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The Economic, Social, and Environmental Council (CESE) has published a report on the state of artificial intelligence (AI) in Morocco, highlighting the opportunities this technology offers to transform the country, as well as the obstacles hindering its development.
According to CESE, artificial intelligence could increase the global GDP by 14% by 2030 and play a key role in achieving 79% of the Sustainable Development Goals (SDGs). For the Kingdom, this technology represents a unique opportunity to modernize vital sectors such as agriculture, health, education, and industry.
In Morocco, initiatives are already emerging. The «AI Movement» center at Mohammed VI Polytechnic University (UM6P) and the «Al Khawarizmi» call for projects testify to a growing interest in integrating AI into public policies and the entrepreneurial ecosystem.
Furthermore, Morocco has committed internationally by supporting ethical frameworks such as UNESCO's recommendation on the responsible use of AI and a UN resolution aimed at ensuring «safe and trustworthy» systems.
Despite these advances, CESE report presents a worrying finding: the Moroccan AI ecosystem remains immature. It outlines its challenges in three points with recommendations to overcome them.
1. The absence of a dedicated regulatory framework
While Morocco has laws governing certain aspects of digital technology, such as cybersecurity or consumer protection, it lacks specific legislation for AI. This gap hinders innovation and discourages investors.
Moreover, although Law 31-13 guarantees access to public information, the available data remains limited. Yet, this data is essential for developing AI solutions tailored to national needs.
In addition to a reform of Law 31-13, the report calls for increased release of public data to provide researchers and entrepreneurs with the necessary resources to develop innovative solutions.
2. Difficulties in accessing funding
AI-specialized startups, although identified as drivers of innovation, struggle to grow. Access to funding is restricted, with grant and investment fund eligibility criteria often unsuited to the specific needs of these companies.
CESE suggests the creation of a public-private fund dedicated to AI innovation, including grants, seed funding, and venture capital. Tax incentives should also be provided for companies developing AI solutions or collaborating with research institutes.
3. A skills deficit
Training in the field of AI remains insufficient, both at the academic level and within companies. The shortage of specialized trainers and the absence of dedicated educational programs hinder the creation of a qualified workforce, essential for building a competitive ecosystem.
The report recommends adopting a systematic approach, from secondary education to higher cycles, while implementing continuous training programs for professionals.
