TY - CHAP
T1 - AI and Job Creation for Africa
T2 - A Dive into AI Freelancing on Fiverr.com’s Ecosystem
AU - Boateng, Richard
AU - Junior, Frederick Edem Broni
AU - Penu, Obed Kwame Adzaku
AU - Boateng, Sheena Lovia
AU - Budu, Joseph
AU - Marfo, John Serbe
AU - Anning-Dorson, Thomas
N1 - Publisher Copyright:
© 2025 selection and editorial matter, Richard Boateng, Sheena Lovia Boateng, Thomas Anning-Dorson, Emmanuel Awuni Kolog, Joseph Budu, John Serbe Marfo and Obed Kwame Adzaku Penu individual chapters, the contributors.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - This chapter analyses the impact of the AI freelance market on job creation in Africa, with a focus on platforms such as Fiverr. The study aims to identify key AI job categories, examine the opportunities and challenges faced by African freelancers, and assess the broader economic implications of AI-driven remote work. Employing a mixed-methods approach, the study combines quantitative data analysis from Fiverr.com with qualitative insights from interviews and surveys of African AI freelancers. The analysis focuses on identifying prevalent AI job categories, understanding skill requirements, and exploring the socio-economic factors influencing freelance careers in AI. Notably, the study collected data from 2,948 AI-related gigs in Africa, representing 9.47% of the global total, with Nigeria leading with 1,157 gigs (3.72% of the total). The findings reveal that AI Development (37.7%), AI Art (33.2%), Data Science and Machine Learning, AI Consulting, and AI Video Art are the primary job categories for African freelancers on Fiverr. African freelancers demonstrate a strong commitment to continuous learning and professional growth, aligning their skills with global trends. The study also highlights gender disparities in the AI freelance market, with male freelancers dominating the field (81%), and challenges related to data management and system integration. Additionally, these findings underscore the potential for improved remuneration and economic upliftment through AI-driven remote work, as evidenced by the earnings of $74,945 from 501 completed orders among a subset of freelancers. While the study's reliance on data from Fiverr may not fully capture the entire spectrum of AI freelance work in Africa, it provides valuable insights into the current landscape. Future research should expand to include other platforms and explore the long-term sustainability of AI freelance careers. The findings have important implications for education and policy, suggesting the need for targeted training programs and supportive policies to foster the growth of the AI freelance sector in Africa. This chapter provides a comprehensive analysis of the AI freelance market in Africa, offering practical recommendations for policymakers, businesses, and educators to collaboratively address the unemployment challenges faced by young Africans.
AB - This chapter analyses the impact of the AI freelance market on job creation in Africa, with a focus on platforms such as Fiverr. The study aims to identify key AI job categories, examine the opportunities and challenges faced by African freelancers, and assess the broader economic implications of AI-driven remote work. Employing a mixed-methods approach, the study combines quantitative data analysis from Fiverr.com with qualitative insights from interviews and surveys of African AI freelancers. The analysis focuses on identifying prevalent AI job categories, understanding skill requirements, and exploring the socio-economic factors influencing freelance careers in AI. Notably, the study collected data from 2,948 AI-related gigs in Africa, representing 9.47% of the global total, with Nigeria leading with 1,157 gigs (3.72% of the total). The findings reveal that AI Development (37.7%), AI Art (33.2%), Data Science and Machine Learning, AI Consulting, and AI Video Art are the primary job categories for African freelancers on Fiverr. African freelancers demonstrate a strong commitment to continuous learning and professional growth, aligning their skills with global trends. The study also highlights gender disparities in the AI freelance market, with male freelancers dominating the field (81%), and challenges related to data management and system integration. Additionally, these findings underscore the potential for improved remuneration and economic upliftment through AI-driven remote work, as evidenced by the earnings of $74,945 from 501 completed orders among a subset of freelancers. While the study's reliance on data from Fiverr may not fully capture the entire spectrum of AI freelance work in Africa, it provides valuable insights into the current landscape. Future research should expand to include other platforms and explore the long-term sustainability of AI freelance careers. The findings have important implications for education and policy, suggesting the need for targeted training programs and supportive policies to foster the growth of the AI freelance sector in Africa. This chapter provides a comprehensive analysis of the AI freelance market in Africa, offering practical recommendations for policymakers, businesses, and educators to collaboratively address the unemployment challenges faced by young Africans.
UR - https://www.scopus.com/pages/publications/105005031155
U2 - 10.4324/9781003507314-1
DO - 10.4324/9781003507314-1
M3 - Chapter
AN - SCOPUS:105005031155
SN - 9781032830155
SP - 1
EP - 62
BT - Leveraging AI for Freelancing
PB - Taylor and Francis
ER -
