Artificial Intelligence, Strategic Foresight, and Competitive Intelligence: Towards Convergence for Morocco’s Augmented Competitiveness

Abstract

This paper explores how Artificial Intelligence, Strategic Foresight and Competitive Intelligence convergence can significantly contribute to enhancing Morocco’s national competitiveness, transformational growth, and consequently, placing the new development model within a new AI-driven paradigm by converging different intelligences to serve competitiveness, performance, sovereignty, resilience, and Morocco's strategic and digital transformation.To this end, we adopted a mixed approach, combining a literature review, semi-structured interviews with experts and professionals in these fields, a benchmark of best practices for converging this triptych of AI, strategic foresight and competitive intelligence, and conceptual and systemic modelling that operationalizes this convergence across the entire Moroccan foresight and intelligence ecosystem. Thus, we proposed the LOUMAR Framework as part of a holistic, inclusive and convergent-oriented approach designed to harness the largely untapped synergistic potential between artificial intelligence, strategic foresight and competitive intelligence. This strategic and integrative model is based on six key levers, primarily focusing on Leadership and strategic vision, Organizing the National augmented foresight and intelligence ecosystem, Utilizing AI-enhanced competitive intelligence, Modelling AI-driven strategic foresight, Advancing AI-powered and intelligence-driven transformation, Resilience, realignment and continuous evaluation. Furthermore, we have outlined Morocco's main achievements and strengths with regards to this tripartite convergence, the constraints and points for improvement, the opportunities to be seized and the perspectives and development paths to follow, through the implementation of a strategic and digital transformation model that drives transformational growth and boosts Morocco’s augmented competitiveness.