Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Social Work Prof.:
43.6%
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 forSocial Work Teachers, Postsecondary
$77,570 median salary•1,100 annual openings•SOC Code: 25-1113.00
Social Work Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Social work professors are labeled "Somewhat Resilient" because AI is genuinely changing parts of their workflow, like drafting syllabi, managing gradebooks, and writing reports, even though the heart of the job stays very human. The behind-the-scenes, paperwork-heavy tasks are being automated at a meaningful pace, which means professors who do not adapt to using these tools may find themselves falling behind colleagues who do.
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Social work professors are labeled "Somewhat Resilient" because AI is genuinely changing parts of their workflow, like drafting syllabi, managing gradebooks, and writing reports, even though the heart of the job stays very human. The behind-the-scenes, paperwork-heavy tasks are being automated at a meaningful pace, which means professors who do not adapt to using these tools may find themselves falling behind colleagues who do.
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Social Work Prof.
Updated Quarterly
How is AI changing Social Work Prof. jobs?
Right now, AI is mostly augmenting — not replacing — social work professors. The tasks getting the biggest AI boost are the behind-the-scenes ones like pulling together bibliographies, drafting syllabi, and organizing gradebooks. An EDUCAUSE study of higher-ed work [1] found that faculty and staff see the top AI opportunities as automating repetitive processes (70%), offloading administrative burdens and mundane tasks (65%), and analyzing large datasets (60%).
In social work specifically, a NASW national survey published in 2026 [2] reported that AI is used to manage routine tasks that can consume hours of a social worker's day: drafting emails, correspondence, reports, and documentation; providing administrative assistance; and conducting research. The Journal of the Society for Social Work and Research [3] urges educators to weave AI literacy—the knowledge and skills to understand, use, and critically evaluate AI systems into core competencies. Meanwhile, the deeply human parts of the job — mentoring new faculty, advising student groups, and joining community events — remain almost untouched, because a 2026 Frontiers analysis [4] warns that labor substitution and the pervasive use of algorithmic surveillance threaten the integrity of pedagogical processes when AI goes too far.
Sources
How fast is AI adoption growing for Social Work Prof.?
Adoption is happening, but carefully. The Council on Social Work Education's 2026–2030 Strategic Plan [5] explicitly commits to anticipate the implications and opportunities of artificial intelligence (AI) and other disruptive technologies, signaling institutional support. Costs are low — ChatGPT-style tools are cheap and already inside platforms like Canvas, which Inside Higher Ed reports [6] partnered with OpenAI to integrate native AI tools for faculty.
But ethics slows things down: the NASW survey [2] found two-thirds of respondents said the profession's most pressing need is clear guidelines on the ethical use of AI in social work, alongside stronger client protections, and more training. For a field built on trust, empathy, and protecting vulnerable people, professors will likely keep using AI as a helper for paperwork while guarding the mentorship and relationship-building that make social work education meaningful — skills that stay valuable no matter how smart the software gets.
Sources
Will AI replace Social Work Prof.?
Not entirely. We think AI will take over some tasks, but not the whole job.
Our 43.6% AI Resilience Score puts this career below average, and that's worth taking seriously. The job market through 2034 is soft, meaning fewer openings and slower growth than most fields. So the pressure here is real, and we won't pretend otherwise.
That said, AI is mostly handling the behind-the-scenes work right now, not the teaching itself. Tools built into platforms like Canvas are helping faculty automate repetitive processes, cut administrative burdens, and analyze data (insidehighered.com, educause.edu). In social work specifically, AI is used to draft emails, reports, and documentation, freeing up time for the harder work [2]. The deeply human parts of the job, including mentoring students, advising, and building community relationships, remain largely untouched.
What keeps this role from sliding further is the irreplaceable ethical core of social work education. Two-thirds of social work professionals say the field's most urgent need is clear ethical guidelines for AI use [2], and a Frontiers analysis warns that over-reliance on algorithmic tools can threaten the integrity of teaching itself [4]. The Council on Social Work Education is actively shaping how AI fits into the profession [5]. Professors who learn to use AI wisely, while holding onto the human judgment the field demands, will stay relevant.
Sources
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Latest AI news for Social Work Prof.
The recommended articles highlight the growing influence of AI in education, particularly for postsecondary social work teachers. For instance, the Penn State faculty's efforts to incorporate generative AI in the classroom show how educators can leverage technology to enhance learning experiences. Additionally, the debate over AI's role in academic integrity, as seen in the concerns raised by a Brown University professor, emphasizes the need for social work educators to address ethical implications. By understanding and adapting to these developments, future social work teachers can build resilience in their careers and effectively prepare students for a technology-driven world.
A U.S. prof suspects most of his students used AI to cheat. It's a growing concern here, too
www.cbc.ca • 7/20/2026
A Brown University professor has gone public about what appears to be a large-scale case of cheating using generative AI.
To adopt or to ban? Student perceptions and use of generative AI in higher education
www.nature.com • 11/7/2025
The rapid rise of Generative Artificial Intelligence (GenAI) tools such as ChatGPT has sparked debate regarding their impact on higher...
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.
Education faculty explore AI in the classroom
www.psu.edu • 12/3/2024
Penn State College of Education faculty members are working to help students harness the powers of generative artificial intelligence by...
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: Social Work Teachers, Postsecondary
They teach college students how to help people solve personal and social problems, preparing them for careers in social work.
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Employment & Wage Data
Median Wage
$77,570
Jobs (2025)
16,000
Growth (2025-35)
+2.6%
Annual Openings
1,100
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
Act as advisers to student organizations.
2
Mentor new faculty members.
3
Supervise undergraduate or graduate teaching, internship, and research work.
4
Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.
5
Participate in campus and community events.
6
Perform administrative duties, such as serving as department head.
7
Supervise students' laboratory and field work.
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.
