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- 🎉 Hey Gate Square friends! Non-stop perks and endless excitement—our hottest posting reward events are ongoing now! The more you post, the more you win. Don’t miss your exclusive goodies! 🚀
🆘 #Gate 2025 Semi-Year Community Gala# | Square Content Creator TOP 10
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Post your - 💙 Gate Square #Gate Blue Challenge# 💙
Show your limitless creativity with Gate Blue!
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August 11 – 20, 2025
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3. Add a short blessing or message for Gate in your content (e.g., “Wishing Gate Exchange continued success — may the blue shine forever!”).
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AI + Crypto Investment Frontier: Analysis of Four Directions and Three-Stage Strategies
The Integration of AI and Blockchain: An Analysis of Investment Opportunities and Challenges
In recent years, the rapid development of artificial intelligence and blockchain technology has made AI+Crypto an investment hotspot. The decentralized and highly transparent characteristics of blockchain complement AI systems, bringing new opportunities to the industry.
Industry experts believe that the application of AI in Crypto can be mainly divided into four categories: as application participants, interfaces, rules, and objectives. From the perspective of productivity, Crypto mainly provides production relationships and can be approached from three directions: optimizing computing power, algorithms, and data.
Research institutions classify AI + Web3 projects into three layers: the foundational layer, the execution layer, and the application layer. The foundational layer includes model training, decentralized computing power, etc.; the execution layer involves data processing, AI agents, etc.; the application layer mainly consists of AI + DeFi, AI + GameFi, etc. Among them, the infrastructure and application layers are developing rapidly.
Several investment directions worth paying attention to include:
zkML technology: Combines zero-knowledge proofs and Blockchain to provide secure and verifiable solutions for AI agent behavior. Representative projects include Modulus Labs, Giza, etc.
Data Processing: The application of AI in on-chain data analysis, automated dApp development, transaction security, etc. Such as Web3 Analytics, SeQure and other projects.
AI+DeFi: Including AI-driven trading robots, predictive analytics tools, AMM liquidity management, etc.
AI+GameFi: Optimizing game strategies, managing game assets, and enhancing game interaction through AI.
From an investment strategy perspective:
The AI+Crypto field is rapidly developing, providing diversified opportunities for investors. With continuous technological advancements, this field is expected to unleash greater potential in the future.