Incentivizing Innovation: Role of Liquid Tokens in Decentralized AI Networks | Crypto x AI Event

Bullish:

• $CRYPTOAI - There's strong potential for AI-related crypto tokens to perform well over the next 12-18 months, driven by the current attention-based pricing in crypto markets and the massive focus on AI from major tech companies.

  • “I feel pretty strongly that if, you know, if you generally believe in the attention theory of of of price within crypto right now, And if you assume that paradigm exists for, call it, another 12 to 18 months, there's no world in which the broader set of AI coins does not perform well.”

    Shayon·39:33
• $VERTICALAI - There's significant potential in specialized AI models for specific use cases, particularly in areas like DeFi transactions, where fine-grained, vertical-specific models could offer advantages over general-purpose models.

  • “One innovation that's happening is there are teams that are building very specific large language models for this use case. So this is, like, an area where I think there's an opportunity for fine grained, vertical specific models that are not general purpose models.”

    Ed·51:00
• $DEPIN - The market for GPU deep learning infrastructure is projected to grow significantly, potentially reaching $18-27 trillion over the next decade, presenting a massive investment opportunity.

  • “McKinsey projects, that market's gonna be in the 18 to $27,000,000,000,000 over the next decade or so. And that's multiple times the GDP of the entire United Kingdom.”

    Ed·20:25
• $DAPP - There's potential in using Web3 infrastructure to serve Web2 customers, particularly in the context of AI agents, which could bring new economics to traditional web services.

  • “So we we kind of think that the exciting thing here, the the summary, is that if you can bring new economics to web 2 customers using a web 3 stack, that's pretty interesting.”

    Ed·20:25