Diverging from functional view of AI as a sophisticated technological product, this research positions AI as an innovation force that facilitates the convergence and integration of knowledge across disciplines. Empirically grounded in the context of geological exploration, this study employs a 24-month longitudinal case study to illustrate how AI-driven knowledge crossing emerges. This study observed a collective balance of knowledge-based interests across seven stakeholder groups, reflecting the demand for AI sophistication, the realities of geological exploration, and the imperatives of operational decision-making. The research identifies six distinct patterns of knowledge crossing at syntactic, semantic and pragmatic levels, offering a nuanced yet critical reflection on AI 's transformative impacts on cross-disciplinary knowledge creation.
