This chapter explores the integration of AI and data-driven technologies into environmental governance through the lens of responsiveness. While AI is often presented as a transformative solution to climate change and biodiversity loss, this chapter challenges techno-solutionist narratives by foregrounding the infrastructural, institutional, and political conditions that shape how these technologies are developed and deployed. It argues that AI systems should be understood as public digital infrastructures—large-scale socio-technical systems embedded in public institutions and shaped by norms of public value, accountability, and sustainability. To assess their potential, the chapter introduces a framework of responsiveness comprising two interdependent dimensions: empathetic perception, or institutional openness to critique and diverse social visions; and resolute engagement, or the capacity to mobilize public resources for systemic change. Grounded in a case study of Poland’s forestry sector, the chapter examines how data infrastructures and AI tools reproduce or challenge centralized governance logics. Drawing on 37 interviews with stakeholders across public institutions, NGOs, and the technology sector, it shows how responsiveness helps illuminate both the democratic deficits and transformative possibilities embedded in AI-driven environmental governance. The chapter concludes by calling for a material, institutional perspective that connects technological development with inclusive, long-term ecological futures.