This conversation explores how small, self-governing teams are outperforming traditional hierarchies in the rapid implementation of artificial intelligence. To succeed, organizations should empower cross-functional units with the authority to make quick decisions, thereby reducing bureaucratic delays and accelerating innovation cycles. While these independent groups drive faster time-to-value, the author emphasizes that leaders must also build enterprise-scale coordination through shared platforms and knowledge-sharing communities. This dual operating system prevents technical fragmentation and ensures individual team efforts remain aligned with broader strategic goals. Ultimately, the text argues that balancing local agility with centralized governance is the primary requirement for achieving long-term competitive advantages in the AI era.

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