Abstract
This paper investigates how generative artificial intelligence (GenAI) use is explicitly promoted in mathematics education research and how these promoted actions are constrained by reported challenges and ethical concerns. Using the Zone of Promoted Action (ZPA) as an analytic lens, we systematically examine empirical studies to identify promoted practices, sources of promotion, and their structural boundaries. Findings indicate that GenAI is most commonly promoted for instructional planning, feedback, and assessment support, while concerns related to reliability, training, curriculum alignment, and ethics delimit the scope of these promoted uses.