CZ Pushes for Utility in AI Agents; Questions Demand for New Tokens

Key Takeaways:

• Binance founder Changpeng Zhao (CZ) thinks artificial intelligence agents should give genuine utility first priority over releasing fresh coins.
• Instead of building speculative assets, he advises AI agents to take payments in recognized cryptocurrencies.
• His remarks have sparked discussion on the need of tokenization in blockchain applications driven by artificial intelligence.

Artificial intelligence (AI) and blockchain have lately become rather popular together. Claiming to provide distributed automation and machine learning capability, many AI-related initiatives have unveiled their own coins. But Changpeng Zhao (CZ), the founder of Binance, has questioned this strategy since not every artificial intelligence agent needs a specific coin.

The number of AI-powered crypto businesses releasing their own coins has skyrocketed as artificial intelligence acceptance in blockchain develops. These tokens let users engage with AI-driven services by typically acting as staking incentives, payment tools, or governance assets.

CZ questions this trend, though, pointing out that many of these tokens are not really necessary. In a recent post on X—formerly Twitter—he said:

On AI agents, I have an unpopular opinion:

While crypto is the currency for AI, not every agent needs its own token.

Agents can take fees in an existing crypto for providing a service.

Launch a coin only if you have scale. Focus on utility, not tokens.

— CZ BNB (@cz_binance) March 17, 2025

His comment captures a larger business concern: Are artificial intelligence tokens really required, or are they only speculative assets meant to draw investor attention?

According to CZ, rather than add needless complication with new coins, AI applications should interact with current cryptocurrencies. AI agents can still use blockchain technology by letting payments in reputable digital assets as Bitcoin (BTC), Ethereum (ETH), or Binance Coin (BNB), without creating volatility or market fragmentation.

Read more: Changpeng Zhao Criticizes Binance’s Token Listing Process as “A Bit Broken”

Artificial Intelligence and cryptocurrencies: a rapidly expanding but congested field

With developers and investors keen to investigate the possibilities of distributed machine learning, predictive analytics, and AI-powered automation, the artificial intelligence sector has become rather popular inside the cryptocurrency market.

Several initiatives connected to artificial intelligence have attracted interest including: Designed to maximize Web3 applications, a distributed artificial intelligence network called Fetch.ai (FET). SingularityNET (AGIX): An artificial intelligence service and smart contract enabled blockchain-powered platform. Aiming toward the development of artificial intelligence models, the distributed data-sharing protocol known as Ocean Protocol (OCEAN)

Read More: Shivom and SingularityNet partner to drive genomic medical research with AI

By means of blockchain integration, these projects aim to improve the accessibility and efficiency of AI. Critics counter that many AI-related tokens are more useful for fundraising than for basic elements of an artificial intelligence ecosystem.

The comments of CZ have split the crypto scene. Some business professionals agree with his assessment, contending that the market is flooded with tokens with minimal to no genuine value. They think blockchain companies with an eye toward artificial intelligence should first create useful solutions before launching coins, therefore guaranteeing their obvious usage.

Conversely, supporters of artificial intelligence tokenization contend that specialized tokens support self-sustaining ecosystems, therefore facilitating governance, incentive creation, and network involvement. They think cryptocurrencies driven by artificial intelligence can support distributed artificial intelligence models, therefore guaranteeing equitable use of processing capability and rewards.

CZ’s remarks generate significant industry issues including:

• Driven by speculation or are AI tokens a required innovation?
• Should initiatives driven by artificial intelligence combine already-existing cryptocurrencies instead of starting fresh ones?
• Will Ethereum and Bitcoin take front stage as the accepted payment options for artificial intelligence providers?
• How may blockchain and artificial intelligence creators strike a compromise between long-term sustainability and innovation?

The argument over whether AI-driven applications need their own tokens or should rely on existing cryptocurrencies will probably remain a major concern in the sector as artificial intelligence and blockchain technology keep developing.

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