This conversation explores how customized generative AI functions as a transformative collaboration infrastructure rather than just a personal productivity tool. By integrating internal company data, these systems significantly increase employee connectivity within organizational networks, helping workers share information and coordinate tasks more effectively. The study distinguishes between specialists, who become more central as knowledge experts, and generalists, who experience the greatest leaps in overall output. These shifts suggest that AI rewires the social fabric of a firm, requiring leaders to move beyond individual metrics to manage new patterns of human interaction. To succeed, organizations must implement role-specific training and update performance reviews to reward those who facilitate this tech-enabled collective intelligence. Ultimately, they argue that AI adoption is a fundamental organizational design challenge that demands proactive change management and equitable governance.

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