AI Resilience Report forEconomics Teachers, Postsecondary

Right now, AI is mostly augmenting — not replacing — the work of college economics professors. The tasks getting the biggest boost are exactly the behind-the-scenes ones: building syllabi, writing homework problems, drafting handouts, and picking readings. A recent guide in the Journal of Economics Teaching ^[1] walks econ instructors through using ChatGPT for grading, feedback, and tutoring, while flagging that the models still stumble on math-heavy economics problems.

The UK's Economics Network ^[2] lists practical wins like drafting lecture plans, generating counterarguments, and creating case studies, and points to new research showing ChatGPT can work as an "automated tutor for basic, knowledge-based questions" but lacks the depth to fully replace a human teacher. Researchers writing for the American Enterprise Institute ^[3] similarly describe economists using LLMs as research and writing assistants rather than substitutes. The most human parts of the job — advising students, holding office hours, attending campus events, and collaborating with colleagues — are barely touched, which matches the low automation scores for those tasks.

Adoption is happening, but cautiously. An Inside Higher Ed survey of 1,057 faculty ^[4] found about a quarter of professors don't use AI tools at all and 9 in 10 worry it will weaken students' critical thinking, while NPR reports ^[5] that roughly 85% of undergrads already use AI for coursework — pressuring professors to respond. Cost is low (many tools are free or campus-licensed), but social and ethical concerns about cheating, bias, and over-reliance are slowing things down.

Importantly, the Bureau of Labor Statistics ^[6] projects postsecondary teaching jobs to grow 7% through 2034 — much faster than average — so AI looks set to reshape how economics is taught, not eliminate the teachers themselves. Your ability to mentor, explain, and connect with students remains the part no chatbot can copy.