Artificial intelligence plays an increasingly important role in supporting sustainable product design, eco-innovation, and circular manufacturing. Although research in this area is expanding, its development dynamics and thematic orientation have not been systematically examined yet. This study fills this gap by providing a bibliometric overview of how AI-related technologies intersect with sustainability-driven design and manufacturing concepts. A structured search strategy was applied to publications from 2015–2025 using the Biblioshiny tool. The data set was built using keywords related to artificial intelligence, eco-design and sustainable or circular manufacturing. The analysis included annual publication trends, keyword co-occurrence mapping, and thematic clustering. The findings showed that the field is evolving towards a strong integration of digital and sustainability perspectives. AI-driven tools and data-centric methods. These are becoming increasingly important in the development of sustainable or circular manufacturing and product development. As the area is rapidly expanding, future research should analyse publication patterns after 2024 to determine whether the sharp surge indicates a stable long-term shift or a short-term acceleration and also what implications this may have for the field’s further development.