Space Review | B.AI Officially Launched: Financial Infrastructure of the AI Agent Era, How to Accelerate the Arrival of AGI?

Recently, B.AI (Chinese brand name: 白B.AI) officially announced its launch, dedicated to building the underlying financial infrastructure for the era of AI Agents. Over the past two years, large model technology has made breakthrough progress, but as applications deepen, the issues of AI Agents lacking independent payment systems, verifiable identities, and closed-loop execution capabilities have become increasingly prominent, leading to a high reliance on manual operations in real business scenarios. The launch of B.AI aims to fill this systemic gap by endowing AI Agents with comprehensive economic execution capabilities, promoting their transformation from passive information exchange nodes to new economic entities that autonomously participate in global value circulation, thus laying a solid commercial foundation and operational cornerstone for the comprehensive arrival of the AGI era.

At this critical juncture where the industry shifts from "competing in intelligence" to "competing in execution," how will the launch of B.AI reshape the future business landscape? Recently, several industry veterans gathered for an in-depth Space roundtable dialogue. The guests engaged in exciting discussions around the core topic of "How B.AI accelerates the arrival of AGI." Below is a summary of the highlights from this Space session.

From "Thinking" to "Doing": How Financial Infrastructure Becomes the Key to AI Breakthroughs?

After two years of rapid advancement, the "intelligence" level of large models has reached an astonishing height. However, when the industry attempts to push AI Agents into real business environments, it finds that the path to implementation is not smooth. In discussing the "core proposition that truly determines the long-term development of the AI industry," many guests shared a highly consistent viewpoint: **the industry's focus has quietly shifted from "intelligence" competition to "execution capability" competition. The key to bridging this gap in real execution capability lies in building a dedicated