AI Transformation Threatens Over 1.3 Million Jobs in Morocco by 2030
According to a recent report from the African Center for Strategic Studies and Digitalization, Morocco's labor market is poised to undergo a significant transformation driven by the advancements in artificial intelligence (AI). This transformation is not merely about job loss; it represents a comprehensive restructuring of work roles, required skills, and the underlying value chains within the economy. The report highlights the alarming statistic that nearly 1.5 million jobs are expected to come under direct threat from automation and AI technologies by the year 2030. In addition to this, approximately 3.1 million existing roles will experience considerable modifications in their tasks and responsibilities, culminating in a staggering total of 4.6 million jobs being potentially affected. However, the forecast for new digital employment opportunities appears bleak, with only about 180,000 new positions expected to be created, leading to an estimated net loss of 1.32 million jobs in the Moroccan labor market.
The report stresses that the primary challenge is not solely the destruction of jobs but the rapid pace of transformation that is outpacing the labor market's ability to adapt effectively. As the disruption progresses, projections indicate that the number of jobs at high risk could escalate to nearly 2.9 million by 2035, with an overall impact on around 8 million positions. Even with the anticipated creation of 450,000 new roles, the imbalance between job loss and new opportunities will likely persist, resulting in a projected net job loss of approximately 2.45 million.
Sector-Specific Impacts and Social Implications
The consequences of AI integration are not uniform across different sectors. Industries such as offshoring and business process outsourcing (BPO) are among the most vulnerable, with exposure rates nearing 30%. This is closely followed by the banking and insurance sectors at 22%, the automotive industry at 15%, and the textile sector at 14%. Administrative roles, routine analytical tasks, and support functions are particularly at risk of automation, leading to a shift in these jobs towards more supervisory and coordination roles that demand greater oversight and decision-making capabilities.
Education does not necessarily shield workers from these risks; the report notes that while 12% of those without diplomas are exposed to automation threats, this figure rises to 17% for graduates, and could potentially reach 30% in advanced scenarios, underscoring AI's escalating ability to handle cognitive tasks. The social implications of this transformation are particularly significant. Women, who represent 20.6% of the overall workforce, are disproportionately employed in sectors that are highly susceptible to automation, with an estimated 350,000 to 400,000 female jobs under threat. Additionally, young individuals are facing heightened challenges, as the youth unemployment rate stands at 37.2%, and the diminishing availability of entry-level positions threatens to restrict their access to the job market. Currently, over 4.3 million young Moroccans are classified as not in employment, education, or training (NEET), highlighting the urgency of the situation.
The report also identifies a critical gap between the skills possessed by the workforce and the demands of the labor market. Annually, Morocco produces only around 22,000 digital graduates, far below the required numbers. By 2030, it is estimated that between 250,000 and 480,000 individuals will need to be trained or retrained each year to keep pace with the AI-driven changes. This issue is exacerbated by the size of the informal sector, which employs approximately 67.6% of the workforce and often lacks access to training and reskilling opportunities, further increasing the risk of exclusion from emerging higher-value jobs.
In light of these challenges, the African Center for Strategic Studies and Digitalization advocates for a robust national strategy that integrates education, employment, and industrial transformation. Key recommendations include the establishment of a national skills framework focused on short and targeted training programs that align with real-world AI applications, as well as the promotion of hybrid skill sets that merge technical and soft skills. Policymakers are urged to reconsider the structure of entry-level jobs by enriching them with higher-value tasks such as quality control, data analysis, and complex problem-solving to ensure they remain viable pathways into the labor market.
Moreover, upgrading vulnerable sectors, particularly in BPO, is a priority, as transitioning towards data analytics and higher-value services could prevent stagnation in low-productivity activities. The report emphasizes the necessity of strengthening social protection systems, advocating for more adaptable and portable mechanisms to support workers during career transitions while ensuring access to continuous training. Lastly, it underscores the importance of building national capabilities in artificial intelligence—not only in its application but also in its design and adaptation—through a structured “AI Made in Morocco” approach that aims to foster technological sovereignty and long-term competitiveness.
As reported by moroccoworldnews.com.
