The beginning of the new decade in 2021 marked significant strides in the development of Artificial Intelligence (AI) and its mainstream adoption. From the launch of OpenAI’s ChatGPT to the recent emergence of the Chinese startup DeepSeek, AI and its potential applications are experiencing mainstream adoption at an unprecedented scale. The successful use cases of AI in Web2 have now made their way into Web3, driven by the accelerating integration of AI and crypto.
Focusing on what many analysts have called a ‘match made in heaven,’ the core of the integration between AI and crypto lies in the consumer-centric development of AI agents.
A trend that gained traction around 2021-23 with the coming up of projects like SUI agents and Virtuals Protocol, is now booming and transforming the way crypto works. Embedding AI into decentralized applications, these projects began offering frameworks for creating and deploying AI agents that could operate within decentralized environments. It also coincided with the rapid growth of DeFi, NFTs, and AI-powered blockchain applications.
In this exclusive opinion exchange with CoinGape, COO Tracy Jin of MEXC – a leading global exchange – highlights and shares her views on how AI agents are transforming the crypto landscape with wonderful use cases.
Recently, the large language model DeepSeek, developed by a Chinese startup, has caused a global stir in the AI space. With its remarkably low training costs, it delivers performance on par with top models like GPT-4. This underscores the potential of open-source, cost-effective AI technologies to drive innovation and unlock significant opportunities. The rapid development of AI technologies is reshaping the crypto space across the board, from identifying investment opportunities to enhancing trading security, and is accelerating the integration of AI solutions into various sectors,” says Tracy Jin.
Use Cases of AI Agents in Web3
Leveraging the potential of Blockchain technology, AI agents are working towards making trading, security, and blockchain interactions more intelligent, efficient, and automated.
As the autonomous software having more independent interface in comparison to normal chatbots, AI agents can significantly reduce the workload of crypto users and investors. In fact, among the top ten crypto predictions for 2025 by the prominent global investment management firm, VanEck, one of the predictions says that 2025 will be the year of AI agents.
New AI-powered platforms like Blum, Numerai, Fetch.ai are leveraging AI for autonomous crypto trading. Another such Project, Numerai, is using AI models to make hedge fund trading decisions based on encrypted data, highlighting the growing diversified usecases of AI Agents.
COO Tracy Jin while shedding light on the applications of AI Agents says, “AI agents can analyze real-time market data to identify trends, optimize and execute trading strategies, and predict cryptocurrency price movements. These systems can also monitor blockchain transactions to detect and prevent unusual activities, enhancing overall network security and safeguarding investors’ assets.”
With only a month into 2025, we are witnessing a great number of such emerging projects, such as Mirai Labs-founded Partnr, ai.pump launching its virtual AI assistant, and the immense support AI agent developers are set to receive with the launch of Near Foundation by Near Protocol. Perhaps, the VanEck prediction is set to become reality too soon.
Further, COO Tracy Jin highlights, “AI agents can simplify wallet management, approve transactions, and interact with smart contracts, making blockchain easier to use. Furthermore, AI agents can serve as KOLs, interacting with global audiences 24/7 and providing insights based on verified data.”
How traditional CEXs are integrating AI agents into their ecosystem?
Major cryptocurrency exchanges like Binance, Kraken, and MEXC have been actively integrating AI to enhance security through advanced fraud detection, risk assessment, and automated compliance checks. Additionally, AI-driven features such as smart trading assistants and personalized user interfaces are simplifying the trading experience for users.
The BNB Chain, Binance’s blockchain platform, introduced the Eliza framework plugin to facilitate AI integration, enabling automated asset management, social interactions, and autonomous trading, It provides users with advanced tools to manage their investments effectively. In a step towards Automated Trading Solutions, Kraken also supports AI-driven trading bots that analyze market data, identify patterns, and adapt in real-time.
On the question of how MEXC is integrating AI Agents, COO Tracy Jin answered, “MEXC is actively integrating AI agents into its ecosystem through a multifaceted approach centered around early adoption, project development, and user engagement. Recognizing the transformative power of AI, MEXC has proactively established AI-related ecosystems, listing numerous projects such as SWARMS, WLD, Fartcoin, FET, and TAO. These initiatives signify MEXC’s commitment to embedding AI deeply within its platform and services.”
“Furthermore, MEXC hosted the AI Alpha Championship, providing users with an innovative platform to explore high-potential AI tokens. This initiative capitalizes on emerging market trends and encourages user participation in AI-related investments, underscoring MEXC’s dedication to supporting AI innovation.”
MEXC’s Swarms project aims to provide a comprehensive multi-agent Large Language Model (LLM) framework, enabling developers to automate business operations efficiently. It offers a variety of swarm architectures, seamless third-party integrations, and user-friendly tools to orchestrate intelligent, scalable agent ecosystems for automating complex business processes.
To be resolved Challenges
Amid the excitement surrounding the ongoing development of Crypto*AI, there are certain considerations and challenges to keep in mind. As AI agents evolve from their original application, which was primarily associated with AI-adjacent memecoins, pioneered by the development of the Terminal of Truths, to now include a growing range of diversified use cases, several challenges have emerged that are left to be resolved.
“Despite the advancements in AI Agent development, several challenges remain unresolved. One key issue is monitoring privacy and data accuracy. Ensuring that user data is protected while maintaining the accuracy of AI models is a complex task that requires ongoing attention and improvement. Additionally, there’s the challenge of truly understanding the deeper needs of users,” notes COO Jin.
Offering solutions, she says, “AI agents must be capable of interpreting nuanced user requirements to effectively assist in tasks such as execution, conducting transactions, and managing risks. These hurdles highlight the need for continued research and innovation to fully harness the potential of AI in these areas.”
According to a 2024-published Binance Research Report on the subject of ‘Exploring the Future of AI Agents in Crypto’, majority of L1s were not built with the thought of millions of AI agents conducting multi-step transactions every hour, thus posing serious scalability challenges. The report further highlighted that AI LLMs come with certain hallucinations where they respond with confidence to the queries of users but can include incorrect assumptions, biases in the training data, insufficient training data, processing errors, lack of real world understanding, etc.
Highlighting her positive outlook for resolving challenges associated with AI agents, Tracy Jinn says, “As AI continues to evolve, its application within the cryptocurrency and blockchain spaces presents immense possibilities. From improving transaction efficiency and security, AI can significantly bolster the scalability and effectiveness of crypto technologies. We are excited to offer broader access to a wide range of promising AI projects and investment opportunities, helping to foster the next generation of cutting-edge solutions.”
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