Nathir M. Obeidat

Developed nations operate within well-established industrial models that are closely aligned with long-term national development strategies, including defense, security, and economic priorities. These models have traditionally acted as guiding frameworks that steer research agendas within universities and industrial institutions toward clearly defined and productive outcomes. As a result, strong alignment between industrial needs and academic research has contributed significantly to sustained innovation and the economic success of industrialized countries. In contrast, many developing regions, including Arab nations, often lack similarly integrated industrial models. This absence has contributed to fragmented research directions, where much of the academic output is driven by individual faculty efforts linked primarily to promotion requirements, rather than coordinated national priorities. Consequently, research activities are frequently disconnected from real industrial needs, leading to limited impact on economic development and a tendency toward sporadic, uncoordinated scholarly output. In this context, artificial intelligence presents a significant opportunity for developing countries to better align research systems with national development objectives in the era of the Fourth Industrial Revolution. AI can help identify institutional strengths and gaps, map them against strategic economic priorities, and guide more coherent research directions aligned with national agendas. It can also support the matching of research expertise with development needs, enabling more structured and impactful innovation ecosystems. Ultimately, this approach can contribute to the gradual emergence of viable industrial models that are better suited to the economic realities and aspirations of these nations.