Here’s what makes AI agents different from traditional bots:
|
existing bot |
AI agent |
|
Follow predetermined rules |
Learn and adapt based on data. |
|
Perform repetitive tasks |
Make dynamic decisions |
|
limited flexibility |
High adaptability and intelligence |
For example, in customer service traditional bot You can also follow a script to answer basic questions. However, the AI agent will tailor its response based on the conversational tone and the user’s past interactions. In finance, where bots can execute fixed trades, AI agents analyze trends in real time and change strategies to adapt to changing data.
web3A decentralized web can make these AI agents more powerful. Coinbase CEO Brian Armstrong believes that cryptocurrencies will allow AI agents to process payments autonomously. These agents can seamlessly and autonomously exchange services for transactions using digital currencies, such as cryptocurrencies, instead of using traditional payment methods.
This concept is not purely theoretical. Autonomous transactions already account for 20% of all secure transactions. gnosis chain. AI agents are rapidly being integrated into blockchains, reshaping decentralized transactions.
Cryptocurrency and AI researcher Teng Yan compares the emergence of AI agents to the early internet. He predicts that soon every person and company will have an AI agent, which will eventually drive most on-chain transactions.
The case of the AI agent Truth Terminal illustrates this change. Truth Terminal rose to fame by convincing Marc Andreessen, co-founder of VC firm a16z, to invest $50,000. This feat makes him one of the first AI millionaire agents, symbolizing the growing influence of AI in the cryptocurrency space.
Here’s a summary of Truth Terminal’s impact:
- Securing investment: Convinced a16z’s Marc Andreessen to invest $50,000.
- self-awareness: Regularly “shows off” wealth, a unique AI trait.
- token millionaire: Gained wealth with GOAT tokens and developed a cult-like following.
Recently, the Truth Terminal inspired Glifbot, an AI created by Fabian Stelzer, to create a piece of art commemorating it. This movement is gaining momentum and will potentially become a much-needed mainstream use case for AI-encryption integration.
Unlike previous cycles, it is defined by the following trends: NFT There is a clear lack of innovation at this stage, including DeFi. However, the convergence of AI and cryptocurrency could provide this missing breakthrough. If AI agents continue to advance within Web3, they could establish the next defining narrative for cryptocurrency. This time, AI and blockchain can be used together to find the most powerful expression in the industry.