Beyond the model: Protecting enterprise value and building competitive advantage in the AI era

Enterprises are rapidly embedding AI into core business processes, yet a new set of challenges is emerging. As organizations scale AI adoption, many are finding themselves spending significant portions of their AI budgets on model and token consumption, raising important questions around sustainability, ROI, and long-term value creation. At the same time, concerns around intellectual property protection are intensifying. Proprietary business assets such as customer segmentation models, pricing strategies, operating know-how, and personalization logic, represent critical sources of competitive advantage. Yet organizations are increasingly evaluating how these assets can be leveraged through AI without exposing them to broader ecosystems and diminishing their uniqueness over time.

As access to powerful foundation models and AI development tools becomes increasingly democratized, many leaders are asking a fundamental question: if everyone has access to the same AI capabilities, where does sustainable competitive advantage come from?

To address these challenges and share emerging best practices, this executive roundtable will bring together business and technology leaders to explore how enterprises are evolving their AI strategies beyond experimentation and adoption. The discussion will focus on balancing innovation with cost efficiency, protecting proprietary knowledge while accelerating AI deployment, and redesigning operating models to create differentiated value in a world where foundational AI capabilities are increasingly commoditized.

Participants will also explore how enterprises are redesigning operating models to balance innovation, cost efficiency, and protection of core intellectual property. The discussion will examine how organizations can continue to differentiate when the same AI tools and models are accessible to competitors, partners, and service providers alike.