Source: Cointelegraph Original: "{title}"
Author: Tomer Warschauer Nuni, Chief Marketing Officer of Kima Network
No one is surprised by the active discussions in the crypto space surrounding the new wave of AI and its limitless applications. Proponents argue that AI represents the most promising way to enhance blockchain technology and decentralized applications (dApps), driving greater autonomy and efficiency within the ecosystem.
The application of AI agents in crypto trading and the interoperability between traditional finance (TradFi) and decentralized finance (DeFi) has achieved significant results. They have also helped improve user experience within the ecosystem and played a crucial role in enhancing scalability during the growth of blockchain networks.
According to a report by VanEck in December 2024, the number of AI agents has reached 10,000 and is expected to reach 1 million by 2025. This anticipated growth suggests that this future seems inevitable for both believers and skeptics.
The Current State of AI Agents in the Digital World
It is easy to understand why everyone is excited about integrating AI agents into almost all digital processes. They can enhance multiple processes with little or no human effort.
However, current challenges, including ethical issues highlighted by the Vatican, limit their full adoption. Crypto investors also felt pressure after the release of DeepSeek, leading to significant market losses. This risk-reward analysis could be used to discuss the necessity of AI agents in the crypto industry.
In the fourth quarter of 2024, the market capitalization of AI agents in the crypto market grew by 322%, from $4.8 billion to $15.5 billion, indicating that more and more members of the crypto community are embracing AI. The phenomenon of fully autonomous systems, if viewed from an advantage perspective, does not seem far off.
The trading, analysis, and risk management capabilities of AI agents are generally considered superior to those of humans. Every decision in the market can be made swiftly, supported by as much data as possible, reducing the potential for human errors that could lead to losses.
There are some signs indicating the existence of this potential. Edwin is a project aimed at combining AI with decentralized finance, enabling AI agents to easily integrate into frameworks like LangChain and ElizaOS, collaborating with DeFi platforms including Aave and Uniswap. This makes it easier to create a single interface and securely execute blockchain operations, eliminating the need to learn different protocol integrations.
This provides an ideal financial automation utopia for "DeFi AI," where AI agents can control their financial destinies, managing and controlling assets in a highly complex and dynamic environment.
For example, ElizaOS offers a powerful multi-agent simulation environment for developing, deploying, and managing multiple autonomous AI agents. It is a versatile platform that allows these agents to flow between different systems while maintaining their identities and knowledge, evolving towards fully active and self-directed entities in the crypto space.
AI agents can seamlessly combine all functionalities of traditional finance and decentralized finance. They can eliminate intermediaries in international transactions, speeding up the processing of cryptocurrency and fiat financial transactions. They can also enable liquidity providers to fully automate the management of their stablecoin yields and maximize returns based on current demand, covering all blockchains. These integrations mark the emergence of limitless possibilities in cross-border payment transactions.
In a report from September 2024, the Global Digital Vision Council predicted that by 2025, 20% of all financial transactions will be cross-chain transactions due to the integration of traditional finance and decentralized finance systems.
Projects like Virtuals Protocol go a step further, allowing users to create, own, and deploy autonomous AI agents. Although the initial application of Virtuals Protocol is to create AI-driven virtual personas, the resources provided by the protocol can also be used for autonomous crypto trading, showcasing the versatility of AI within the blockchain ecosystem.
The autonomous market and personalization have also improved with the help of AI. The first AI agent index for cryptocurrencies, Cookie.fun—developed by Cookie DAO—provides real-time analysis of agent performance, influence, and interactions across blockchains and social media. The platform lists their market capitalizations and "smart tracking" to monitor market trends, providing key information that investors and projects can use to make better decisions and identify the best-performing agents in the ecosystem.
AlphaNeural offers a decentralized environment for training AI models and agents, market share, and effectiveness. It also features an AI asset marketplace and a GPU aggregation network, allowing creators to tokenize their works and ensure and expand the execution of AI solutions. In this way, the opportunity to develop advanced AI tools is open to everyone, connecting AI developers with the crypto ecosystem.
The crypto analyst community is confident that AI technology can improve most blockchain performance metrics. The crypto ecosystem is also rapidly growing, which means that the level of personalization in customer interactions is increasing due to the use of AI agents.
Skeptics' Views
However, many still hold differing opinions on the promotion of digital autonomy in crypto through AI agents.
A case study report published by the Wharton School of the University of Pennsylvania raised a significant concern about the potential impact of increased market manipulation risks on the stock market. Theoretically, collusion between AI-driven trading algorithms could lead to price inefficiencies, undermining the efficiency of financial markets. In such cases, bots could manipulate prices to rise or fall, or cause prices to spike or plummet, thereby undermining market credibility.
Many are also concerned about relying on AI agents for decision-making, as they are susceptible to hacking. Poorly programmed agents may not withstand certain types of cyberattacks, leading to capital losses.
Without a comprehensive solution to address these threats, risks, and legal and ethical issues, skeptics will always have valid reasons to oppose the integration of AI agents in this field.
AI-Driven Autonomy
The acceptance of AI agents in cryptocurrency and among its supporters has been relatively slow, but given their immense practicality in many areas, they should really embrace them more. These integrations have the potential to improve trading, assist in the transition from traditional finance to decentralized finance, and provide other functionalities. The utopia of fully autonomous AI controlling cryptocurrencies, as described by experts, is on the horizon.
The combination of artificial intelligence and blockchain technology opens the door to endless possibilities, perhaps paving the way for humanity and its robots into a new digital era.
Author: Tomer Warschauer Nuni, Chief Marketing Officer of Kima Network
This article is for general informational purposes only and should not be considered legal or investment advice. The views, thoughts, and opinions expressed in this article are solely those of the author and do not necessarily reflect or represent the views and opinions of Cointelegraph.
Related: AI Faces a Trust Crisis; Decentralized Privacy Protection Technologies Can Solve This Issue
免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。
