The impact of artificial intelligence (AI) and automation technologies on entrepreneurship in developing nations, like other new technologies that previous entrepreneurs popularly used, could be both a good thing and a bad thing. In labor-intensive economies, for example, AI can threaten job security. However, on the note of opportunity, automation based on AI also may create a new set of opportunities for inclusive entrepreneurship. Inclusive entrepreneurship can enable more people to begin and increase the size of their endeavors using tools they previously could not afford. This review paper assesses the changing context around automation based on AI, in low- and middle-income economies by identifying barriers to and opportunities for inclusion. Using new literature and policy reports, it summarizes how automation interacts with relations, supports innovation frameworks (such as inclusive innovation, frugal innovation, and the capability approach), and creates a relationship with the entrepreneurial ecosystem. Three case studies from Africa, Asia, and Latin America demonstrate how digital tools, institutions, and local initiatives can either facilitate or limit inclusive outcomes. It also highlights the key research gaps and challenges such a research agenda presents for studies of social and economic impacts of automation-centered entrepreneurship; there needs to be more long-term and exogenous presentation of the findings to allow for inclusion for academic study regarding automation-centered entrepreneurship for developing economies/desirable knowledge production.