Speaker argues current crypto-AI projects lack true utility
A speaker argued that the intersection of crypto and AI is currently dominated by superficial inference projects rather than core applications. They expressed skepticism about current tokens, waiting for a decentralized application with genuine token utility to emerge.
The intersection of crypto and AI is currently dominated by inference projects such as Venice and NEAR, which offer open-source model access or private hosting. While these tokens have performed well recently, a speaker argued that they lack deep integration, functioning more as layer-on utilities rather than core AI applications. The speaker noted that current projects are often speculative or merely add AI features to existing chains without fundamental innovation in how AI is delivered or monetized within the crypto ecosystem.
The speaker stated they are waiting for a true decentralized application powered by AI that rides on a chain with real token utility. They believe such a project could become the next billion-dollar opportunity. Until then, the speaker views the current landscape as lacking the innovative, utility-driven model necessary for sustainable growth in the sector.