#以太坊行情解读 【Bitcoin as the Value Anchor, New L2 Supporting AI Economic Activities】

The evolution of architecture in the crypto world is underway. As we consider the future AI-driven economic system, a clear division of roles emerges: Bitcoin serves as the ultimate store of value and security anchor, while a new public chain designed specifically for intelligent agents becomes the layer for high-frequency interactions.

Why is this combination effective? Let’s look at the technical aspects:

⚡️ **AI-native consensus mechanism** — Traditional PoW/PoS have limited ability to recognize contributions from AI, whereas consensus optimized for intelligent agents enables economic behaviors of machines to become verifiable network drivers.

💸 **Instant micro-payments** — Collaboration among AI agents often involves numerous small transactions; existing solutions' latency and costs are not suitable. True atomic-level payment capability is essential.

🤖 **Autonomous economic agent framework** — Intelligent entities need to automatically discover trading counterparts, negotiate terms, and execute contracts. This is not just a simple wallet function but a complete infrastructure for economic autonomy.

**Closed-loop of the dual-layer ecosystem**

Imagine this scenario: participants in the AI ecosystem store long-term assets on Bitcoin (gaining the highest security and liquidity premium), while daily production, exchange, and settlement operate efficiently on this new L2. The two layers each perform their roles, forming a complete chain from asset storage to economic activity.

What does this mean for early participants? First, capturing dual growth opportunities — enjoying both the stable appreciation of the Bitcoin ecosystem and the explosive potential of the emerging AI economy layer. Second, participating in governance to influence how this new network evolves. Third, gaining priority access to innovative AI applications.

**A practical question**

Within this "base + active layer" framework, which type of "high-consuming" AI applications do you think will achieve scaled operation first? Is it high-frequency scenarios like automated trading execution, or compute-intensive applications like real-time data processing and rendering? Feel free to share your views in the comments.