Undergraduate choices are shifting: new programs in artificial intelligence and decision‑making are climbing enrollment lists, with some universities reporting AI‑focused majors rivaling or surpassing traditional computer‑science pipelines. MIT’s “artificial intelligence and decision‑making” program is cited as an example of rapid student interest and program growth. Colleges are simultaneously wrestling with assessment: educators and vendors report that large language models and AI tools can complete standard problems and exams, forcing shifts to project‑based work, in‑person demonstrations and new honor‑and‑disclosure policies to verify student mastery. Sponsored guidance and district tool evaluations recommend ethical‑use frameworks and revised assessment designs. Career offices say the student pivot reflects employer demand for AI fluency, but warn that rapid curricular rollout risks uneven learning outcomes if institutions don’t invest in faculty development, assessment redesign and robust AI pedagogy. Admissions and advising teams are updating pathways to help students translate AI coursework into marketable skills. Policymakers and accreditors will be watching how majors, credentialing and assessments evolve as institutions attempt to certify genuine competence in an era of powerful automation.