🎉 The #CandyDrop Futures Challenge is live — join now to share a 6 BTC prize pool!
📢 Post your futures trading experience on Gate Square with the event hashtag — $25 × 20 rewards are waiting!
🎁 $500 in futures trial vouchers up for grabs — 20 standout posts will win!
📅 Event Period: August 1, 2025, 15:00 – August 15, 2025, 19:00 (UTC+8)
👉 Event Link: https://www.gate.com/candy-drop/detail/BTC-98
Dare to trade. Dare to win.
AI+Crypto: Four Investment Directions Leading the Blockchain New Era
The Integration of AI and Blockchain: Investment Opportunities in the New Era
With the rapid development of artificial intelligence and blockchain technology, the AI+Crypto field is becoming the focus of investors' attention. The decentralized, highly transparent, and low-energy characteristics of blockchain technology complement AI systems, bringing unprecedented development opportunities to the industry.
Industry experts believe that the application of AI in the cryptocurrency field can be mainly divided into four categories: participants, interfaces, rule makers, and objectives. From the perspective of productivity and production relations, Blockchain mainly provides production relations, while AI can play an important role in computing power optimization, algorithm innovation, and data management.
According to industry research, AI + Web3 projects can be divided into three directions: infrastructure layer, execution layer, and application layer. Among them, projects in the infrastructure and application layers are developing rapidly, such as the computing power platform Io.net and the foundational model Flock.
The following several directions are worth paying special attention to:
zkML combines zero-knowledge proofs and blockchain technology to provide secure and verifiable solutions for AI agent behavior. For example, Modulus Labs uses zkML technology to prove the execution of AI tasks while protecting privacy.
The application of AI in the execution layer includes on-chain data analysis, automated dApp development, and transaction security, among others. For instance, the Web3 Analytics project utilizes AI to deeply analyze on-chain data and reveal market trends.
In the DeFi space, AI-driven trading bots, predictive analytics tools, and AMM liquidity management are transforming traditional financial models. For example, AI can optimize the liquidity range of Uniswap V3, enhancing AMM efficiency.
The application of AI in GameFi mainly focuses on game strategy optimization, asset management, and enhancing game interaction, providing players with a richer gaming experience.
From the time dimension of investment strategy:
With the continuous advancement of technology, the integration of AI and Blockchain will bring more opportunities for investors and drive the entire industry forward. In this rapidly changing field, keeping a constant eye on technological innovation and market trends will be key to formulating successful investment strategies.