Helene Kordahji

As artificial intelligence increasingly shapes global economic competitiveness, higher education institutions must move beyond their traditional role as passive repositories of knowledge. Universities are now expected to act as active drivers of innovation, economic diversification, and national development. Within this context, Campus 5.0 expands the university's role further by positioning it as a catalyst for entrepreneurial ecosystems and start-up formation. Through innovation and entrepreneurship centers, universities can offer incubation support, mentorship, and structured linkages with industry and investors, enabling the transformation of research outputs into viable enterprises. By fostering collaboration among faculty members, students, researchers, and strategic industry partners, these centers enhance the university's contribution to innovation and knowledge-based economic growth. In response to these shifting expectations, this research introduces Campus 5.0 as a transformative framework that redefines the modern university as an intelligent and adaptive actor within the knowledge economy. Unlike earlier models that mainly emphasized digital transformation, Campus 5.0 embeds artificial intelligence at the heart of institutional governance, research management, and industry engagement, allowing universities to function as strategic drivers of economic transformation. The framework is grounded in a human-centered, data-driven architecture that integrates AI into decision-making and research workflows. Through predictive governance and advanced analytics, universities can forecast emerging research trends, allocate resources more efficiently, and align academic priorities with evolving economic demands. It also enables personalized research pathways, where AI systems assist researchers in identifying collaborations, funding opportunities, and high-impact research directions, thereby accelerating innovation and improving institutional performance. At its core, Campus 5.0 is structured around five strategic pathways: enhancing operational efficiency through AI-enabled administration, accelerating research through intelligent analytics and automation, optimizing talent development by aligning academic programs with future labor market needs, strengthening innovation matching between universities and industry partners, and advancing policy intelligence through data-driven insights for governments. Collectively, these pathways reposition universities as proactive enablers of innovation ecosystems rather than isolated academic entities. However, this transformation represents not only a technological shift but also a deep governance and cultural change. Successful adoption requires visionary leadership, robust ethical AI frameworks, and strong cybersecurity safeguards to ensure responsible and secure use of data-driven systems. Drawing on comparative contexts such as Kuwait and Jordan, this research proposes a strategic blueprint for enabling universities to evolve into intelligent economic actors that support AI-driven national development and long-term economic resilience.