This practice guide from AI for Education and Student Achievement Partners explores practical strategies for using generative AI (GenAI) to support students’ deeper math learning. The guide grounds the strategies in a framework that promotes productive struggle, defined as challenges that allow for deeper learning with high-quality math content. In a math classroom, productive struggle may include providing multiple pathways of understanding, grounding mathematical problems in real-world contexts, and structuring opportunities for connection and collaboration. The guide recommends using specialized AI tools that are equipped to support math-related tasks with greater precision and functionality. Suggested strategies include using GenAI to provide step-by-step explanations of solutions and to assist teachers in developing lessons, materials, and targeted interventions. This guide may be helpful to education leaders, instructional coaches, and teachers who are looking for new ways to integrate GenAI tools and strategies in deeper math learning.