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Educators face a critical crossroads: engage generative AI proactively or await localized implementations. Meanwhile, various stakeholders are lobbying the future of how AI is adopted in K-12 schools. This exploratory case study examines AI education in a Midwestern state using policy network analysis to identify key stakeholders, their relationships, and industry influence on K–12 integration. Drawing on interviews, policy documents, and organizational artifacts, the study reveals tensions between ethical AI use, philanthropic agendas, and equitable access. Findings illuminate how power dynamics shape GenAI adoption in schools, highlighting beneficiaries and those marginalized by current educational policy networks.