The corporatized university is Berg and Seeber's technical term for the structural transformation of higher education over the past four decades — the progressive replacement of collegial self-governance with managerial hierarchy, of scholarly judgment with quantified metrics, of tenured faculty with contingent labor, and of liberal education with workforce preparation. The concept is diagnostic rather than merely descriptive: it identifies the specific institutional logic that makes certain forms of scholarship increasingly difficult to sustain, and that provides the template for understanding how similar logics operate in other knowledge-intensive domains. The AI transition, in their framework, is not a break from this trajectory but its intensification — the same productivity logic that hollowed the university now applied at machine speed to every knowledge worker.
The corporatized university emerged from a specific historical process: the reduction of public funding for higher education, the rise of tuition-dependent revenue models, the application of New Public Management ideology to academic institutions, and the consequent importation of corporate management practices into a domain whose internal logic had always been different. Berg and Seeber trace this process through specific mechanisms: the expansion of administrative hierarchies, the proliferation of performance metrics, the conversion of permanent faculty positions into contingent labor, and the reframing of students as customers and research as deliverables.
The concept has analytical power because it names a configuration rather than a collection of policies. Individual reforms — performance-based funding, strategic plans, output metrics — can be debated on their own terms. The corporatized university names what happens when these reforms compound, when the aggregate effect is the replacement of one institutional logic with another. Scholarship becomes impossible not because any single reform forbids it but because the cumulative environment cannot sustain it.
In the AI age, the corporatization analysis extends naturally. The same productivity logic that measures scholars by publication count now measures knowledge workers by AI-augmented output. The same managerial authority that strips faculty of professional judgment now strips engineers, designers, and writers of theirs. The auto-exploitation Han diagnoses operates through identical mechanisms: internalized metrics, self-surveillance, the conversion of intrinsic motivation into extracted productivity.
The concept's most important feature for AI analysis is its insistence on institutional rather than merely individual diagnosis. The suffering documented in the AI transition — the compulsive engagement, the impossibility of stopping, the erosion of meaning — is not a collection of personal failures. It is the predictable result of institutional arrangements that reward certain behaviors and punish others, that make some forms of engagement economically viable and others not.
Berg and Seeber developed the corporatization concept from their own experience at Queen's University, but situated it within a broader literature — Bill Readings's The University in Ruins (1996), Frank Donoghue's The Last Professors (2008), Henry Giroux's sustained work on neoliberal education. Their contribution was less to originate the diagnosis than to translate it into operational prescriptions for academic life.
Institutional Logic. The corporatized university is a configuration, not a collection of policies — a set of mutually reinforcing arrangements whose aggregate effect is the displacement of scholarly logic by managerial logic.
Audit Culture. The systematic replacement of professional judgment with quantified metrics — a mechanism that both reflects and produces distrust of the professionals being measured.
Contingent Labor. The conversion of permanent faculty positions into short-term, precarious appointments — the specific mechanism through which the university extracts intellectual labor while evading the reciprocal obligations of scholarly community.
Productivity Without Meaning. The institutional condition in which measured output rises while its relationship to any recognizable scholarly purpose becomes progressively unclear.
Template for AI. The corporatized university provides the empirical model for understanding what happens when the same logic is applied to knowledge work generally — a test case run in advance of the AI transition.
The concept has been challenged from the left by those who argue it romanticizes a pre-corporate university that was itself exclusionary, hierarchical, and often oppressive. The response, which Berg and Seeber accept, is that the task is not to restore the past but to build forward — to preserve what was valuable about scholarly autonomy while extending its conditions to populations the old university excluded.