In the higher education workforce, women are overrepresented in office and clerical staff positions. They often occupy student-facing roles such as academic advising, which are relationship-focused positions with limited advancement opportunities. Not only are women far more likely to experience job displacement as administrative tasks are automated, but they are also less likely to hold the technical and decision-making roles that influence how AI is designed and deployed. Consequently, women are often positioned downstream of AI systems they did not build and cannot govern. Efficiency alone cannot guide effective AI strategies. Instead, leaders must advance technology and equity simultaneously. University policies should include safeguards to help ensure that employees are not quietly devalued through AI adoption.
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