AI+Crypto: Exploring Future Investment Opportunities

In recent years, the rapid development of artificial intelligence and blockchain technology has made AI+Crypto an investment hotspot. The decentralized, highly transparent, and low-energy characteristics of blockchain effectively compensate for the centralization and opacity issues of AI systems, and the combination of the two brings significant opportunities to the industry.

Industry experts believe that the application of AI in Crypto mainly includes four aspects: as application participants, interfaces, rules, and objectives. From the perspective of productivity and production relations, Crypto primarily provides production relations, which can be considered from three directions: optimizing computing power, algorithms, and data.

According to the technical architecture, AI+Crypto projects can be divided into the infrastructure layer, execution layer, and application layer. The infrastructure layer involves model training, data processing, and decentralized computing power; the execution layer includes data processing, AI agents, and zkML; the application layer covers multiple fields such as AI+DeFi and AI+GameFi.

The following directions are worth paying special attention to:

zkML Technology

The zkML technology combines zero-knowledge proofs and blockchain to provide a secure and verifiable solution for monitoring AI agent behavior. It can prove the execution of AI tasks while protecting privacy, making smart contracts more flexible and adaptive.

Representative projects include:

• Modulus Labs: Building On-chain AI Application Examples
• Giza: A protocol for deploying AI models on the blockchain
• Zkaptcha: Provides on-chain verification code services

Data Processing

The breakthroughs of AI in the execution layer are mainly reflected in the following aspects:

1. On-chain data analysis: Use AI to deeply mine blockchain data and gain market insights.
2. Automated dApp Development: AI-assisted development tools accelerate smart contract writing and error correction.
3. On-chain transaction security: AI agents deployed on the blockchain enhance system security and credibility.

AI+DeFi

The combination of AI and DeFi mainly includes:

1. AI-driven trading bots: Quickly and accurately execute trading decisions.
2. Predictive Analysis: Provides forecasts for market trends and price movements.
3. AMM Liquidity Management: Smartly adjusting liquidity range to optimize efficiency.
4. Settlement Protection and Debt Management: Implement intelligent protection strategies by combining on-chain and off-chain data.
5. Complex DeFi product design: Design flexible financial products based on AI models.

AI+GameFi

The application of AI in GameFi is mainly reflected in:

1. Game strategy optimization: Adjust difficulty and strategy based on player habits.
2. Game Asset Management: Smart management and trading of virtual assets.
3. Enhance game interaction: Create intelligently responsive NPCs to improve the gaming experience.

Investment Strategy Outlook

• Short term: Focus on the conceptual applications of AI in the Crypto field and meme projects.
• Mid-term: Focus on the integration of AI Agents and Intents, as well as their fusion with smart contracts.
• Long-term: The combination of AI and zkML technology will have a profound impact on the Crypto field.

With the continuous development of technology, the AI+Crypto field will continue to emerge with new investment opportunities. Investors should closely monitor industry dynamics to grasp future trends.