Brandeis is already treating AI fluency and real projects as part of career preparation. The university’s Global Career Accelerator gives students project-based experience in fields that include data analytics and AI, and its Project Onramp program pairs students with paid internships and industry mentors.
The next step is to make human judgment as visible as technical fluency.
Stanford’s August employment update found that U.S. workers ages 22-25 in highly AI-exposed occupations are about 19% below the employment level expected if they had kept pace with similarly aged workers in less-exposed occupations. The adjustment appears mainly through reduced hiring. Employers can automate the very assignments that once taught young workers how organizations actually make decisions.
Brandeis should respond by adding a judgment record to project-based career learning. For every AI-enabled internship, course project, or microcredential, students should document three things: what output they verified, what exception or ambiguity they resolved, and what recommendation they made after reviewing the evidence. Supervisors should assess the quality of those decisions, not just the speed of the final deliverable.
That would give employers a richer signal than a list of tools. It would also reward students for learning the skills that become more important as AI handles routine preparation: spotting mistakes, testing assumptions, communicating uncertainty, understanding context, and knowing when to escalate.
Brandeis has long emphasized education that connects intellectual work to human responsibility. AI gives the university a chance to make that responsibility measurable. A second transcript of judgment would show employers that graduates can do more than operate AI. They can supervise it, challenge it, and make sound decisions with it.
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Gleb Tsipursky, PhD, a behavioral scientist, CEO of Disaster Avoidance Experts, and author of The Psychology of AI Adoption at Work: From Resistance to Results (Georgetown University Press, 2026). https://disasteravoidanceexperts.com/aibook
