The Importance of Data in AI Development Highlighted at Hong Kong Forum

At a recent forum in Hong Kong titled 'Build and Scale in 2026,' Art Abal, Managing Director of the Vana Foundation, delivered a speech on the critical role of data in AI development. According to ChainCatcher, Abal emphasized the core value of data as 'context' in an AI-driven era and discussed how decentralized technology can empower users to reclaim data sovereignty and unlock its potential economic value. Abal highlighted the current issue of data monopolization within the AI ecosystem. He noted that most consumers rely on a single general AI assistant and rarely use other major models, leading to centralized data and context. Additionally, large tech companies have increasingly restricted API access, terminated free services, and introduced charges, effectively stripping users of control over their data and its contextual value. In response, Vana has proposed a comprehensive solution. This includes developing tools that allow users to truly own their data, establishing protocols for cross-platform data portability, and creating an ecosystem encompassing applications, data DAOs (decentralized autonomous organizations), and services to unlock the deeper value of data. Abal 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, context, and its economic value to every user through decentralized protocols and ecosystems, aiming to build a more open and equitable data value internet.