Space Review | How does B.AI bridge the "last mile" of AI Trading implementation?

Recently, the crypto market has experienced a certain degree of repair and recovery, with an increase in on-chain trading activity. Accompanying the mild recovery of the market, AI Trading is rapidly emerging as a new variable, pushing the trading model from "manual operation" to "AI automatic execution."

The AI Agent infrastructure represented by B.AI is attempting to deeply embed powerful AI capabilities into core processes such as market analysis, strategy formulation, and trade execution. This evolution not only significantly broadens the path for low-threshold participation in high-frequency and complex trading but also attempts to construct a more automated and intelligent on-chain financial system, transforming users from mere "operational traders" to "system ecological participants."

As AI is deeply embedded in every gear of trading, will it become the true starting point for the market to brew the next new cycle? This issue of X Space closely analyzes the core thread of "AI Trading and AI Infrastructure." Below is a summary of the highlights from this issue's roundtable discussion.

New Variable in Market Recovery: Comprehensive Analysis of the Logic Behind the Explosion of AI Trading and Market Reconstruction

With the return of liquidity and the warming of trading, AI Trading is becoming a highly explosive new variable. Multiple guests unanimously agree that its breakthrough at this moment is not a short-term hype, but an inevitable result of increasingly complex trading demands resonating with AI technology accumulation.

Both Niu Mo Wang and Crypto.0824 pointed out that the current market demand for AI arises from profound changes in market structure. The current recovery is accompanied by high-frequency fluctuations and repeated washouts. Crypto.0824 stated that in such a complex structural market, traditional pure manual monitoring and operations not only face tremendous energy consumption but are also prone to unnecessary erosion of capital due to emotional fluctuations. Niu Mo Wang also believes that AI can achieve an integrated process from semi-automatic to fully automatic, perfectly compensating for the shortcomings of human speed and risk control.

Furthermore, in addition to the catalysis of real pain points, the technical accumulation during the bear market serves as the underlying support for its explosion. Wang Feng Anc and Mr. Mis emphasized that during the market's liquidity exhaustion and the low period of neglect, true AI teams did not stop but focused on refining their products. Wang Feng Anc believes that when the market recovery drives a significant increase in trading frequency and capital scale, these systems that have undergone long-term technical accumulation will naturally align with the market's pursuit of extreme efficiency.

However, while widely embracing AI, it is essential to clarify its current real role in trading. Guests emphasized that current AI Trading is in a transitional period from "efficiency assistance" to "core participant," with the control of underlying decision-making still belonging to humans. Web3 Monkey sharply pointed out that if the trader's own strategy logic is flawed, using an AI Agent will only accelerate the process of loss. Therefore, AI does not change the trading logic itself, but elevates the game of human strategies to a higher dimension.

Even so, this high-dimensional intervention has already begun to subtly reshape the operational logic of the market. Crypto.0824 pointed out that AI Trading has entered the second phase, transitioning from merely assisting in market summaries to a closed loop of "system capturing information, generating strategies, and executing automatically." This shift has led to an extremely accelerated market response, with trading behavior gradually evolving from being emotionally driven to being driven by models, strategies, and structured data. Mr. Mis emphasized that AI Trading is currently at the starting point of development and will inevitably evolve towards a more intelligent and dominant automated trading era.

Empowering AI Agent with Financial Sovereignty: Analyzing the Underlying Code of B.AI's "Strategy as a Service" Breakthrough

Following the logic that "AI is moving from an auxiliary tool to a core participant," Crypto.0824 further clarified the ultimate goal of AI Trading: if it is merely viewed as a simple "automatic trading tool," its development ceiling is very low. However, if it is placed within the macro on-chain financial system, AI will inevitably evolve into a new generation of underlying infrastructure.

Based on this trend, Crypto.0824 pointed out that future AI will evolve towards three core functions: first, as a trading entry point, where users do not need to personally analyze massive amounts of information but only need to input goals such as "stable returns" or "trend following" to the AI; second, as a strategy generation hub, where AI can customize strategies in real-time based on on-chain data and capital flows; and finally, as an execution and risk control line, automatically adjusting positions, stopping losses, and generating review reports within the authorized scope. This closed loop of "strategy as a service + automatic execution" is the embryonic form of a new type of financial infrastructure.

However, to truly implement this concept of "strategy as a service + automatic execution," relying solely on the leap in intelligence and computing power of large models is far from sufficient. When AI attempts to independently take over capital flow on-chain and effectively act as a "risk control line," it still lacks a compatible on-chain credit identity and a native payment settlement system. In this context, the new generation of AI infrastructure platforms represented by B.AI has emerged. B.AI is committed to bridging the last mile from "computational thinking" to "on-chain execution," truly empowering AI with the core capability to independently execute complex financial strategies.

Specifically, B.AI has demonstrated the following three core product values and highlights in addressing industry pain points and empowering AI trading:

Reshaping the On-Chain Identity and Credit System of Intelligent Agents: In traditional models, AI is merely the underlying code executing instructions, lacking a basis for gaining trust. B.AI introduces the 8004 identity authentication protocol, granting each AI Agent a unique verifiable identity. This protocol tightly binds blockchain addresses with the reputation of the agent, accurately recording its historical trading activities, execution feedback, and credit certificates. This allows AI to establish trust in the market as an "independent economic entity," thereby more safely and compliantly taking over user risk control and strategy execution authorization.

Breaking Down System Friction by Connecting Native Payment Channels: In the past, AI Agents' access to real commercial environments was often limited by traditional fiat payment channels, facing obstacles such as cumbersome account registration, credit card binding, and regional restrictions. B.AI leverages the x402 payment protocol and the on-chain native financial system, enabling AI Agents to directly access on-chain liquidity and payment networks, achieving a seamless closed loop of "strategy generation - order trading - capital clearing," making 24/7 fully automated on-chain arbitrage and high-frequency trading a reality.

Implementing "Strategy as a Service" and Decentralizing Financial Sovereignty: Relying on the underlying architecture built by B.AI, such as the MCP Server and Skills, along with the application layer AI assistant BAIclaw, users do not need to understand complex code logic. They only need to input clear investment intentions to the AI Agent, which, possessing a reliable identity and settlement capability, can automatically obtain on-chain data, formulate exclusive strategies, and complete automatic execution within strictly defined risk control thresholds.

By returning identity, payment, and execution rights to the intelligent agent system, B.AI has broken through the limitations of early AI Trading, which was merely at the "assistance analysis" level, truly achieving an evolution towards a new generation of financial infrastructure. This not only significantly enhances the operational efficiency of on-chain capital but also opens up a new entry point for ordinary users to embrace the Web3 intelligent financial era with low thresholds.