Qualitative analysis highlights how institutions are integrating AI competencies, suggesting a shift towards pedagogically grounded practices.
As artificial intelligence (AI) reshapes the contours of higher education, institutions are increasingly shifting from isolated experimentation toward strategic, systemic approaches for building AI competencies. This paper examines emergent practices from a range of institutions—including public research universities, Minority-Serving Institutions (MSIs), and professional networks—that are embedding AI literacies into faculty development, curriculum design, institutional planning, and distance learning environments. Drawing from the authors’ direct involvement in cross-sector collaborations and professional learning initiatives, this paper surfaces how AI skills development is being scaffolded over time, shaped by mission, and aligned with long-term organizational strategy. Using an ethnographically informed qualitative approach, the authors spotlight patterns in implementation, challenges in sustainability and policy, and the cultural conditions necessary for pedagogically grounded, ethically aware, and contextually responsive AI integration. The findings underscore that institutions treating AI not merely as a technical upgrade but as a catalyst for reimagining teaching, leadership, and academic infrastructure are better positioned to build future-ready, human-centered educational ecosystems.
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Gunder et al. (2025) studied this question.
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