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Our Report: Crypto and AI Convergence Will Lead to New applications and Innovations in Digital Infrastructure

Today, we published a report titled 'Unlocking the Infinite Potential of Crypto and AI.' The report explores the convergence of AI and crypto, a major trend in the current market cycle that is giving rise to new applications and innovations encompassing areas like model training, AI agents, metaverse, gaming and robots as a service.

We anticipate rapid development in the basic infrastructure and application level of this convergence, leading to our recent investments in:

  • io.net: A decentralized platform that reduces resource costs and ensures economic efficiency through token incentives and hardware aggregation;

  • MyShell: An open ecosystem that allows users to train personalized AI agents using game clips. Currently, MyShell's GitHub repository boasts 14,900 stars and 13,000 forks, with a peak daily activity exceeding 100,000, making it one of the most active communities for creators and users in the field;

  • 0G: A highly efficient, secure, and programmable Data Availability (DA) layer optimized for on-chain AI, aiming to revolutionize blockchain scalability while maintaining decentralization and security performance;

  • FLock.io: An on-chain AI co-creation platform; and

  • 0xscope: An internet protocol that leverages on-chain data and blockchain industry data to generate data analytics for generating Web3 entities, a knowledge graph with Web3 recommendation algorithms and a Web3 data layer for decentralized applications.

The report highlights the unprecedented growth of the AI space, underscored by a 581%* year-on-year (YoY) increase in AI computing company Nvidia's net profit in 2023, as a testament to the industry's potential. In addition, the report provides a detailed overview of the potential of crypto and AI, outlining the vast application scenarios of crypto for AI. This includes the assetization of crucial components such as:

  • AI Agents: For example, MyShell is an open ecosystem that enables users to train personalized AI agents using game clips.

    • OKX has identified three primary directions for the future development of AI agents:

      • The intelligentization and agentization of assets: This will expand their use cases and value by empowering them to operate and interact autonomously.

      • Fostering interoperability among agents: This will elevate the overall performance of the ecosystem by establishing standards and frameworks that enable smooth interaction and collaboration among diverse AI agents.

      • Build a brand new agent economy system merging AI and blockchain technology: This is aimed at unlocking a novel economic model where AI agents play pivotal roles in content creation, financial services and other domains.

  • Decentralized algorithms: An example is io.net, which reduces resource costs and ensures economic efficiency through token incentives and hardware aggregation.

  • Data: An example is 0xScope, an internet protocol that leverages on-chain data and blockchain industry data to generate data analytics for generating Web3 entities, a knowledge graph with Web3 recommendation algorithms and a Web3 data layer for decentralized applications.

*Source: Valor International (February 22, 2024)

Disclaimer
This content is provided for informational purposes only and may cover products that are not available in your region. It is not intended to provide (i) investment advice or an investment recommendation; (ii) an offer or solicitation to buy, sell, or hold crypto/digital assets, or (iii) financial, accounting, legal, or tax advice. Crypto/digital asset holdings, including stablecoins, involve a high degree of risk and can fluctuate greatly. You should carefully consider whether trading or holding crypto/digital assets is suitable for you in light of your financial condition. Please consult your legal/tax/investment professional for questions about your specific circumstances. Information (including market data and statistical information, if any) appearing in this post is for general information purposes only. While all reasonable care has been taken in preparing this data and graphs, no responsibility or liability is accepted for any errors of fact or omission expressed herein.

© 2025 OKX. This article may be reproduced or distributed in its entirety, or excerpts of 100 words or less of this article may be used, provided such use is non-commercial. Any reproduction or distribution of the entire article must also prominently state: “This article is © 2025 OKX and is used with permission.” Permitted excerpts must cite to the name of the article and include attribution, for example “Article Name, [author name if applicable], © 2025 OKX.” Some content may be generated or assisted by artificial intelligence (AI) tools. No derivative works or other uses of this article are permitted.

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