2. AI in the Sustainability of Social Economy

This chapter delves into the transformative potential of artificial intelligence (AI) in the social economy, focusing on how it can address financial, regulatory, and operational challenges. The text begins with an overview of the social economy framework, highlighting its principles and the unique challenges faced by organizations within this sector. It then explores the methodology used to analyze the intersection of AI and the social economy, emphasizing a comprehensive literature review that aggregates knowledge from diverse sources. The chapter identifies key areas where AI can make a significant impact, such as financial inclusion, regulatory compliance, and operational efficiency. It provides practical recommendations for implementing AI solutions, including identifying specific challenges, evaluating data quality, and building cross-functional teams. The text also discusses potential obstacles to AI implementation, such as insufficient data, outdated infrastructure, and resistance to change, offering strategies to mitigate these issues. Additionally, it showcases successful AI applications in areas like healthcare, environmental sustainability, and economic empowerment, demonstrating the broader impact of AI in driving social innovation. The chapter concludes by emphasizing the importance of political support and regulatory frameworks in fostering the growth and sustainability of social economy organizations.