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Morocco is investing heavily in AI. How does this report lay the groundwork for a necessary diagnosis?
This report builds on work conducted in several countries and by international organizations, including The Future of Jobs 2025 by the World Economic Forum (WEF) and a report by the French export credit agency COFACE on the impact of AI on the labor market in France. It also draws on various U.S. studies, notably from Stanford University, examining how AI is reshaping the world of work.
While there is abundant international data, projections and localized insights remain scarce in the Arab region and across Africa, including Morocco. This report aims to fill that gap by focusing on the Arab-African context, particularly at the national level. Rather than revisiting government initiatives such as Morocco Digital 2030, it examines how digital technologies and AI are transforming traditional professions in the country.
What are the main transformations expected in the Moroccan labor market?
Some tasks will disappear while others will emerge, reshaping all sectors, from media and automotive to industries where Morocco has positioned itself through industrial development plans. Data from the High Commission for Planning (HCP) provides insight into the distribution of the workforce by sector and function, making it possible to project how these transformations will affect the structure of the labor market.
The goal is not to measure job creation or losses, which depend on factors such as social dialogue, labor relations, and the role of the public sector, but rather to assess how AI and digitalization are changing the nature of tasks within professions.
You recommend focusing not on reconversion, but on training. How can this be achieved?
The work must begin upstream. It is no longer viable to train for professions where significant job losses are expected. For example, job creation in programming and development may decline as AI increasingly takes over these functions. This calls for a fundamental rethink of higher education and vocational training.
At the same time, professionals already in the workforce must be supported through continuous training, guidance on AI use, and adaptation to evolving job content. Workers will need to upskill or reskill, moving toward roles that involve supervision, decision-making, or transitioning into new professions.
Journalism offers a clear example: while AI can handle basic writing tasks, the human dimension, intuition, creativity, and critical thinking, remains essential.
How can AI be used as a lever to improve performance, both quantitatively and qualitatively?
This is a broader challenge that goes beyond Morocco, as the study also covers Egypt, Tunisia, Côte d’Ivoire, and Saudi Arabia. Entry-level jobs are expected to be the most affected, raising concerns for young people entering the labor market, as AI increasingly takes over tasks based on knowledge acquired in school.
The focus will shift toward developing advanced expertise and diversifying project-based work. Strengthening skills will be key to delivering higher-level know-how in less time, while AI handles lower value-added tasks.
This also implies a shift in mindset: the workforce will need to focus more on defining problems («the what») rather than executing solutions («the how»), leaving execution increasingly to AI.
Is the world of work ready for this shift toward creativity and social intelligence?
This remains a major challenge. Many managers were trained under traditional models, while younger generations have already developed more creative approaches shaped by digital environments. This gap can lead to misunderstandings in the workplace, with some employees feeling undervalued.
For years, professional environments have prioritized rational task execution, often at the expense of other cognitive abilities. Today, organizations must evolve by fostering managers who are open to new skill sets and capable of integrating human-AI collaboration, maximizing human responsibility while delegating execution to AI.
Will the rapid evolution of AI create additional challenges?
Absolutely. Studies have shown that the lifespan of technical skills has dropped sharply, from around 30 years a few decades ago to less than two years today. With AI advancing rapidly, some forecasts suggest that artificial general intelligence could reach human-level analytical capabilities by 2028–2030.
This acceleration will require constant adaptation. Future income may increasingly depend on an individual’s ability to complement AI, making lifelong learning essential. Skills will need to be updated regularly, potentially every year, to keep pace with technological change.
