AI Resilience Report forSocial Sciences Teachers, Postsecondary, All Other

If you're thinking about teaching social sciences in college someday, here's some good news: AI is mostly showing up as a helper, not a replacement. New research from Anthropic suggests that professors are using AI for curriculum development, designing lessons, conducting research, writing grant proposals, managing budgets, grading student work and designing their own interactive learning tools. In that data, 57% of the conversations analyzed related to curriculum development, like designing lesson plans and assignments, while the second most common way professors used Claude was for academic research — this comprised 13% of conversations.

Educators also used the AI chatbot to complete administrative tasks, including budget plans, drafting letters of recommendation and creating meeting agendas. Importantly, professors tend to automate more tedious and routine work… But for other areas like teaching and lesson design, it was much more of a collaborative process — a pattern of augmentation rather than replacement. Adoption is climbing fast: a Tyton Partners survey found about 40% of administrators and 30% of instructors use generative AI daily or weekly — that's up from just 2% and 4%, respectively, in the spring of 2023.

Professional societies are reacting too — the American Political Science Association is running a 2026 symposium ^[1] acknowledging that political science instructors, whether they like it or not, must consider both the challenge and opportunity brought about by the ubiquity of GAI.

Adoption pressures are real, but social science faculty are pushing back thoughtfully. A January 2026 AAC&U/Elon University survey of 1,057 faculty ^[2] found that nine in 10 faculty members say that generative AI will diminish students' critical thinking skills, and 95 percent say its impact will increase students' overreliance on AI tools over time, and about a quarter of faculty don't use any AI tools at all, and about a third don't use them in teaching. Institutional readiness is also lagging — an EDUCAUSE report covered by EdTech Magazine ^[3] shows while most respondents (94%) say they have used AI tools for work within the past six months, only 54% are aware of their institutions' policies regarding AI use.

Ethical concerns, academic-freedom traditions, and the deeply human nature of mentorship and discussion-based learning slow full automation. On the optimistic side, BCG argues that ^[4] task automation doesn't equal job loss. Most roles will remain—but will change substantially.

So if you love studying people and societies, your future job is more likely to evolve than disappear — your judgment, empathy, and ability to lead real conversations are exactly what AI can't replicate.