"The winning strategy will start with value, then align protection, data control and licensing around that value. Companies that get this right will build IP strategies calibrated to enterprise value. The companies that get this wrong will either overprotect assets that do not matter or under-protect the assets that could drive competitive advantage. Protection, Data Control and Commercialization A practical AI intangible asset strategy should be built around three interdependent pillars."
AI innovation is outpacing traditional intellectual property strategy because AI development, regulation, and commercialization pathways differ from legacy IP models. Value is driven across distributed intangible domains including patents, trade secrets, data rights, software architecture, licensing models, and customer contracts. Companies must determine what to protect, who controls inputs, who owns outputs, what can be commercialized legally, and which protection form creates the most business leverage. A risk-reward lens should guide decisions across these areas. The winning approach starts with value, then aligns protection, data control, and licensing to that value. Misalignment leads to overprotection of irrelevant assets or underprotection of competitive advantages.
Read at IPWatchdog.com | Patents & Intellectual Property Law
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