This chapter develops the third scenario, the Platform Marketplace model. This is situated at the intersection of market-led coordination and AI-first integration. In this future, digital platforms unbundle higher education into specialized functions including skill acquisition, credential signaling, socialization, and career placement. These are disaggregated across providers and recombined through algorithmic coordination. Universities shift from orchestrators of integrated educational experiences to content or service partners competing within platform-governed ecosystems. This chapter grounds the scenario in transaction cost economics, information asymmetry theory, network effects, and platform ecosystem theory, explaining how reduced coordination costs make market-based disaggregation economically viable. Two mechanisms dominate: systemic substitution through unbundling, as platforms progressively absorb functions historically bundled within institutions; and automation enabling scale, as near-zero marginal delivery costs drive platform consolidation toward winner-take-most dynamics. The 2035 operating model features global learning marketplaces controlled by a small number of technology firms, modular micro-credentials replacing integrated degrees, faculty labor restructured into star creators and gig workers, and governance exercised through algorithmic management. This chapter identifies deep stratification, data extraction, and labor market segmentation as principal equity risks, then concludes with signposts for monitoring movement toward this scenario.
Strategies for Higher Education Institutions: Resilience and Adaptability provides higher education leaders with a structured methodology for strategic decision-making under deep uncertainty. The book constructs four plausible scenarios for higher education to 2035, organized around two critical uncertainties: coordination logic (state-led versus market-led) and human-AI centricity (human-centric versus AI-first). It introduces a five-mechanism typology that explains how AI and emerging technologies reshape institutional value propositions, operating models, and capability sets, moving analysis from individual tools to structural forces. The book then translates scenarios into strategic action through the 7C Strategy Wheel and 7C Strategy Selection Framework, connecting environmental diagnosis to strategic posture selection, initiative classification, and signpost monitoring. The primary readers are senior institutional leaders, including vice-chancellors, presidents, rectors, deans, governing board members, and strategy executives. Policymakers, ecosystem players, and researchers in strategic management and higher education will also find applicable frameworks. The book functions as both an analysis and toolkit. Readers gain methods for stress-testing existing strategies against multiple futures, identifying robust actions that hold value across scenarios, building contingent strategies tied to specific conditions, and establishing signpost-based monitoring systems for strategic recalibration. The scenarios apply globally and are designed for application to specific national, regional, and institutional contexts.
This chapter examines the AI and emerging technologies reshaping teaching-focused higher education and develops the mechanism framework that gives those technologies strategic meaning. This chapter opens by tracing an AI capability spectrum, moving from established machine learning applications to generative AI to experimental agentic architectures. It then surveys complementary technology clusters, including immersive reality, blockchain, IoT, learning analytics, and educational robotics. A maturity assessment classifies these technologies into three readiness bands with corresponding strategic postures. This chapter then develops five mechanisms, defined as causal pathways through which technologies produce institutional effects: automation, augmentation, systemic substitution, architectural reconfiguration, and value innovation. Each mechanism is examined through its definition, higher-education applications, implications for the three domains of the institutional core (value proposition, operating model, and capability set), theoretical grounding, and constraints. This chapter maps specific technologies to their primary and secondary mechanisms and proposes a four-phase transformation trajectory that illustrates how institutional mechanism portfolios may shift over time. Framework limitations and boundary conditions are acknowledged.