This paper explores the intersection of artificial intelligence (AI) adoption and the green transition in shaping the future of work in Saudi Arabia. Using an IMF-developed occupational framework of AI exposure and complementarity, distributional risks among the native workforce are assessed. Findings reveal that Saudi workers - especially women and youth -are particularly vulnerable to AI-driven substitution. In contrast, green occupations show high AI complementarity, suggesting resilience and productivity potential. Brown (polluting) occupations also exhibit overlapping skill sets with green roles, indicating reskilling pathways for displaced workers. The study advocates for proactive labor market monitoring and targeted policy interventions to promote employment in AI-complementary and green occupations, offering a dual benefit of economic and environmental sustainability.
