Leaders need to embrace instability and AI

The article discusses the concept of embracing instability and utilizing generative AI to make strategic decisions in a rapidly changing business environment. It emphasizes the need for leaders to abandon the idea of stability and instead focus on generating and processing large amounts of data with the help of AI. The article highlights the role of AI in enhancing decision-making, improving customer experiences, automating tasks, and providing valuable insights. It concludes by stating that AI is essential for driving innovation and success in the business world.

Original article: Leadership alert: The dust will never settle and generative AI can help

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About Paul Welty

Dr. Paul J. Welty is Vice Provost for Academic Innovation at Emory University and Interim Executive Director of Emory Continuing Education. He leads large-scale initiatives integrating AI and emerging technologies to enhance learning, faculty development, and institutional strategy.

His leadership has driven groundbreaking projects including Emory's first faculty information and action system, AI-driven workforce development programs, and establishment of the Emory Center for AI Learning. Under his direction, Emory Continuing Education has launched workforce development initiatives, increased organizational productivity, and expanded access to technology-driven education.

A recognized thought leader on AI's implications for education and work, Dr. Welty regularly contributes to public discourse through research and invited presentations. Recent speaking engagements include Simuvaction 2025 (Quebec City) and the ACEN Learning Symposium keynote on "AI at Work."

Dr. Welty holds a Ph.D. in Philosophy from Emory University with focus in ethics and phenomenology. His career spans technology consulting, academic leadership, and entrepreneurship, consistently driving initiatives that define AI's role in organizational and educational transformation.

This blog examines the intersection of philosophy, technology, and the future of work through analysis that combines conceptual rigor with practical implementation experience.