Education · SOC 25-1063
Econometric research and data modeling are increasingly AI-augmented, but teaching economic reasoning and original scholarship stay human.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI will increasingly handle data analysis and model running within 3-5 years, but the interpretive and mentorship dimensions of economics faculty roles remain secure through 2030.
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$96,690 median pay
$101,480 median pay
$61,770 median pay
$97,270 median pay
$95,770 median pay
$84,290 median pay
Industry pages show which sectors this occupation feeds and the AI companies driving the shift.
AI job-risk card
Economics Teachers, Postsecondary is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Economics Teachers, Postsecondary is 45/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
45 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Grading student assignments and papers, Drafting syllabi and course handouts, Compiling reading lists and bibliographies, Planning and revising standard course content. Harder to automate: Teaching economic intuition and policy reasoning, Conducting original empirical or theoretical research, Mentoring PhD candidates on dissertations, Engaging with policy institutions and public discourse.
Lean into Econometrics (Stata, R, Python), AI-assisted data analysis, Economic policy writing, Research grant writing. Consider roles such as Federal Reserve Economist or Think-Tank Policy Researcher or Chief Economist.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.