The potential of artificial intelligence (AI) in knowledge creation and innovation is constantly being explored and recognized. The multi-level process, main driving forces, and solidification mechanisms of transforming artificial knowledge into co-innovation ecosystem knowledge were studied, in order to seize the knowledge creation opportunities brought by AI to promote co-innovation. The findings show that artificial knowledge is gradually transformed into the operational knowledge of functional departments within innovation entities, the strategic knowledge of innovation entities, and the systemic knowledge of the innovation ecosystem through reaction cycles, catalytic cycles, and hypercycles respectively. The successful transformation of artificial knowledge relies on multiple driving factors consisting of human-machine collaboration, functional department collaboration, and innovation subject collaboration. The effective solidification of the process of artificial knowledge transformation relies on a creative learning mechanism that combines learning and unlearning. The findings provide a theoretical framework for understanding how artificial knowledge is transformed into co-innovation ecosystem knowledge, offer a new perspective for research on AI-enabled innovation, and provide managerial insights for utilizing the knowledge creation capabilities of AI to promote co-innovation.