The founder of CHAINGPT expects the adoption of the artificial intelligence agent to convert encrypted currencies

Industry experts expect artificial intelligence agents to benefit from the encoded currency market and the Blockchain environmental systems on a large scale. These independent systems can improve investment strategies and implement deals more effectively while discovering threats and mitigating them.

Beincrypto spoke with the founder of Chaingpt Ilan Rakmanov about the fields of industry that artificial intelligence agents will significantly affect and the risks to be addressed for the safe publication of these emerging technologies.

the The market of artificial intelligence agents is high

Artificial intelligence agents are a fundamental shift in the development of Blockchain technology and cryptocurrency. These independent systems make decisions and perform tasks independently.

It is able to enhance intelligence, ability to adapt and justice in financial mechanisms. Unlike artificial intelligence robots, artificial intelligence agents adapt to tasks and deal with multi -step processes independently directed towards the target.

“We believe that in 2025, we may see the first agent of artificial intelligence” join the workforce “and make a significant change in companies production. Sam Altman, CEO of Openai, wrote in a blog earlier this month:” We still think Putting the wonderful tools in the hands of people frequently leads to great and widely distributed results. “

In a recent report, the director of asset Franklin Templeton also emphasized the advantages associated with the clients of artificial intelligence.

“We can imagine a future as AL’s agents revolutionize the creation of content on social media and play a fundamental role across various industries and platforms. As with human influencers today, these agents can launch their commercial marks, products, music, films, and many other, Which leads to a significant economic value of their environmental systems.

According to Coingecko, artificial intelligence agents set out as a market category shortly after the Goat Terminal’s Goat Terminal icon was launched last October. Currently, the market value of symbols of artificial intelligence agent is more than $ 12 billion.

This is a noticeable growth given the fact that the majority of this sector of the market was not present a year ago.

Currently, more than 150 distinctive code has been listed for cryptocurrencies used for artificial intelligence agents in CoinMarketca. This number represents the boom in projects related to artificial intelligence agents and its promises to the future of the sector.

AIXBT, AI16z, Virtuals Protocol and Zeerbro are among the other prominent examples. Artificial intelligence platforms such as Chaingpt, Dall-E and Midjournyy also stimulate innovation in this sector.

Due to this dynamic growth, it is safe to say that artificial intelligence agents will continue to lead change in the dynamics of artificial intelligence and industries associated with cryptocurrencies with the acceleration of adoption.

Changes in how to make encryption markets

While last year witnessed the use of these independent systems mainly to create content and interact with social media to attract attention, artificial intelligence agents may be in the trading of encrypted currencies a specific direction in 2025.

Although artificial intelligence agents share some functions with trading robots based on artificial intelligence, they represent a more advanced level of technology.

For example, the distinctive feature of encrypted artificial intelligence agents is their inherent independence. This feature allows them to work independently. Artificial intelligence agents can constantly monitor market conditions and implement procedures based on pre -defined parameters without the need for continuous intervention of the user.

This level of independence distinguishes customers of coded intelligence from traditional trading robots. Therefore, they can actively act as assistants who depend on themselves to manage encrypted currency portfolios and implement trading strategies.

“Artificial intelligence trading robots work to change the way the cryptocurrency market works. It provides a quick and accurate decision -making process. Rahmanov told Beincrypto:“ They are able to analyze market trends, implement deals, and manage portfolios more Many people’s efficiency, while they also help reduce emotional decisions. ”

The main feature that distinguishes these tools is their ability to learn from historical market data and improve their predictive models continuously.

This automated learning capacity enables automatic trading systems to work continuously, determine and benefit trading opportunities, which may not be immediately clear to human traders due to restrictions in time and the scope of interest.

Also, the capabilities of artificial intelligence agents extend to other areas of the ecosystem of encrypted currencies, such as Defi Protocols.

Simplify Defi protocols

The ability of artificial intelligence agents to carry out tasks at high speeds makes them a decisive tool in the decentral financing sector (Defi).

“Artificial intelligence has become a familiar name, and its effect now reaches the world of decentralized financing (Defi). Rahmanov said:” By automating and improving operations, artificial intelligence makes decentralized financing more intelligent and more efficient. “

Crypto AI agents work on a three -step process: data collection, data analysis, and automated implementation. In the first step, artificial intelligence agent collects large data from different sources, including market trends, Blockchain transactions and Defi statistics.

This data is then analyzed using advanced automatic learning algorithms and predictive analysis techniques for identifying patterns and determining the optimal course of work.

Finally, based on this analysis, artificial intelligence agent implement the procedures specified independently, such as conducting trading operations, transferring funds between the portfolio, or activating the implementation of smart contracts.

“Artificial intelligence can improve risk assessment in lending protocols by evaluating borrowers more accurately, which leads to better decisions. It can also make liquidity complexes work smarterly by predicting user behavior and market trends, reducing waste and inefficiency. Rahmanov added : “In addition, artificial intelligence can enable smart contracts to adapt to the real world changes automatically, without the need for human inputs.”

By doing this, artificial intelligence agents facilitate the interaction of Defi significantly.

“These innovations not only make decentralized financing systems more effective, but also make them easier to reach them and ease of use, which paves the way for their adoption on a broader scale by people from all aspects of life.”

In addition to their attractiveness to institutional investors or professional traders, artificial intelligence agents can be used to attract a broader audience to Web3 technologies in general.

Artificial intelligence agents increase access to users

Independent agents can make access to the industry easier by mainly dismantling and implementing complex mechanisms automatically.

“Artificial intelligence agents can simplify interactions by providing actual time visions, educational tools and designated guidelines specifically designed to meet the needs of each user. For example, assistants dependent on artificial intelligence can explain the complex decentralized financing protocols in a simple language or recommend the ideal investment strategies.

It can be vital tools for inexperienced users because they can adapt to individual use situations.

He added: “By giving priority to the design that focuses on the user and take advantage of artificial intelligence, the ecosystem can attract a broader audience and reduce barriers to entry.”

Artificial intelligence agents can also facilitate the preparation process for new users. If they spread globally, such systems can stimulate their dependence on a large scale, according to Rahmanov.

“The rapprochement between artificial intelligence and blockchain can lead to democracy to reach financial systems, enable individuals with custom tools, enhance financial inclusion worldwide. Economically New markets. Socially, decentralized artificial intelligence systems such as decentralized artificial intelligence (DASI) can enhance justice and reduce the bias in the process of financial decision -making.

Benefiting from security and expansion capacity

Artificial intelligence agents have a completely different and more accurate use condition in Blockchain. They can enhance the security and expansion of the entire Blockchain network, and protect experienced and experienced users from the risks associated with it.

The safety frame ensures that the agent works safely, and protects user data, special keys and implemented transactions.

Crypto Ai agents include comprehensive security measures, including encryption and multi -layer authentication, to ensure the safety and privacy of user data.

“On the security front, they can discover threats and reduce them in the actual time by analyzing patterns and identifying abnormal cases, which reduces weaknesses in front of breakthroughs and fraud.”

The Blockchain integration layer connects the agent to Blockchain networks, which enables it to interact with smart contracts, portfolios and decentralized applications. It connects the agent with Blockchain, ensuring the agent’s ability to work through multiple environmental systems.

The Blockchain integration layer allows the agent smoothly across many block chains. This layer works as a bridge that connects the agent with these networks and facilitates the possibility of inter -operation.

He added: “For the sake of expansion, artificial intelligence agents can improve resource customization, improve consensus mechanisms, and simplify data validity.”

However, there are also security risks associated with the integration of artificial intelligence agent. Due to their independent nature, coded artificial intelligence agents are vulnerable to electronic attacks.

Possible weaknesses include smart contracts, concessions in private keys, and the possibility of manipulating the market.

Therefore, the presence of a strong security framework is necessary.

Blockchain network, which is delayed and increased transactions, can hinder the performance of encrypted artificial intelligence agents. This problem is common in blocks chains like Ethereum during higher activity periods.

Merging the coded artificial intelligence agents across different blocks may be difficult as well. This is due to the difference in protocols and decentralized infrastructure for each network.

Other challenges associated with artificial intelligence agents

The benefits and capabilities of artificial intelligence agents are clear. However, technology is still in its early stages, and there are more restrictions that must be taken into account.

While the independent capabilities of artificial intelligence customers provide great advantages in terms of efficiency and response, they also raise important questions regarding accountability and risk management.

“These developments also pose risks, including displacing functions and moral concerns about data privacy,” Rahmanov told Beincrypto.

Independent artificial intelligence agents can sometimes lead to unintended consequences, such as market instability. Determination of responsibility and the creation of accountability mechanisms in such situations may be difficult.

“Since these robots have become more common, they may make the market more volatile because they interact instantly with price changes.” To ensure that everyone benefits, we will need to balance the adoption of innovation and the placement of deliberate regulations. “

The performance of artificial intelligence agents is highly dependent on data quality in actual time. Challenges such as inaccuracy can affect the data provided by Oracles Blockchain and potential smart contracts significantly on their decision -making abilities.

“Decentralization helps to alleviate some risks by removing individual failure points, but strong governance, transparency and moral design of artificial intelligence are necessary to reduce unintended consequences,” Rahmanov said.

Moreover, the constantly changing international regulations surrounding Blockchain and artificial intelligence are great challenges to the development and publication of encrypted artificial intelligence agents.

This context raises important questions regarding legal and organizational compliance with artificial intelligence agents, especially those who participate in financial operations such as trading and decentralized financing interactions.

“Continuous cooperation between stakeholders, including organizers, technologists and societies, will be very important to ensure fair benefits for everyone.”

Because these clients constitute only the top of the iceberg in the field of artificial intelligence, addressing these challenges early will be extremely important to effective and responsible development of these emerging technologies.