that the catalog records in the cataloging exercise are actually correct per RDA and current LCSH policy, that the "information behavior" readings cited are accurate bibliographic references (AI frequently hallucinates publication years and journal volumes for LIS literature), and that the assignment design reflects current practitioner workflows rather than pre-AI-era practices. Use NotebookLM to build course-material study guides from assigned readings that MLIS students can query asynchronously for factual review, preserving class time for the discussion, hands-on exercises, and scenario-based instruction that online MLIS programs are replacing with passive video viewing.

AI is sitting alongside you hereEvaluate and grade MLIS student assignments (annotated bibliographies, reference interview analyses, cataloging exercises, information literacy instruction plans, collection development policies, and capstone research papers) using Gradescope's AI-assisted answer grouping to cluster similar student responses for rubric-efficient grading of structured exercises, then applying domain expertise to assess the quality of students' professional reasoning about information organization, patron interaction, and source evaluation.

Evaluate and grade MLIS student assignments (annotated bibliographies, reference interview analyses, cataloging exercises, information literacy instruction plans, collection development policies, and capstone research papers) using Gradescope's AI-assisted answer grouping to cluster similar student responses for rubric-efficient grading of structured exercises, then applying domain expertise to assess the quality of students' professional reasoning about information organization, patron interaction, and source evaluation.[12],[13]

Tools picking this up
Where your edge is

Gradescope's answer grouping is particularly well-suited for structured MLIS exercises where there are correct and incorrect answers: cataloging assignments with MARC fields, annotated bibliography entries with verifiable citation accuracy, and reference interview dialogue analyses with scorable elements. Deploy it for all written exercises where your rubric has objectively-assessable criteria, and apply your expert professional judgment to the qualitative dimensions that matter most: does this annotated bibliography entry actually evaluate the source's authority and bias rather than just summarize it? Does this cataloging record reflect genuine understanding of why the subject heading choice matters for patron access? AI detection (Turnitin) is a signal for closer review on writing-intensive assignments, not a substitute for reading with expert LIS eyes.

AI is sitting alongside you hereConduct original research in library and information science (information behavior, digital preservation, knowledge organization, health informatics, AI in libraries, information ethics, or library management) using Elicit and Scite for AI-assisted systematic literature review, NotebookLM for research synthesis, and publishing findings in journals such as College & Research Libraries, Library Quarterly, Journal of the American Society for Information Science and Technology, or presenting at ALISE, ASIST, and ALA Annual Conference.

Conduct original research in library and information science (information behavior, digital preservation, knowledge organization, health informatics, AI in libraries, information ethics, or library management) using Elicit and Scite for AI-assisted systematic literature review, NotebookLM for research synthesis, and publishing findings in journals such as College & Research Libraries, Library Quarterly, Journal of the American Society for Information Science and Technology, or presenting at ALISE, ASIST, and ALA Annual Conference.[14],[15]

Where your edge is

Elicit's semantic search across 200M+ papers and Scite's citation-context analysis (supporting vs. contrasting vs. mentioning citations) compress the literature-mapping phase of LIS research to hours, with the added benefit that Scite flags retractions and citation distortions that manually-compiled literature reviews frequently miss. Keep the research question formulation, the methodological design (whether a user study requires qualitative methods or log analysis, which IRB protocols apply, how to operationalize "information behavior" for your population), and the interpretive contribution as the irreducibly human intellectual core: these are what ALISE reviewers, tenure committees, and journal editors evaluate. Researchers whose systematic reviews now take a fraction of former time can publish more, but only if the human contribution is substantive enough to clear peer review.

Where library science professors go next

Natural next steps for someone with your foundation: not exits, evolutions.

What each move takes

A direction you could grow

Education Administrators, Postsecondary

LIS faculty who have served on ALA accreditation self-study teams, led MLIS curriculum revision committees, chaired program assessment working groups, or directed library school distance education programs have directly developed the skill set for associate dean, dean, or program director roles in iSchools and broader colleges of computing and information. The CRI increase reflects that postsecondary education administration (+7% BLS 2024-2034) is growing and moderately AI-augmented (with AI tools for enrollment analytics, accreditation documentation, and program assessment dashboards that administrators deploy) while the strategic leadership, governance authority, and stakeholder management of the role are highly resistant to AI displacement. The faculty-to-administration path in LIS programs is well-structured, with clear stepping-stones through program director and associate dean roles in iSchool units.

What you'd add
  • · ALA Committee on Accreditation self-study authorship: evidence-based documentation of MLIS program quality across all ALA accreditation standards; continuous improvement planning; site visit preparation and response
  • · Higher education budget management: faculty line planning, operating budget requests, online program revenue modeling, grant overhead negotiation for IMLS and state library development grants
  • · Enrollment management for MLIS programs: pipeline partnerships with libraries and information organizations, scholarship design for underrepresented populations in LIS, transfer and articulation agreements with community college library technician programs
  • · IMLS grant writing and management: Institute of Museum and Library Services Laura Bush 21st Century Librarian Program grant applications; reporting requirements and program evaluation for federal grant-funded LIS programs
  • · Faculty recruitment and tenure review: search committee leadership for LIS faculty positions; promotion and tenure facilitation; faculty development programming for AI integration in LIS instruction and research
What it takesSome new skills to pick up
Tools of the era

How has the work of library science professors changed since 1887?

The tools that defined the work, one line per era. Select an era to see how it reshaped the work.

  • Card catalog and printed classification schedules (Dewey Decimal and LC)

    The first library school instructors taught with the tools Melvil Dewey had systematized: the card catalog, the Dewey Decimal Classification (published 1876), and the Library of Congress classification schedules. Instruction was largely hands-on: students practiced physically filing catalog cards, assigning Dewey numbers from printed schedules, and writing descriptive entries by hand. The definitive reference tool was the printed dictionary catalog and the ALA Catalog rules. Teaching cataloging in this era meant transmitting a set of expert procedures that required practice and memory. There was no technology between the faculty member's knowledge and the student's hands; the craft was demonstrated and drilled.

  • Research library and scholarly bibliography (Library Quarterly era, 1931)

    The University of Chicago Graduate Library School, funded by Carnegie in 1926 and offering only the PhD, transformed the faculty role from practitioner-instructor to research scholar. The launch of The Library Quarterly in 1931 established the disciplinary infrastructure for an academic field: peer review, citation norms, a shared literature. Faculty at the emerging doctoral programs were now expected to produce original research on library administration, information behavior, and bibliographic organization alongside their teaching. The distinction between a library school professor and a practicing librarian began to solidify in this era. The core teaching technology remained the card catalog and printed bibliographic tools, but the intellectual framework shifted from pure craft transmission to empirical inquiry.

  • MARC format, online catalogs, and information retrieval systems (DIALOG 1972)

    The Library of Congress introduced the MARC (Machine-Readable Cataloging) format in 1966, and OCLC (Online Computer Library Center) launched its shared cataloging database in 1971. These were the two most important technology events in library science between Dewey's card catalog and the public internet. Faculty now had to teach not only the intellectual content of cataloging but also how to create and interpret machine-readable records. The DIALOG retrieval system (launched commercially in 1972) introduced online database searching as a new professional skill, requiring faculty to add information retrieval to their curriculum. The terminal and the MARC workstation entered the classroom. For the first time, library science faculty were teaching students to use computer systems, not just physical tools.

    Effect on the work

    The MARC era did not reduce faculty positions, but it fundamentally restructured what those faculty needed to know. Programs that could not hire faculty fluent in the new technical standards began falling behind professionally, accelerating the closures of the 1980s.

  • CD-ROM databases, Integrated Library Systems, and early internet (1993)

    CD-ROM bibliographic databases (InfoTrac, Wilsondisc, MEDLINE on CD) arrived in academic libraries in the mid-1980s and became standard teaching tools in LIS programs through the early 1990s. OPAC (Online Public Access Catalog) systems from vendors like NOTIS, Innovative Interfaces, and DRA replaced card catalogs at most academic libraries during this decade. The World Wide Web arrived in 1991-1993 and transformed the information landscape: LIS faculty had to add web searching, URL stability, and digital source evaluation to curricula almost immediately. This decade is also when the "LIS rebranding" accelerated: faculty who had come up through traditional librarianship increasingly needed to credential themselves in computer science, information systems, or human-computer interaction to teach in the evolving programs. The Graduate Library School at Chicago closed in 1989; Columbia's School of Library Service closed in 1992.

    Effect on the work

    The combination of program closures (Chicago 1989, Columbia 1992, and others through the decade) and the field's restructuring around digital information systems reduced the total LIS faculty pool in the late 1980s and early 1990s, even as the intellectual scope of what those faculty needed to teach expanded dramatically.

  • iSchool era: digital libraries, metadata standards, and online MLIS programs

    The iSchool movement formalized in 2003 when the "Gang of Ten" (Michigan, Washington, Illinois, UNC, Florida State, Indiana, Texas, Pittsburgh, Syracuse, Drexel) organized as the iSchools Caucus. The rebranding from "library school" to "iSchool" or "School of Information" was partly a response to declining enrollment in programs with "library" in their name and partly a genuine intellectual expansion into human-computer interaction, data curation, knowledge management, and social informatics. For faculty, this meant a hiring and tenure shift: new faculty lines increasingly went to information systems researchers, HCI specialists, and data scientists rather than traditional cataloging or reference faculty. Elsevier's ScienceDirect, EBSCO's Discovery Service, ProQuest, and Ex Libris Primo became the teaching and research platforms. Online MLIS programs expanded substantially, increasing adjunct and clinical faculty demand.

  • AI discovery and AI-assisted cataloging (Ex Libris Alma AI, OCLC AI cataloging)

    Library technology vendors began embedding machine-learning features into ILS platforms during this period. OCLC's AI-assisted cataloging tool auto-suggests MARC fields, subject headings, and authority links, reducing per-record cataloging time for standard materials. Ex Libris integrated AI-powered discovery ranking and personalized recommendations into Primo VE. Springshare added AI-assisted chat triage to LibAnswers. For LIS faculty, these changes created a new instructional layer: students now needed to learn not only how to catalog but how to supervise AI-generated catalog records, recognize systematic bias in AI-suggested subject headings, and make the authority-file judgment calls the AI could not reliably make.

  • Generative AI and the AI literacy moment (ChatGPT, Elicit, Perplexity, 2022-present)

    The launch of ChatGPT in November 2022 placed LIS faculty in an unprecedented position: the core competency their discipline has always claimed (evaluating information sources, understanding how retrieval systems work, teaching critical assessment of AI-generated content) became the most urgently demanded competency in higher education. The ACRL published an AI Literacy Competency Framework for Academic Libraries in 2025, explicitly positioning LIS faculty and the academic librarians they train as the campus authority on responsible AI information use. ALISE established an AI in LIS Education Working Group (2025) with recommendations for integrating AI literacy, AI ethics, and AI-era information retrieval into MLIS and PhD curricula. Elicit (semantic search across 200M+ papers), Scite (smart citation analysis), and Perplexity became both research tools for LIS faculty and the subject matter of their courses.

    Effect on the work

    ALISE's 2025 statistical report and the College and Research Libraries survey (2025) found 78% of LIS faculty revising curriculum in response to AI developments, with 61% identifying AI literacy instruction as the top new competency for MLIS graduates. Rather than contracting the faculty role, the AI moment appears to be expanding its scope: LIS programs are adding AI literacy components to existing courses and, in some cases, creating new faculty positions in AI and information science.

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Library Science Teachers, Postsecondary employment and pay by year

On record since1887
Latest US employment3,630 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$80,340 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook+2.7% by 2035Source: BLS Employment Projections 2025-35Official statisticReport an error
View all 31 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
1900120n/aEst., Richardson, J.V Researched contextReport
1930350n/aEst., UCLA Department of Information Studies Researched contextReport
1955650n/aEst., Richardson chronology Researched contextReport
1965n/a$9,800Est., AAUP Faculty Compensation Survey… Researched contextReport
19751,400n/aEst., American Library Association Researched contextReport
1980n/a$24,500Est., AAUP Faculty Compensation Survey 1979-80 Researched contextReport
19901,100n/aEst., Richardson chronology Researched contextReport
20001,100$52,000Est., ALISE Statistical Report 2000 Researched contextReport
20034,110$50,940BLS OEWS May 2003 Official statisticReport
20043,740$51,600BLS OEWS May 2004 Official statisticReport
20053,960$53,810BLS OEWS May 2005 Official statisticReport
20063,830$54,570BLS OEWS May 2006 Official statisticReport
20074,080$56,810BLS OEWS May 2007 Official statisticReport
20083,960$58,570BLS OEWS May 2008 Official statisticReport
20093,940$60,650BLS OEWS May 2009 Official statisticReport
20104,370$62,720BLS OEWS May 2010 Official statisticReport
20114,410$65,110BLS OEWS May 2011 Official statisticReport
20124,510$65,780BLS OEWS May 2012 Official statisticReport
20134,670$67,740BLS OEWS May 2013 Official statisticReport
20144,540$66,580BLS OEWS May 2014 Official statisticReport
20154,910$67,660BLS OEWS May 2015 Official statisticReport
20164,870$68,410BLS OEWS May 2016 Official statisticReport
20175,010$70,940BLS OEWS May 2017 Official statisticReport
20184,650$71,560BLS OEWS May 2018 Official statisticReport
20194,390$71,410BLS OEWS May 2019 Official statisticReport
20204,230$71,580BLS OEWS May 2020 Official statisticReport
20214,330$77,100BLS OEWS May 2021 Official statisticReport
20224,330$76,370BLS OEWS May 2022 Official statisticReport
20234,220$80,310BLS OEWS May 2023 Official statisticReport
20244,100$78,630BLS OEWS May 2024 Official statisticReport
20253,630$80,340BLS OEWS May 2025 Official statisticReport
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