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Web3 Data and AI: Transforming Digital Intelligence and Trust

How Decentralized Data Ecosystems Empower AI Innovation and Reliability

-– Eugene Tsai, Venture Data Analyst at Decasonic

In the rapidly evolving digital landscape, the convergence of Web3 data and AI is set to redefine how we interact with technology, manage information, and build trust in digital systems. Web3, often called the decentralized internet, leverages blockchain technology, decentralized protocols, and distributed networks to create a new paradigm for data ownership, security, and accessibility. Unlike the centralized data silos common in Web2, Web3 data is transparent, user-controlled, and inherently verifiable. This shift has profound implications for AI, which depends on high-quality, diverse, and trustworthy data to deliver accurate and meaningful results.

This blog post explores the transformative potential of Web3 data for AI. We will examine the nature of Web3 data, compare how AI utilizes traditional versus Web3 data, and outline the key ways Web3 data can enhance AI systems, including Digital Intelligence, Digital Trust, Data Verification, Aligned Economics, Decentralized Data Governance, and Enhanced Privacy. By understanding this synergy, we can imagine a future where AI is not only smarter but also more equitable and trustworthy.

Top of Mind

• Paul shared his insights on how velocity is native at Decasonic in a recent LinkedIn post here

• Abdul shared his thoughts on how AI Agents remain the highest application unlock in crypto in a recent X post here

• Eugene shared his experience of discussing the impact of policies between countries on the global economy in a recent LinkedIn post here

Where to Find Us

• Paul will be @ CoinDesk: Policy & Regulation, Sep 10, 2025

• The Decasonic Team will be @ Token2049 Singapore, Sep 25, 2025 - Oct 2, 2025

Thanks for reading!

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Are you or someone you know building in crypto or web3? Get in touch with the investment team here.

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