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Sociology Teachers, Postsecondary

Scrub through 144years of this role's history, from when it first emerged, through every wave of technology that reshaped it, to the cited projections for where it's heading next.

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19001925195019752000now
2026
Known today as Sociology Teachers, Postsecondary (BLS SOC 25-1067)
Latest actual · 2024
15K
O*NET / BLS OEWS May 2024 figure for SOC 25-1067. The BLS national employment matrix projects 15,400 in 2024 growing to 15,700 by 2034 (+2.1%), classified as slower-than-average growth relative to the all-occupations average. Employment is almost entirely concentrated in educational services (99.7%), with 64.5% in state and local public institutions and 35.2% in private nonprofit colleges and universities.
Latest actual · 2024
$82,540
BLS OEWS May 2024, sourced via O*NET 25-1067.00. The median annual wage of $82,540 covers all full-time and part-time sociology postsecondary instructors. The BLS OES May 2025 separately reports a mean annual wage of $103,610 for 25-1067 (the mean is higher than the median because highly compensated full professors at research universities pull the mean upward; the median is more representative of the typical working sociology instructor, who includes many non-tenure-track lecturers). Employment is concentrated at public universities and community colleges where wages are generally lower than at elite private research institutions.
Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.
Beat · 2025

The American Sociological Association convenes a webinar titled "Challenges and Opportunities: Teaching Sociology in the Age of Artificial Intelligence," signaling that the discipline has accepted AI tools as a permanent condition rather than a temporary disruption. Faculty panelists identify the core tension: generative AI can perform many of the preparatory and administrative tasks that consume sociology faculty time (syllabus drafting, quiz generation, literature synthesis, initial qualitative coding), but the irreducible core of sociology pedagogy -- facilitating the sociological imagination, moderating discussions of race and inequality with students holding opposing lived experiences, supervising IRB fieldwork, and mentoring dissertation research -- cannot be delegated to any AI system. The webinar marks a professional consensus point: sociology faculty who adopt AI tools become more productive; the discipline's irreducible human core remains intact.

Tools of the era

The tools that defined the work

Select an era to see how it reshaped the work.

  • Chalkboard lecture + library card catalog + handwritten field notes

    The founding generation of sociology faculty had no specialized tools beyond the university library, the printed monograph, and handwritten field notes. Albion Small and the Chicago School faculty (Robert Park, Ernest Burgess, W.I. Thomas) conducted urban ethnography on foot, carried notebooks into Chicago neighborhoods, and analyzed their findings through sustained reading and argumentation. The card catalog was the only information retrieval technology; seminar discussion was the only pedagogical technology. Teaching sociology in 1892-1940 meant the professor's embodied knowledge and rhetorical skill were literally the entire curriculum delivery mechanism.

    Work toolChanging equipment

  • IBM punch-card tabulation + survey research methods

    The 1940s-1950s saw sociology acquire its first quantitative tools. The Columbia Bureau of Applied Social Research (Paul Lazarsfeld, Robert Merton) pioneered survey research and IBM punch-card tabulation to analyze large datasets of public opinion and social behavior. The tabulating machine allowed sociologists to cross-tabulate hundreds of survey responses in hours rather than weeks. For faculty, this meant two things: the emergence of a research methodology (survey-based, quantitatively analyzed) that could be taught as a rigorous curriculum, and the transformation of sociology graduate training from primarily theoretical seminars to methods training that included statistical analysis.

    Effect on the work

    Punch-card tabulation brought postsecondary sociology into alignment with a new "scientific" standard for social research. Departments that adopted quantitative methods attracted federal funding (NSF social science grants began in the 1950s) and prestige; departments that remained purely qualitative faced pressure to modernize. This bifurcation between quantitative and qualitative wings of sociology persists to the present.

    Punch-card systemsBatch accounting

  • SPSS mainframe statistical software (1968) + mimeograph / photocopier

    SPSS (Statistical Package for the Social Sciences) launched in 1968 at Stanford and became the dominant tool for sociology faculty conducting quantitative research and teaching statistics. Before SPSS, running a multivariate regression required punching individual data cards and submitting a batch job to the university mainframe. SPSS made regression, crosstab, and factor analysis accessible to sociologists who were not mathematicians. By the mid-1970s, SPSS was a required tool in most sociology PhD programs and was taught in graduate methods courses. The photocopier (Xerox 914, 1959; widely deployed in universities by the late 1960s) transformed how syllabi and readings were distributed, allowing faculty to assemble course packets from journal articles rather than relying on a single assigned textbook.

    Effect on the work

    SPSS accelerated the quantitative research output of sociology departments and established a clear expectation that sociology PhD students would graduate with statistical competency. It also widened the gap between quantitative and qualitative methodological wings: faculty who embraced SPSS gained a competitive advantage in grant applications and journal publishing, while those focused on ethnography or historical methods faced pressure to demonstrate methodological rigor in different ways.

    Mainframe processingComputerized records

  • Personal computer + early qualitative software (HyperRESEARCH 1991, ATLAS.ti 1993)

    The IBM PC (1981) and Apple Macintosh (1984) moved computing from the shared mainframe to the faculty office desk. By the late 1980s, sociology faculty were word-processing manuscripts, running SPSS on departmental PC labs, and conducting literature searches via early CD-ROM databases (Sociological Abstracts on CD-ROM, EBSCO). The arrival of dedicated qualitative analysis software, HyperRESEARCH (1991, Researchware) and ATLAS.ti (1993, Scientific Software Development, Berlin), gave qualitative researchers a tool parallel to what SPSS had provided quantitative researchers: a structured environment for managing, coding, and analyzing large bodies of interview transcripts and field notes. For sociology faculty teaching qualitative methods, ATLAS.ti transformed what could be assigned: a graduate seminar could now code 50 interview transcripts collaboratively in a shared project, a task previously impossible with paper index cards.

    Work toolChanging equipment

  • Internet + LMS (Blackboard 1997, Moodle 2002) + digital journal access

    The web transformed how sociology faculty prepared courses, distributed readings, and communicated with students. JSTOR (launched 1995, social sciences added 1997) and sociological abstracts databases gave faculty and students access to the full archive of the sociological literature from a desktop browser. Learning management systems: Blackboard (1997) and open-source Moodle (2002) replaced paper syllabi with online course hubs, enabled online discussion forums, and changed how assignments were submitted and returned. For sociology specifically, the internet enabled new research methods: online survey platforms (SurveyMonkey 1999, Qualtrics 2002) allowed faculty to recruit nationally representative samples rather than relying on convenience samples, while digital ethnography emerged as studying social behavior on forums, early social networks, and comment threads became a legitimate research method.

    Work toolChanging equipment

  • Computational social science tools (R, Python, Twitter API, NLP) + Zoom pedagogy

    The 2010s saw computational text analysis, network analysis, and machine learning move from computer science into mainstream sociology research. The availability of large social media datasets (Twitter Academic API, Facebook data partnerships), administrative records (census microdata via IPUMS, hospitalization records, tax records), and accessible R and Python libraries (tidytext, stm for topic modeling, igraph for network analysis) created a new subspecialty of computational sociology with dedicated courses in PhD programs. COVID-19 (2020) forced the entire discipline onto Zoom, accelerating adoption of hybrid pedagogy tools (polling software, breakout rooms, Slack for office hours) and creating demand for recorded lecture archives. Sociology departments that had resisted online education found themselves running fully remote courses with little infrastructure and compressed timelines.

    Effect on the work

    Computational methods created a skills stratification within sociology faculty: those who learned R or Python could analyze datasets of millions of records; those who did not found their research programs increasingly marginal in grant competitions and top-journal acceptance. Community colleges and teaching-focused institutions were largely unaffected by this shift but felt the COVID-forced online transition acutely.

    Work toolChanging equipment

  • Generative AI tools (ATLAS.ti AI Coding, MAXQDA AI Assist, ChatGPT Edu, Sonix, Packback)

    Starting in 2023, AI tools began touching nearly every day-to-day task of sociology faculty: large language models can draft lecture outlines, write quiz questions on Durkheim, and generate first-pass qualitative code structures across interview transcripts. ATLAS.ti's Intentional AI Coding and MAXQDA AI Assist automated what had been the most labor-intensive task in teaching qualitative methods: initial coding of interview transcripts. Sonix AI transcription reduced the manual interview-transcription burden (previously 8-10 hours per 2-hour recording) to under 10 minutes. The Federal Reserve's February 2026 analysis of educational exposure to generative AI placed social sciences among the most language-model-exposed academic disciplines, citing the text-heavy, interpretive nature of the work. The discipline's response, documented in the ASA's 2025 webinar and the Teaching Sociology journal, has been to reframe AI tools as objects of sociological analysis rather than labor-saving shortcuts: assigning students to critique AI-generated sociological analysis became a richer learning exercise than traditional take-home essays, and teaching AI literacy became a new curricular responsibility of sociology faculty.

    AI audit toolsPattern detection
Projection cone · present → 2034

What credible sources project

Scrub the slider past now to anchor each scenario on the scrubber. The spread is the range of futures credible sources project for this role.

Employment outlook
Projected change in the number of people doing this work.
BLS Occupational Outlook Handbook 2024-34 -- Postsecondary Teachers
→ 2034
+7%
BLS OOH projects all postsecondary teachers (25-1000 group) to grow +7% from 2024-2034, much faster than the all-occupations average. Included here as the broader sector context for sociology teachers: the favorable macro trend (more people attending college, more faculty needed overall) supports the occupation even while sociology-specific enrollment trends are less favorable. The OOH notes approximately 114,000 annual openings projected for postsecondary teachers, including those from retirements and role transfers. Sociology's share of these openings, given its current 1.1% share of total postsecondary faculty, implies roughly 1,250 openings per year for sociology teachers, consistent with the BLS occupation-level estimate of 1,100 openings annually.
BLS National Employment Matrix 2024-34
→ 2034
+2.1%
BLS Employment Projections 2024-34 cycle. The national employment matrix projects SOC 25-1067 growing from 15,400 (2024) to approximately 15,700 (2034), a change of +2.1% over the decade. This is classified as slower than the all-occupations average of +4% projected over the same period. The BLS methodology uses industry-occupation matrices and college enrollment forecasts; the overall postsecondary teachers group (25-1000) is projected to grow +7% due to rising enrollment, but within that group, sociology specifically trails the average because enrollment in sociology majors has been declining relative to STEM and business fields since the mid-2010s. The projection does not explicitly model AI automation impacts on faculty headcount.
AI task exposure
Share of the role’s tasks that researchers estimate AI can do. This is a measure of task exposure, not a forecast of jobs lost.
Federal Reserve FEDS Notes -- Educational Exposure to Generative AI (2026)
→ 2030
70%
of tasks
The Federal Reserve's February 2026 FEDS Notes paper on educational exposure to generative AI applied an AI exposure index to academic fields of study and instructional roles. Social sciences were placed among the highest-exposure academic disciplines, alongside business, finance, law, and humanities, because of their reliance on text generation, argument construction, literature review, and qualitative analysis tasks that LLMs can perform competently. The ~70% figure represents the Fed's estimated proportion of social science instructional tasks that have meaningful generative AI exposure. The paper explicitly distinguishes exposure from displacement: high exposure means high augmentation potential, not high job-loss risk, for a profession whose irreducible core (facilitating sociological reasoning, IRB fieldwork mentorship, dissertation advising) is genuinely AI-resistant.
Eloundou et al. -- "GPTs are GPTs" (2023)
→ 2028
62%
of tasks
GPT-4 task-by-task LLM exposure labeling on O*NET tasks for postsecondary teaching occupations. Postsecondary teachers as a group score high on Eloundou's exposure measure because the work is text-intensive, lecture-based, writing-heavy, and involves tasks (drafting syllabi, writing quiz questions, synthesizing literature, generating assignment feedback) that LLMs can assist with directly. The Federal Reserve (Feb 2026) extended Eloundou's framework to academic disciplines and placed social sciences among the most language-model-exposed fields, consistent with an exposure figure in the 55-70% range. The 62% here represents the estimated task-exposure share for sociology faculty, interpreted as: roughly 62% of the task hours in this occupation have some LLM tool that could meaningfully assist with them. This is not a prediction of 62% job loss; it is a measure of how much of the daily workload can be augmented by generative AI tools. Many of those tasks (lecture prep, quiz writing, literature synthesis) will be augmented rather than displaced, because the sociological judgment applied to the output remains the faculty member's irreplaceable contribution.
Today, in this role

What's shifting in the work right now

The historical view above shows how this role has moved. This is the present-day detail: which AI tools are picking up which tasks, where the edge still is, and the natural directions this work can grow.

What's changing in your day

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

AI is sitting alongside you hereTeach audio/video interview transcription in research methods courses — integrating Sonix AI into the fieldwork workflow so students submit recordings for automated transcription (99%+ accuracy, FERPA-compliant, exports directly to NVivo and ATLAS.ti), then spend their time on analysis and interpretation rather than manual transcription, and critically evaluate where AI speaker diarization and accuracy falter in real fieldwork conditions.

Teach audio/video interview transcription in research methods courses — integrating Sonix AI into the fieldwork workflow so students submit recordings for automated transcription (99%+ accuracy, FERPA-compliant, exports directly to NVivo and ATLAS.ti), then spend their time on analysis and interpretation rather than manual transcription, and critically evaluate where AI speaker diarization and accuracy falter in real fieldwork conditions.[12],[1]

Where your edge is

Manual interview transcription — 8–10 hours of work per 2-hour recording — has been the most universally resented task in sociology fieldwork training for decades. Sonix AI (99%+ accuracy, SOC 2 Type II certified, FERPA-compliant, exports to NVivo, ATLAS.ti, and standard subtitle formats) reduces this to under 10 minutes per interview. Build Sonix into the research methods workflow as the default: students submit recordings, get transcripts back in minutes, and spend the recovered time on the sociologically valuable work of analysis and interpretation. Then build a critical evaluation exercise: compare Sonix output to a 10-minute manual check of the same passage — where does speaker identification fail? Where does domain-specific vocabulary (names of community organizations, vernacular terms) get mangled? That critical evaluation exercise teaches both research rigor and AI literacy.

AI is sitting alongside you hereModerate online course discussion boards in large-enrollment sociology courses — replacing passive LMS discussion forums with Packback AI-moderated inquiry discussions that enforce curiosity standards and require students to pose open-ended sociological questions with citation-backed rationales, eliminating the low-effort one-paragraph response problem that plagues intro sociology online discussions.

Moderate online course discussion boards in large-enrollment sociology courses — replacing passive LMS discussion forums with Packback AI-moderated inquiry discussions that enforce curiosity standards and require students to pose open-ended sociological questions with citation-backed rationales, eliminating the low-effort one-paragraph response problem that plagues intro sociology online discussions.[13],[14]

Tools picking this up
Where your edge is

Low-effort online discussion posts ("Great point! I agree because...") are endemic to large-enrollment intro sociology courses and waste faculty grading time proportionally. Packback's AI moderation enforces a Curiosity Score that requires students to pose genuine questions, cite sources, and engage substantively — documented to produce 2x the citation rate and longer responses compared to standard LMS discussion boards. The AI coaching provides immediate feedback to students before submission, reducing the grading burden on faculty while raising the intellectual floor of the discussion. Reserve faculty engagement for the highest-curiosity posts that surface genuine sociological puzzles — those are the discussions that move the needle on student intellectual development and that AI cannot sustain through to resolution.

AI is sitting alongside you hereDesign, administer, and evaluate examinations, essays, and writing assignments in sociology courses — using Gradescope AI-assisted answer grouping to batch short-answer quiz responses for large-enrollment intro sociology courses, while reserving faculty judgment for essay assessments that require evaluating sociological reasoning, theoretical application, and empirical argumentation that AI cannot score reliably.

Design, administer, and evaluate examinations, essays, and writing assignments in sociology courses — using Gradescope AI-assisted answer grouping to batch short-answer quiz responses for large-enrollment intro sociology courses, while reserving faculty judgment for essay assessments that require evaluating sociological reasoning, theoretical application, and empirical argumentation that AI cannot score reliably.[15],[6]

Where your edge is

Deploy Gradescope for all sociology assessments with deterministic or near-deterministic answers — matching sociological theorists to their concepts, identifying research methods, labeling social structures from a vignette. Gradescope's AI-assisted grouping clusters similar student responses for batch grading, recovering significant time in courses with 100+ students. Use Turnitin's AI detection as a flag for closer scrutiny of essay submissions, not as standalone evidence of misconduct. For essay redesign, the Judson (2025) Teaching Sociology study documents three semesters of collaborative AI policy co-design in sociology courses: assignments requiring students to critique an AI-generated sociological analysis of a specific community or event — rather than produce analysis from scratch — are more learning-valid and substantially harder to outsource than traditional take-home essays.

Where this role is heading

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

A direction you could grow

Education Administrators, Postsecondary

Sociology faculty frequently move into department chair, associate dean for diversity and inclusion, dean of social sciences, or director of academic programs roles — particularly those who have led curriculum redesign for AI integration, chaired departmental DEI initiatives, managed accreditation reviews (HLC, SACSCOC), or served on institutional AI governance and academic integrity task forces. Sociology's disciplinary expertise in organizational dynamics, institutional racism, stratification, and social change is directly useful in higher education administrative contexts where faculty governance, equitable hiring, and student success policy are the primary concerns. The CRI increase reflects that postsecondary education administration is growing (+7% BLS 2024-2034) and that sociology-trained administrators bring a disciplinary framework for equity and organizational analysis that is increasingly valued in academic leadership hiring.

What you'd add
  • · HLC/SACSCOC/WASC accreditation self-study preparation, assurance argument writing, and continuous improvement documentation
  • · Higher education budget management: faculty line planning, course scheduling optimization, and research center budget oversight
  • · Faculty development programming: designing AI literacy workshops for sociology and social science faculty, facilitating assessment redesign for AI-resilient pedagogy
  • · University AI governance: developing departmental student AI-use policy frameworks, evaluating AI tools for institutional teaching and research deployment, coordinating academic integrity response protocols
  • · Enrollment management and program assessment: using institutional data dashboards to monitor sociology major enrollment trends, student success metrics, and program health indicators
What it takesSome new skills to pick up
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The data behind this timeline

On record since1892
Latest tracked employment15,400 (US, 2024)
Latest median pay$82,540 (2024)
Outlook+2.1% by 2034 (BLS National Employment Matrix 2024-34)
View all 26 cited data points
YearUS employmentMedian annual paySource
19201,500n/aESTIMATE
19504,200n/aESTIMATE
197014,000$12,000ESTIMATE
199016,200$38,000ESTIMATE
200313,990$52,770BLS-OEWS
200414,220$54,860BLS-OEWS
200514,980$54,320BLS-OEWS
200616,110$56,620BLS-OEWS
200716,130$58,160BLS-OEWS
200816,440$61,280BLS-OEWS
200916,380$64,430BLS-OEWS
201017,430$64,810BLS-OEWS
201117,250$66,250BLS-OEWS
201216,880$66,150BLS-OEWS
201317,200$67,940BLS-OEWS
201416,900$67,880BLS-OEWS
201516,160$69,230BLS-OEWS
201614,580$71,840BLS-OEWS
201713,630$73,080BLS-OEWS
201813,870$74,140BLS-OEWS
201913,850$75,290BLS-OEWS
202013,420$75,610BLS-OEWS
202112,550$77,980BLS-OEWS
202212,030$78,970BLS-OEWS
202312,870$82,670BLS-OEWS
202415,400$82,540BLS-OEWS
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