The future of digital self-governance: AI agents in crypto
Opinion by: Tomer Warschauer Nuni, Marketing Director of Kima Network
No one should be surprised that cryptographic space actively discusses the new wave of enthusiasm around AI and its unlimited uses. According to supporters, AI represents the most promising approach to improving blockchain technologies and decentralized applications, resulting in greater autonomy and efficiency through ecosystem.
The use of AI agents in crypto trade and interoperability between traditional finance (tradfi) and decentralized finance (DEFI) was quite fruitful. They also help to improve the experience of users within the ecosystem and play a key role in improving the scalability of blockchain networks as they develop.
In December 2024, Vaneck reported that AI agents already had 10,000 and that they had to reach 1 million in 2025. This projected growth shows how inevitable this future is for believers and skeptics.
The current state of AI agents in the digital world
It is easy to see why everyone is delighted to integrate AI agents into almost all digital processes. They improve several efforts without efforts of humans.
Current challenges, however, including the ethical concerns identified by the Vatican, do not allow their complete adoption. Crypto investors also felt the heat after the release of Deepseek, which led to a massive loss of the market. This risk -rewarding analysis can be used to discuss the need for AI agents in the cryptographic industry.
The market capitalization of AI agents in crypto increased by 322% in the fourth quarter of 2024, from $ 4.8 billion to $ 15.5 billion, which indicates that more people in the cryptographic community accept AI. The phenomenon of absolute autonomy of systems is not so far if we look at the advantages.
Trading, analysis and risk management capacities of AI agents are much better reported than those of humans. Each decision taken on the market is taken quickly and is strongly supported by as much data as possible, reducing human errors that can cause losses.
There are good indications of this potential. Edwin is a project that aims to combine AI and decentralized finance, allowing the easy integration of AI agents built on executives like Langchain and Elizaos to work with DEFI platforms, including Aave and Uniswap. This facilitates the creation of a single interface and the realization of a blockchain operation in complete safety, removing the need to learn different protocol integrations.
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This allows a utopia of financial automation, or “defai”, where AI agents can control their financial destiny and manage and control their assets in a very complex and dynamic environment.
For example, Elizaos offers a robust multi-agent simulation environment to develop, deploy and manage many autonomous AI agents. It is a versatile platform that allows these agents to move between various systems while preserving their identity and their knowledge towards fully active and self-driven entities in the field of cryptography.
AI agents can combine all tradfi and deffi functions without problem. They can delete intermediaries in international transactions, improving the speed of management of cryptographic and Fiat financial transactions. They can also allow liquidity suppliers to manage their fully automated stablecoin yields and maximize their yields according to current demand in all blockchains. These integrations are an indication of infinite possibilities in cross -border payment transactions.
In a September 2024 report, the Global Digital Visionaries Council predicted that in 2025, 20% of all financial transactions would be interchaines due to the integration of Tradfi and Defi systems.
Projects like the virtual protocol go further by allowing users to create, own and deploy autonomous AI agents. Although the initial application of the virtual protocol is the creation of AI avatars focused on the AI, the protocol offers resources that can be used for autonomous cryptography trading, showing the versatility of AI in blockchain ecosystems.
The market and autonomous personalization also improve with the help of AI. The first index of Crypto AI agents, Cookie.Fun – developed by Cookie Dao – provides real -time analysis of the performance, spirit and commitment of agents between blockchains and social media. The platform lists their stock market capitals and their “smart suites” to follow market trends and provide vital information that investors and projects can use to make better decisions and identify the most efficient agents of the ecosystem.
Alphaneural provides a decentralized environment for training, market share and the efficiency of AI models and agents. It also has a market for AI assets and a GPU aggregation network which allows creators to tokenize their work and to secure and extend the execution of AI solutions. In this way, current opportunities for developing advanced AI tools are open to everyone, which links AI developers to the cryptographic ecosystem.
The Crypto analyst community is convinced that AI technology can improve most of the blockchain performance measures. The cryptographic ecosystem is also experiencing rapid use of users, which means that the level of personalization in customer interactions also increases due to the use of AI agents.
The point of view of the skeptic
However, many still have different opinions concerning the promotion of digital autonomy in crypto through AI agents.
An important concern raised in a case study published by the Wharton School of the University of Pennsylvania is the potential effect on the stock market from the increased risk of market manipulation. In theory, the collusion between the commercial algorithms fueled by the AI could lead to price of ineffectures which could weaken the efficiency of the financial markets. In such cases, bots could handle prices up or down or cause an increase in prices or price plan, eroding market credibility.
Many people have also expressed concerns about understanding AI agents to make decisions because they are prone to hacking. Poorly programmed agents may be unable to withstand certain types of cyber attacks, resulting in a loss of capital.
Without a drastic solution to such threats, risks and legal and ethical problems, skeptics will always have a valid argument against the integration of AI agents in this area.
Autonomy led by AI
Cryptocurrencies and their supporters were slow to warm up for AI agents, but they should really, given their useful in so many areas. These integrations will probably improve trading, will help Tradfi integration into DEFI and offer other features. The utopia of experts in CRYPTO of AI fully autonomous described is fast approaching.
The integration of artificial intelligence and blockchain technology unlocks the door to endless possibilities and can open the way to a new digital era for humanity and its bots.
Opinion of: Tomer Warschauer Nuni, director of marketing at Kima Network.
This article is for general information purposes and is not intended to be and must not be considered as legal or investment advice. The points of view, the thoughts and opinions expressed here are the only of the author and do not reflect or do not necessarily represent the opinions and opinions of Cointellegraph.