While the impact of human-AI interaction on individual performance has garnered significant attention, the influence of generative AI (GenAI) adoption on human-to-human workplace collaboration remains unexplored. Drawing on archival data from a technology company comprising 8,476,046 human-human collaboration records and detailed human-AI interactions from 2022 to 2023, we examine how GenAI shapes workplace social networks. Difference-in-differences estimates reveal that GenAI adoption significantly enhances users' network position, as measured by centrality and structural holes. These effects are more pronounced among employees with higher educational attainment, initially peripheral network positions, and non-computer-science backgrounds. Furthermore, GenAI adopters develop stronger ties with organizational leaders while simultaneously expanding their weak ties across diverse job roles. Further analyses reveal that GenAI adoption catalyzes both cross-functional collaboration and informal interactions. Our findings demonstrate GenAI's potential to foster a more connected, inclusive, and dynamic collaboration environment within organizations.
