Contextual Barriers to AI Governance Adaptation in Zambian Private Higher Education

Strategic leaders who recognise artificial intelligence's importance do not necessarily have the freedom to act on that recognition. This paper investigates the contextual conditions that constrain strategic leadership adaptation to AI-driven transformation across Zambia's twelve Tier 1 private higher education institutions, using a sequential exploratory mixed-methods design combining a structured questionnaire completed by one hundred governance-role staff with semi-structured interviews conducted with twelve strategic leaders purposively drawn from five institutions. The paper finds that constraint operates from two directions: structural conditions bearing down from above, in the form of financial resource scarcity, infrastructure and connectivity limitations, and regulatory ambiguity, and capability deficits operating from within, in the form of uneven staff digital competence and institutional cultures oriented toward compliance rather than proactive governance. Financial and infrastructural constraint are the most acutely felt of these conditions, but regulatory ambiguity produces a counterintuitive dynamic: rather than creating latitude for institutions to act as they see fit, the absence of a sector-specific mandate produces governance paralysis in institutional cultures built around compliance with external accreditation and regulatory bodies. Financial and infrastructural constraints are compounded by a familiar sustainability failure: externally funded capacity-building erodes once donor support ends, leaving institutions no more resilient than before. Read together, these conditions are interpreted, on the qualitative evidence rather than a tested statistical interaction, as a pincer constraint that would plausibly limit institutional response even among leaders with considerably stronger individual AI literacy than the sector currently possesses; composite-level testing did not find contextual constraint significantly associated with strategic leadership adaptation. The paper's originality lies in documenting, for the first time empirically, how these structural and capability constraints interact and compound within Africa's private higher education sector, with implications for institutional strategy, sector regulation, and national infrastructure and funding policy.

AI governance; contextual barriers; higher education; resource constraints; regulatory ambiguity

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