Space Recap | How B.AI Bridges the “Last Mile” of AI Trading Implementation?

Recently, the crypto market has experienced a degree of recovery and warming, with on-chain trading activity also increasing. Alongside this moderate market recovery, a new variable—AI Trading—is rapidly emerging, propelling the evolution of trading models from "manual operation" to "AI automated execution."

AI Agent infrastructure, represented by B.AI, is attempting to deeply integrate 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-barrier participation in high-frequency and complex trading but also strives to build a more automated and intelligent on-chain financial system, transforming users from mere "operational traders" into "system ecosystem participants."

When AI is deeply embedded in every gear of trading, could it become the true starting point for the market to breed the next new cycle? This edition of X Space delves deeply into the core theme of "AI Trading and AI Infrastructure." Below is a recap of the highlights from this Space roundtable discussion.

New Variables in the Cyclical Recovery: A Comprehensive Analysis of AI Trading's Explosive Logic and Market Restructuring

With the return of liquidity and the revival of trading, AI Trading is becoming a highly explosive new variable. Several guests agreed that its current breakout is not a short-term hype but rather the inevitable result of the resonance between increasingly complex trading demands and the accumulation of AI technology.

Both Bull King (牛魔王) and Crypto.0824 pointed out that the current market demand for AI stems from profound changes in market structure. The current recovery is accompanied by high-frequency fluctuations and repeated shakeouts. Crypto.0824 stated that in this complex structural market, traditional manual chart-watching and manual operations are not only mentally draining but also highly susceptible to unnecessary loss of principal due to emotional volatility. Bull King similarly believes that AI can achieve an integrated process from semi-automation to full automation, perfectly compensating for human shortcomings in speed and risk control.

Secondly, beyond the catalysis of real-world pain points, the technological accumulation during the bear market serves as the underlying support for its breakout. Wang FengAnc (王峰Anc) and Mr. Rice (米斯先生) emphasized that during the bleak period of market liquidity drying up and lack of interest, true AI teams did not stop but instead focused on polishing their products. Wang FengAnc believes that when the market recovers, driving a significant increase in trading frequency and capital scale, these systems, which have undergone long periods of technological accumulation, naturally align with the market's pursuit of ultimate efficiency.

However, while broadly embracing AI, it is crucial to clarify its current actual role in trading. The guests emphasized that current AI Trading is in a transitional phase, moving from an "efficiency assistant" towards a "core participant," with the control of underlying decisions still belonging to humans. Web3 Monkey (Web3猴子) sharply pointed out that if a trader's own strategic logic is flawed, using an AI Agent will only accelerate the process of losses. Therefore, AI does not change the logic of trading itself, but rather elevates the game of human strategy to a higher dimension.

Even so, this higher-dimensional intervention has begun to subtly reshape the operational logic of the market. Crypto.0824 pointed out that AI Trading has entered its second phase, evolving from simple market summary assistance to a closed loop where "the system captures information, generates strategies, and executes them automatically." This shift leads to extremely fast market reaction times, and trading behavior is gradually transitioning from being emotionally driven to being driven by models, strategies, and data structures. Mr. Rice emphasized that AI Trading is currently at the starting point of its development and will inevitably evolve towards a more intelligent and dominant era of automated trading in the future.

Granting Financial Sovereignty to AI Agents: Decoding the Core Blueprint of B.AI's "Strategy as a Service" Breakthrough

Following the logical thread of "AI moving from an auxiliary tool to a core participant," Crypto.0824 further pinpointed the endgame of AI Trading: if it's merely treated as a simple "automatic buy/sell tool," its development ceiling is extremely low. However, if placed within the macro on-chain financial system, AI is bound to 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 interface, users no longer need to research vast amounts of information themselves; they only need to input target intentions like "stable returns" or "trend following" to the AI. Second, as a strategy generation hub, AI can customize strategies in real-time based on on-chain data and capital flows. Third, as an execution and risk control line, it can automatically rebalance positions, set stop-losses, and generate review reports within authorized limits. This closed loop of "Strategy as a Service + Automated Execution" is the prototype of a new type of financial infrastructure.

However, realizing this "Strategy as a Service + Automated Execution" concept truly requires more than just leaps in large model intelligence and computing power. When AI attempts to independently manage capital flows on-chain and effectively serve as a "risk control line," it still lacks a suitable on-chain credit identity and native payment/settlement system. Against this backdrop, a new generation of AI infrastructure platforms represented by B.AI has emerged. B.AI is dedicated to bridging the last mile from "computational thinking" to "on-chain execution," truly granting AI the core capability to independently execute complex financial strategies.

Specifically, in addressing the real-world pain points of the industry and empowering AI trading, B.AI demonstrates the following three core product values and highlights:

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

Establishing Native Payment Channels to Eliminate Systemic Friction: In the past, AI Agents accessing real business environments were often limited by traditional fiat payment channels, facing obstacles such as cumbersome account registration, credit card binding, and geographical restrictions. B.AI, leveraging the x402 payment protocol and the native on-chain financial system, systematically empowers AI Agents to directly call upon on-chain liquidity and payment networks, achieving a seamless closed loop of "strategy generation-order execution-capital settlement," 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 MCP Server and Skills, as well as the application-layer AI assistant BAIclaw, users no longer need to understand complex code logic. Users simply input clear investment intentions to the AI Agent. The AI Agent, equipped with a reliable identity and settlement capabilities, can then automatically fetch on-chain data, formulate specific strategies, and execute them automatically within strictly set risk control thresholds.

By returning identity, payment, and execution rights to the agent system, B.AI breaks through the limitation of early AI Trading, which remained at the "auxiliary 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 a new gateway for ordinary users to embrace the era of Web3 smart finance with a low barrier to entry.