The Somali Policy Institute (SPI) is pleased to announce the publication of its latest research paper, “Artificial Intelligence and the Future Workforce in the Horn of Africa.”

Artificial intelligence is rapidly transforming how work is organized, how decisions are made, and which skills employers increasingly require. For the Horn of Africa, this transformation presents both significant opportunities and serious policy challenges.

The study examines the implications of Natural Language Processing (NLP), Machine Learning (ML), and Computer Vision (CV) for workforce efficiency, productivity, decision-making, skills development, and organizational adaptation.

Drawing on empirical research and stakeholder perspectives, the study finds that AI technologies are perceived to improve workplace efficiency and decision-making. However, a persistent gap remains between technological adoption and workforce preparedness. Across NLP, ML, and Computer Vision, respondents identified employee training and reskilling as important areas requiring greater attention.
The research therefore highlights a central policy question for the region:

How can the Horn of Africa harness AI to increase productivity and create new opportunities without deepening skills inequality and labour-market exclusion?

The paper calls for targeted workforce training, continuous reskilling, stronger digital infrastructure, responsible organizational adoption, and policy frameworks that ensure technological transformation remains inclusive and human-centred.

For countries with young and rapidly growing labour forces, the future of AI will not be determined by technology alone. It will also depend on whether institutions, education systems, employers, and policymakers are prepared to invest in the people who will work alongside these technologies.