This chapter concentrates on politics of generative artificial intelligence in empowering education in Canada. Generative artificial intelligence (GenAI) technology is profoundly reshaping the global education ecosystem. This chapter takes the federal and provincial education policies of Canada as the object and uses the policy cycle theory and multi-case analysis method to explore the stage characteristics, implementation paths and existing challenges of GenAI empowering education policies. Research findings show that Canada has established a three-stage policy development model of “ethics first - pilot exploration - system integration”, and regions such as Ontario have achieved breakthroughs in personalized learning through AI teaching assistance platforms. However, there exist core contradictions such as algorithmic bias governance, the gap in teachers’ digital literacy, and the paradox of educational equity. It is suggested to establish a collaborative governance framework of “technology - system - humanity”, set up a dynamic risk assessment mechanism, and promote Canada to play a leading role in global AI education governance. This chapter provides a theoretical reference for educational policy innovation in the digital age.