Is Enterprise Defensibility Possible in an AI's World?

The session examines the evolving challenge of maintaining enterprise defensibility amid rapid advances in artificial intelligence. It underscores the tension between AI's democratizing effects—making powerful tools accessible to many—and the need for companies to preserve unique competitive moats. Leaders must rethink traditional barriers and embrace new frameworks that combine proprietary data, contextual expertise, and customer trust to remain resilient.

The discussion highlights key dimensions where defensibility can be sustained or enhanced: leveraging specialized domain knowledge to create high-value AI applications; integrating AI seamlessly with human workflows to boost differentiated outcomes; and cultivating partnerships to drive broader adoption while controlling critical technology components. Emphasis is placed on continuous innovation, responsible AI practices, and agility as strategic imperatives. The session provides executive insights on balancing openness with protection in a landscape where AI capabilities rapidly commoditize.

• Reconceptualizing enterprise moats beyond patents or exclusive tech ownership
• Leveraging domain expertise and contextual data to build AI-driven differentiation
• Hybrid human-AI models as sources of sustainable competitive advantage
• Strategic partnerships to scale AI adoption while safeguarding core assets
• Balancing innovation velocity and responsible AI stewardship for long-term resilience