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The Future of Digital Self Management: AI agents in Crypto



Opinion by: Tomer Warschauer Nuni, Chief Marketing Officer of Kima Network

No one should be surprised that the crypto space is actively discussing the new wave of enthusiasm around AI and its eternal uses. According to proponents, AI represents the most promising approach to enhancing blockchain technologies and decentralized application, which drives more autonomy and efficiency throughout the ecosystem.

The use of AI agents in crypto trading and interoperability between traditional finances (Tradfi) and decentralized finances (DEFI) is relatively fruitful. They also help improve the user’s experience within the ecosystem and play a key role in enhancing the scalability of blockchain networks as they grow.

In December 2024, Vaneck reported that AI agents were numbered 10,000 and they expected to reach 1 million in 2025. This expected growth shows how it seems inevitable that the future is for believers and those who doubt.

The current state of AI agents in the digital world

It is easy to see why everyone is excited to integrate AI agents into almost every digital process. They enhance some processes that have no or less effort from people.

However, the current challenges, including the ethical concerns The Vatican met, do not allow their full adoption. Crypto investors also felt the heat after the release of Deepseek, which led to a massive market loss. This risk review can be used to discuss the needs of AI agents in the crypto industry.

The capitalization of the market of Ai agents In Crypto Rose 322% in the fourth quarter of 2024, from $ 4.8 billion to $ 15.5 billion, indicating that more people in the crypto community receive AI. The phenomenon of full autonomy of the systems is not far away if we look at the benefits.

The abilities of AI’s trading, assessment and management of risk are widely reported better than people. Every decision made in the market is quickly made and strongly supported as much data as possible, reducing human mistakes that can cause losses.

There are some good indication of this potential. Edwin is a project aimed at combining AI and decentralized finances, which enables the easy integration of AI agents built on top of frameworks such as Langchain and Elizaos to work on defi platforms, including Aave and Uniswap. It makes it a single interface and safely performs blockchain operations, eliminating the need to figure out different protocol integration.

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It allows for a financial automation utopia, or “Defai“Where AI agents can control their financial and government destiny and control their ownership in a extremely complex, dynamic environment.

For example, Eliza offers a stable multi-aging simulation environment to develop, deploy and manage many autonomous AI agents. It is a versatile platform that allows these agents to move between different systems while maintaining their identity and knowledge towards fully active and self-directed in the Kingdom of Crypto.

Ai agents All Tradfi and Defi operates can be combined without issues. They can cut mediators into international transactions, improving the speed of handling of crypto and fiat financial transactions. They can also enable liquidity providers to manage their stablecoin yields that are fully automatically and will maximize their yields according to the current demand in all blockchains. These integrations are an indication of endless possibilities in cross-border payment transactions.

In a September 2024 report, the Global Digital Visionaries Council predicted That by 2025, 20% of all financial transactions will be crosschain due to the integration of the tradfi and defi systems.

Projects such as Virtuals Protocol are still going through the enabling users to create, owner and deploy autonomous AI agents. Although the preliminary application of the Virtual protocol is the creation of AI-driven avatars, the protocol offers resources that can be used for autonomous crypto trading, which shows AI’s flexibility in blockchain ecosystems.

Autonomous market and personalization also improves the help of AI. The first AI agents index of crypto, cookie.fun-developed by Cookie Dao-provides real-time review of the performance of agents, mindshare and contact with the entire blockchain and social media. The platform lists their market caps and “smart compliance” to monitor market trends and provide important information that investors and projects can use to make better decisions and identify leading ecosystem agents.

Alphaneural provides a decentralized environment for training, market sharing and effectiveness of AI models and agents. It also has a market for AI property and a GPU integration network that provides for creators to pokenize their work and secure and measure the implementation of AI solutions. In this way, the current opportunities for developing advanced AI tools are open to everyone, connecting AI developers with a crypto ecosystem.

The Crypto Analyst community is confident that AI technology can improve most blockchain performance metrics. The crypto ecosystem also experiences the user’s rapid growth, which means that the level of personalization in customer relationships is also increasing due to the use of AI agents.

The point of doubt

However, many still have different opinions about promoting digital crypto autonomy through AI agents.

A significant concern that has been raised in a case study Na -Published Through the Wharton School of the University of Pennsylvania is the potential impact on the stock market from the rising risk of market manipulation. In theory, the collapse between AI -powered trade algorithms can lead to priceless prices that can weaken the efficiency of financial markets. In such cases, bots may manipulate prices up or down or cause a price or crashing, which eliminates market credibility.

Many people have expressed concerns for relying on AI agents to make decisions because it is susceptible to hacking. Poor program agents may not prevent certain types of cyberattacks, resulting in the loss of capital.

Without a violent solution to such threats, risks, and legal and ethical issues, those who doubt will always have a valid argument against the integration of AI agents in this area.

AI-Driven Autonomy

Cryptocurrencies and their supporters have been slow to warm up to AI agents, but really, they should have given them how benefit them in so many places. These integrations are likely to improve trading, help onboarding from Tradfi to Defi, and offer other features. Utopia of fully autonomous AI control crypto experts described is just around the way.

Incorporating artificial intelligence and blockchain technology opens the door to endless possibilities and can put a path to a new digital time for humanity and its bots.

Opinion by: Tomer Warschauer Nuni, Chief Marketing Officer of the Kima Network.

This article is for general information purposes and is not intended to be and should not be done as legal or investment advice. The views, attitudes, and opinions expressed here are unique and do not necessarily reflect or represent the views and opinions of the cointelegraph.