Binance Founder CZ Optimistic About AI Agent Trading and Payments Launching Within Months
Binance founder CZ stated in an interview with Alex Thorn on the Galaxy Brains podcast that he subscribes to all major AI models and switches between them as needed. He noted that OpenAI is the earliest to implement, Claude is suitable for coding, and Chinese models like DeepSeek and Kimi are practical in specific regions, emphasizing "use whichever works."
He believes that AI agent trading and payments will be realized within months, as blockchain's API friendliness makes it easier to integrate with AI, surpassing traditional payment systems.
CZ also pointed out that the AI competition between China and the U.S. will cover areas such as chips and data centers, with competition driving growth but requiring cautious regulation, as its complexity far exceeds that of the crypto industry.
Source: Public Information
ABAB AI Insight
CZ previously invested in the AI sector through YZI Labs, and this interview reflects his deep personal use and long-term optimism about the integration of AI and blockchain, continuing his pragmatic stance on technology.
In terms of capital pathways, blockchain projects will benefit from the demand for AI agent integration, with resources shifting towards payment and agent-compatible infrastructure to seize the upcoming months' window.
Similar to the early cross-application exploration of crypto and AI, AI is currently in the early stages of agentization and payment integration, with the U.S.-China competition accelerating global technological iteration.
Essentially, this pertains to technological replacement and regulatory changes: AI agents drive blockchain payments to reconstruct traditional financial processes, with capital concentrating on easily integrable protocols, while the complexity of AI regulation may trigger a new global policy framework, impacting the industry's long-term pricing power.
ABAB News · Cognitive Law
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Competition accelerates but dangers coexist: the U.S.-China AI race, with significant risks of regulatory lag.