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AI Agents: Prioritize Utility or Tokenization?

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by Giorgi Kostiuk

13 hours ago


In recent months, AI agents have captured the attention of developers and investors in the crypto industry. Their rapid growth is highlighted by Changpeng Zhao's opinion that not every agent needs its own token.

What Are AI Agents?

AI agents are autonomous systems that analyze their environment and complete tasks with minimal human intervention. They differ from chatbots by their ability to learn and adapt using advanced machine learning models. These agents can interact with decentralized applications (dApps) and smart contracts, managing cryptocurrency assets and analyzing market trends in real-time.

CZ’s Perspective: Utility Over Tokenization

Changpeng Zhao believes not every AI agent needs a unique token. Agents can accept payments for services in other cryptocurrencies. He emphasizes the importance of building scalable systems before launching new tokens, focusing on real-world utility. This reflects his long-standing philosophy of prioritizing practical solutions over speculation, which helped Binance succeed.

Expert Insights and Industry Reactions

Zhao's view is echoed by other industry leaders. Vitalik Buterin and Arthur Hayes have previously highlighted the importance of utility before token issuance. Zhao's post drew diverse reactions, emphasizing that tokens without proper scale and utility could lead to investor losses and damage trust in the industry.

Zhao’s opinion offers a valuable lesson for the AI and crypto industries: success shouldn't hinge solely on token creation. Developers should focus on practical solutions that deliver real value, sparking interest not just in market speculation but in actual product effectiveness.

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