ChainCatcher News, at the "Build and Scale in 2026" themed forum recently held by ChainCatcher in Hong Kong, Art Abal, Managing Director of the Vana Foundation, delivered a speech on the topic of "Why Data is Crucial for Building AI," systematically elaborating on the core value of data as the "context" in an AI-dominated era, and how users can regain data sovereignty and unlock its potential economic value through decentralized technologies. Art Abal pointed out that the current AI ecosystem has already experienced severe data monopolization. The majority of consumers rely on a single general AI assistant and rarely use other major models, leading to the centralization of data and context. At the same time, large technology companies have continued in recent years to restrict API access, terminate free services, and plan to charge, effectively depriving users of control over their data and its contextual value. In response, Vana has proposed a comprehensive solution. First, by developing tools that enable users to truly own their data; second, by establishing protocols to achieve cross-platform data portability; and finally, by building an ecosystem that encompasses applications, data DAOs (Decentralized Autonomous Organizations), and services to unlock the deep value of data. He concluded that in the AI era, data is context, and context is the key to differentiation. Vana's mission is to return control of data, its context, and its economic value back to every user through decentralized protocols and ecosystems, in order to build a more open and fair data-value internet.
Vana Foundation's Art Abal: Data as Context, Users Should Reclaim Data Sovereignty
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At the 'Build and Scale in 2026' forum in Hong Kong, Vana Foundation's Art Abal emphasized the role of data in AI development, noting the centralization risks tied to inflation data control. He called for a decentralized model where users own and monetize their data. The discussion aligns with growing AI + crypto news, as projects seek to redefine data ownership and value distribution.
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