If Morocco wants to keep up with the world’s leading tech powers, it must act swiftly to establish itself as a player in this revolution. AI presents a tremendous opportunity—but also a serious risk if it remains solely developed and controlled by foreign nations. To secure its future, Morocco must create AI solutions tailored to its specific needs, developed by its own talent, and aligned with its national interests.
AI is a powerful economic driver, with the potential to transform key sectors such as agriculture, healthcare, education, and infrastructure. By 2030, AI is expected to generate trillions of dollars worldwide and significantly boost productivity across industries. For Morocco to capitalize on this, it must invest in research, innovation, and education to develop homegrown AI solutions. Currently, most of the data used to train AI models is stored abroad, and the number of Moroccan experts in the field remains limited. Without control over this technology, the country risks relying on foreign tools and losing autonomy over critical decisions shaping its future.
Beyond economic gains, AI sovereignty is a matter of national security. The growing use of AI in misinformation campaigns, cyberattacks, and electoral manipulation highlights the risks of being technologically dependent on external powers. Advanced cyber threats are emerging, and AI is increasingly being weaponized for malicious purposes. Without a strong digital sovereignty strategy, Morocco could find itself vulnerable, unable to effectively defend itself or anticipate future cybersecurity challenges.
Morocco has already taken steps toward developing AI adapted to its national priorities. The International Center for Artificial Intelligence in Morocco, affiliated with Mohammed VI Polytechnic University (UM6P), aims to position the country as a regional AI hub by integrating strategic, educational, and industrial efforts.
Additionally, the Digital Development Agency (ADD) is actively working to foster an AI ecosystem, encouraging the creation of startups, research labs, and specialized investment funds. Academic institutions are also playing a crucial role, with schools like the National Higher School of Computer Science and Systems Analysis (ENSIAS) offering dedicated AI engineering programs to build local expertise.
However, Morocco still faces significant challenges in competing on the global AI stage. According to the 2024 AI Readiness Index, the country ranks 101st out of 188, showing strengths in data infrastructure but weaknesses in governance and technological development.
To strengthen its position, Morocco must adopt a balanced AI strategy—one that ensures control over critical infrastructure and sensitive data while remaining connected to the global AI ecosystem. The country has made strides in digital transformation, but it still lacks the necessary local data resources to train AI models that are specifically adapted to its needs. A national strategy for data collection, storage, and utilization is crucial to the development of a truly independent and effective AI sector.
Furthermore, Morocco must make major investments in education and research to build a competitive AI ecosystem. This goes beyond training AI engineers—it requires expertise in algorithm ethics, data governance, and cybersecurity. A Moroccan AI industry can only emerge if the country prioritizes education and innovation, strengthening collaborations between universities, businesses, and research centers.
Morocco cannot afford to be a passive observer in the AI revolution. Establishing a national AI fund, developing specialized research centers, and implementing a clear strategy for AI governance and promotion are essential steps toward securing digital independence. This is not just about economic competitiveness—it is a strategic necessity for the country’s future.
AI is already shaping the world. Morocco must decide: will it take control of its technological destiny, or will it remain dependent on foreign innovations? The choice is clear—embrace AI now or face the consequences of inaction.
