This chapter examines how the intersection of artificial intelligence (AI) and communication research contributes to the Sustainable Development Goals (SDGs). Drawing on a scientometrics analysis of 1033 publications indexed on the Web of Science between 2016 and 2024, the study employs both InCites and OSDG classification systems to map SDG relevance and applies Latent Dirichlet Allocation (LDA) to uncover latent research topics. The results highlight that, although both fields are increasingly recognised as key enablers of sustainable development, their integration remains limited. Moreover, the findings reveal significant discrepancies between classification tools: while InCites emphasises health-related goals, OSDG captures broader social and institutional dimensions. Topic modelling highlights five thematic clusters reflecting AI’s influence on digital communication, learning systems, and user-centred design. The SDG-specific topic analysis uncovers distinct research focuses within individual goals (i.e., for example, health-related goals concentrate on AI applications in medical imaging and digital health, while energy-related goals emphasise renewable technologies and regulatory frameworks). Artificial intelligence tends to dominate the research agenda as a source of technical innovation, while communication is often relegated to a secondary, instrumental role. This research underscores the need for more integrative, transparent, and multidimensional frameworks to assess the role of AI and communication in the 2030 Agenda.