AI agents are autonomous programmes that make decisions, act on assigned tasks and learn from experience without human intervention. Continuous improvement through machine learning enables them to analyse data, predict outcomes and adapt independently, setting them apart from regular bots.

AI Agents vs Regular Bots

1. Scope Type

AI agents can be either task-specific or broad-purpose assistants. They can adapt and make complex decisions based on input and interaction; bots typically follow strict, task-specific rules and provide set responses.

2. Level of Autonomy

AI agents can operate independently. Bots often require some degree of human intervention.

3. Self-Reflection

AI agents can continuously self-evaluate their performance, learn, and enhance their output; Bots are restricted to their pre-programmed responses and lack the ability to self-improve.

4. Collaboration

AI agents can communicate and work with other agents, APIs, and applications, including executing independent transactions. Bots are generally limited to generating text responses without external interactions.

5. Use Cases

AI agents have diverse, versatile applications, serving roles like personal assistants or financial analysts with expanding applications as the technology advances. Bots are typically employed in customer service roles on websites.

AI Agents in Crypto

In the crypto Web3 funds context, AI agents are integrated into crypto wallets to interact with blockchains. This allows them to trade, execute smart contracts, and participate in activities such as trading, token swapping and portfolio management.

These days, popular AI agents act as key opinion leaders (KOLs) with large followings on X. AIXBT monitors Crypto Twitter discussions and identifies trending narratives, delivering real-time crypto insights through its X account.

Its token, $AIXBT, has since achieved a market cap of $250M in less than a month, with over 100K followers on X. Similarly, Luna, the digital persona of AI girl band AI-DOL, engages with her audiences on social media posts and livestreams, in pursuit of increasing the $LUNA market cap to $40.09B.

While AI agents are still in their infancy, they show significant promise beyond the current meme and KOL-dominated landscape. Functional AI agents are gaining traction, especially in areas that require optimised strategies like trading, portfolio management, DeFi, and even crypto VC funds.

The growing presence of AI Agents in the crypto space highlights a broader movement toward AI integration where complex tasks could be easily automated with little human intervention, setting the stage for a more sophisticated web3 ecosystem.


*Disclaimer: The information provided on this blog does not constitute investment advice, financial advice, trading advice, or any other form of professional advice. aelf makes no guarantees or warranties about the accuracy, completeness, or timeliness of the information on this blog. You should not make any investment decisions based solely on the information provided on this blog. You should always consult with a qualified financial or legal advisor before making any investment decisions.

What's aelf Ventures?

aelf Ventures is the investment arm of aelf, a high-performance Layer 1 AI blockchain platform that offers builders and users advanced AI functionalities and cutting-edge infrastructure. With a dedicated fund of $50 million, aelf Ventures is focused on empowering Layer 1 blockchain projects and various aspects of the Web3 ecosystem, such as DeFi, GameFi, NFT, and those looking to make the transition from Web2 to Web3.

Till date, aelf Ventures has invested in projects such Crystal Fun and Confiction Labs (pka. Mythic Protocol), and is actively incubating promising ventures within the ecosystem such as Portkey, eBridge, Forest NFT Marketplace, AwakenSwap, eWell, and BeanGoTown.

Find out more about aelf and stay connected with our community:

Website | X | Telegram | Discord

Back to Blog