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A randomized field experiment with 316 employees across 42 teams shows that grounded GenAI—AI systems customized with firm knowledge—significantly increases employees' centrality in collaboration and knowledge-sharing networks while boosting productivity and satisfaction. Specialists become more sought-after knowledge hubs, whereas generalists gain larger productivity improvements, revealing heterogeneous, role-dependent effects.
The study reframes AI adoption as organizational design: deploy grounded AI as collaboration infrastructure, provide role-specific training, manage network overload, and align performance systems to reward knowledge-sharing as well as output to sustain long-term value.
By HCI Podcast NetworkA randomized field experiment with 316 employees across 42 teams shows that grounded GenAI—AI systems customized with firm knowledge—significantly increases employees' centrality in collaboration and knowledge-sharing networks while boosting productivity and satisfaction. Specialists become more sought-after knowledge hubs, whereas generalists gain larger productivity improvements, revealing heterogeneous, role-dependent effects.
The study reframes AI adoption as organizational design: deploy grounded AI as collaboration infrastructure, provide role-specific training, manage network overload, and align performance systems to reward knowledge-sharing as well as output to sustain long-term value.