This chapter presents an analysis of artificial intelligence-driven agricultural transformation from the standpoint of a feminist political economy, and argues that Agricultural 4.0 technologies have the potential to increase gender inequalities unless intentionally designed with a feminist and intersectional perspective. Women are approximately 40–60% of the global agricultural workforce; however, women face structural barriers to access land, credit, digital infrastructure, and decision-making power within agrifood systems. The authors also develop an integrative conceptual framework for analysis of Agricultural 4.0 transformation based upon three key principles: historical and structural embeddedness, intersectionality and lived experience, and justice-oriented evaluation. By viewing technology as a socio-technical system rather than a neutral tool, the authors challenge techno-optimistic views of technology and reveal how algorithms and data infrastructures embed hierarchies into the use of technology. The authors argue that equitable digital transformation will require the incorporation of feminist epistemologies throughout the development and governance of AI to value women’s knowledge and prevent labor displacement and create transformative change in agrifood systems rather than simply inclusive change.