AgentFi
AgentFi
AgentFi
AgentFi
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AgentFi

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Since ancient times , humans have been active in order to obtain the food, clothing, fuel, and other necessities of life. Starting with barter, currency was born, and many transactions have been replaced by digital methods. Now, with the emergence of AI agents, Agentic Commerce (zero-click purchasing) is becoming more common. In other words, the ultimate form of shopping is one in which humans do not buy directly.

 

AI can do anything for humans, but its biggest drawback is that it doesn't have money. As A16z predicted a year ago, the day when AI agents hold wallets is fast approaching. Credit card brands and payment startups are increasingly issuing cards for AI , and in the cryptocurrency space, there are also moves to build decentralized ecosystems that utilize wallets.

 

We are now in an era where AI agents are also required to have expertise, and in addition to large-scale LLMs , specialized AI agents using SLMs and RAGs are appearing. In the future, multi-agent systems in which multiple AI agents build networks based on each other's expertise are expected to become mainstream.

 

Originally , Web3 , a decentralized management system , is well suited to multi-agent systems. When a demanding AI agent is created, transactions increase, the value of the native token used there rises, and a virtuous cycle is created where the value is reinvested in the evolution of the AI ​​agent. This demand is not only generated by humans, but can also be used by other AI agents to achieve their goals, so a networked multi-agent system naturally emerges, and an ecosystem is built around it.

 

Web3 business models, including ICOs , NFTs , and DeFi , have a history of booming and then being swayed by the volatility of crypto assets. However, this also presents a great opportunity to identify valuable business models.

Report format: PDF (6.6MB)

Original data: PowerPoint, 64 slides, A4 size