lows, and provide insights that enhance decision-making, ultimately freeing individuals to focus on creativity, strategy, and human connection.

Liza emphasizes that digital twins are most powerful when designed with purpose and responsibility. Rather than replacing human talent, they extend it—augmenting skills, amplifying strengths, and providing a safety net against error and inefficiency. By offloading repetitive or data-heavy tasks, digital twins give people the space to lead with empathy, innovation, and clarity. In this way, they not only transform individual performance but also reshape entire organizations, creating cultures where AI and human collaboration drive mutual growth.

She also highlights the ripple effect of these AI teammates across industries. From healthcare to manufacturing to corporate leadership, digital twins enable faster adaptation to change, stronger resilience in complex environments, and smarter use of resources. Importantly, Liza stresses the need for ethical frameworks and values-driven governance, ensuring that AI teammates enhance trust and empower people rather than erode agency.

The session leaves participants with both inspiration and a roadmap: digital twins are no longer a distant vision but a present-day tool for building more effective, adaptive, and human-centered organizations. By embracing AI teammates thoughtfully, leaders can unlock a future of work that is not only more efficient, but also more meaningful.