Education · SOC 25-1052
Lab safety, hands-on experimentation, and original chemical research are strong protections against AI in this faculty role.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI molecular design tools will reshape computational chemistry research within 5 years, but wet-lab supervision and teaching hands-on experimental chemistry remain irreplaceably physical.
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AI job-risk card
Chemistry 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 Chemistry Teachers, Postsecondary is 38/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
38 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: Drafting syllabi, handouts, and homework, Grading student class and lab work, Advising on standard curricula and career paths, Writing routine grant narrative sections. Harder to automate: Teaching and enforcing lab safety protocols, Supervising bench chemistry research, Designing novel experiments and directing synthesis, Selecting and maintaining lab equipment and supplies.
Lean into AI-assisted molecular modeling (AlphaFold, computational chemistry), Laboratory management, Research grant writing, Chemical safety compliance. Consider roles such as Industrial R&D Chemist or Pharmaceutical Research Scientist or Chemical Engineering Consultant.
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.