Abstract
The paper examines artificial intelligence (AI) in the context of labour law and broader legal frameworks, highlighting its ambivalent role as both a potential source of inequality and as a catalyst for improved job quality. The aim is to identify the main risks and benefits associated with AI deployment in societal processes, the former including algorithmic discrimination, social selection and privacy concerns, monopolisation of technologies, and labour market disruption; the latter enhancing job quality by optimising tasks, supporting occupational health and safety and overall workers’ wellbeing. Methodologically, the analysis draws on a comparative review of selected case studies and court decisions in Europe and the United States, complemented by an examination of current regulatory framework, strategic documents and reports of international organisations. The findings indicate that, although AI entails significant risks of reproducing historical biases and deepening inequalities, it can also serve as an instrument to promote personalised education, enable inclusivity and improving work-life balance. Crucially, the realisation of these benefits depends on the presence of a strong and comprehensive regulatory framework that guides AI deployment towards fair, safe, and high quality work, ensuring that technological innovation serves the collective good rather than reinforcing existing disparities.