The AI Value Capture Playbook: Orchestrating IP, Data, and Monetization Strategy

The AI Value Capture Playbook: Orchestrating IP, Data, and Monetization Strategy

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Artificial intelligence innovation is moving faster than traditional IP strategy was designed to handle—and the pressure is no longer just about protection, but about execution. Companies must now make coordinated decisions across patents, trade secrets, data rights, and licensing models, all while aligning with rapidly evolving product roadmaps and commercialization objectives. Overbuilding portfolios is inefficient and expensive. Under-protecting core assets is risky. What’s required is a “Goldilocks” approach—precision IP strategy that is not too much, not too little, but calibrated to drive enterprise value.

This panel will examine how organizations are building AI-focused IP strategies that integrate three interdependent pillars: protection of core innovation, control and use of data, and monetization of AI-driven outputs.

Panelists will discuss how to identify patentable AI inventions in fast-moving development cycles, when to rely on trade secrets for models and training pipelines, and how to structure global filing strategies that support long-term leverage. At the same time, the discussion will address the increasingly critical role of data—how companies are licensing datasets, managing provenance and compliance risk, and deploying synthetic data to reduce exposure while maintaining performance.

Critically, the conversation will connect these upstream decisions to downstream value creation. Panelists will explore where value actually resides across the AI stack—from data and model architecture to deployment and application layers—and how IP and licensing strategies are being used to generate revenue from models, APIs, datasets, and AI-enabled solutions. The panel will also address emerging risks, including ownership of outputs, indemnification exposure, and competitive access to foundational technologies.