ChainGPT Founder Expects AI Agent Adoption to Transform Crypto | Airdrop Alert Pro

Industry experts expect that AI agents will benefit the cryptocurrency market and blockchain ecosystem. These autonomous systems can improve investment strategies and execute trades more efficiently while detecting and mitigating threats.

Beincrypto spoke with Chainpt founder Ilan Rakhmanov about how AI agents will have the greatest impact on the risks required for the secure deployment of these emerging technologies.

this The AI ​​agent market is soaring

AI agents represent a fundamental shift In the development of blockchain technology and cryptocurrency markets. These autonomous systems make decisions and perform tasks independently.

They can enhance the intelligence, adaptability and fairness of financial mechanisms. Unlike AI robots, AI agents adapt to tasks and handle multi-step processes with targeted autonomy.

“We believe that in 2025, we may see the first AI agents “join the workforce” and materially transform company output. We continue to believe that iteratively putting great tools into people’s hands will Leading to great, widely distributed results,” Write Openai CEO Sam Altman in a blog post earlier this month.

In recent reports, asset managers Franklin Templeton also highlights the advantages associated with AI agents.

“We can envision a future where agencies have revolutionized content generation on social media and play an integral role across industries and platforms. Like human influencers today, these agencies can launch their own brands , products, music, movies, etc., thus driving huge economic value to its ecosystem.”

According to Coingecko, AI agents took off as a marketplace category shortly after the launch of Truth Terminal’s GOAT token Solana Last October. Currently, the market cap of AI proxy tokens exceeds $12 billion.

This is significant growth considering the fact that this didn’t exist a year ago.

Currently, there are over 150 crypto tokens listed for AI agents on CoinMarketCap. This number represents the proliferation of projects related to AI agents and their promise for the future of the industry.

AIXBT, AI16Z, Virtuals Protocol and Zerebro are Among other notable examples. AI platform likes CAINGPT,,,, fromand Midjourney It is also driving innovation in the industry.

Given this dynamic growth, it is safe to say that AI agents will continue to drive dynamic changes in AI and crypto-related industries as adoption accelerates.

Changes in the way crypto markets function

Last year saw these autonomous systems primarily used to create content and social media engagement to generate attention, but AI agents engaged in cryptocurrency trading Could be the defining trend of 2025.

Although AI agents share some features with AI trading robots, they represent a more advanced level of technology.

For example, the defining characteristic of cryptographic AI agents is their inherent autonomy. This characteristic enables them to function independently. AI agents can continuously monitor market conditions and perform actions based on predefined parameters without constant user intervention.

This level of autonomy distinguishes crypto AI agents from traditional trading bots. Therefore, they can effectively act as self-reliant assistants in managing cryptocurrency portfolios and executing trading strategies.

“AI-powered trading bots are changing the way crypto markets function. They deliver fast, precise and data-driven decisions. They can analyze market trends, execute trades and manage portfolios more efficiently than humans, while also helping to reduce emotional decision-making .” Rakhmanov told Beincrypto.

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

this machine learning The capability enables automated trading systems to operate continuously, identifying and capitalizing on trading opportunities that may not be apparent to human traders due to time and attention span constraints.

Furthermore, the capabilities of AI agents spill over to other areas of the cryptocurrency ecosystem, such as defi protocol.

Simplify DEFI protocol

The ability of AI agents to perform tasks at rapid speeds makes them critical tools Decentralized Finance (DEFI) department.

“AI has become a household name and its impact has now reached the decentralized finance (DEFI) world. By automating and optimizing processes, AI makes Defi smarter and more efficient,” said Rakhmanov.

Crypto AI agents operate according to a three-step process: data collection, data analysis and automated execution. In the first step, the AI ​​agent collects a large amount of data from various sources, including market trends, blockchain transactions and DEFI statistics.

This data is then analyzed using advanced machine learning algorithms and predictive analytics techniques to identify patterns and determine the best course of action.

Finally, based on this analysis, the AI ​​agent autonomously performs determined actions, such as placing transactions, moving funds between wallets or triggering the execution of smart contracts.

“AI can improve risk assessment in lending scenarios by more accurately assessing borrowers, leading to better decision-making. It can also make liquidity pools smarter by predicting user behavior and market trends, reducing waste and inefficiencies . Additionally, AI can enable smart contracts to automatically adapt to real-world changes without human input,” Rakhmanov added.

By doing so, these AI agents greatly facilitate Defi interactions.

“These innovations make Defi systems not only more efficient, but also more accessible and user-friendly, paving the way for wider adoption by people from all walks of life.”

In addition to its appeal to institutional investors or professional traders Web3 technology Generally speaking.

AI agents increase accessibility for users

Autonomous agents can make industries more accessible by fundamentally breaking down complex mechanisms and automating their execution.

“AI agents can streamline interactions by providing real-time insights, educational tools, and personalized guidance tailored to each user’s needs. For example, AI-powered assistants can explain complex DEFI protocol Use simple language or recommend the best investment strategy.

They can be an important tool for less experienced users because they can be adapted to individual use cases.

He added: “By prioritizing user-centered design and leveraging AI, the cryptocurrency ecosystem can attract a wider audience and lower barriers to entry.”

AI agents can also make the onboarding process easy for new users. If they were to spread globally, such systems could inspire widespread adoption, Rakhmanov said.

“The convergence of artificial intelligence and blockchain can enable access to the financial system, empower individuals with tailor-made tools, and enhance financial inclusion globally. Economically, AI-driven automation can reduce efficiencies lower transaction costs and unlock new markets in society, decentralized AI systems such as Decentralized Artificial Super Intelligence (DASI) can promote fairness and reduce bias in financial decision-making.”

use Safety and scalability

AI agents have completely different and more nuanced use cases when it comes to blockchain security. They can improve overall security and scalability Blockchain networkprotecting both experienced and inexperienced users from associated risks.

The security framework ensures that agents operate securely, protecting user data, private keys and executing transactions.

Crypto AI agents incorporate thorough security measures, including encryption and multi-layer authentication, to ensure the security and privacy of user data.

“On the security side, they can detect and mitigate threats in real time by analyzing patterns and identifying anomalies, reducing vulnerability to hackers and fraud,” Rakhmanov explained.

The blockchain integration layer connects the agent to the blockchain network, enabling it to interact with smart contracts, wallets, and DAPPs. It bridges brokers and blockchains to ensure brokers can operate on multiple ecosystems.

The blockchain points layer enables agents to operate seamlessly on multiple blockchains. This layer acts as a bridge connecting agents to these networks and facilitates interoperability.

“For scalability, AI agents can optimize resource allocation, improve consensus mechanisms and simplify the data verification process,” he added.

However, there are also security risks associated with AI agent integration. Given their autonomy, cryptographic AI agents are vulnerable to cyberattacks.

Potential vulnerabilities include smart contract exploitation, private key compromise, and the possibility of market manipulation.

therefore, Strong security framework is essential.

Blockchain network congestion is characterized by increased latency and transaction fees that may hinder the performance of crypto AI agents. This issue is common on blockchains like Ethereum during periods of high activity.

Integrating cryptographic AI agents across different blockchains can also be challenging. This is due to the different protocols and fragmented infrastructure of each network.

Other related challenges for AI agents

The benefits and potential of AI agents are clear. However, the technology is in its early stages and there are further limitations to consider.

While the autonomous capabilities of AI agents offer significant advantages in terms of efficiency and responsiveness, they also raise important questions about accountability and risk management.

“These advances also bring risks, including job displacement and ethical issues regarding data privacy,” Rakhmanov told Beincrypto.

The actions of autonomous AI agents can sometimes lead to unintended consequences, such as market instability. Determining responsibility and establishing accountability mechanisms in this situation can be challenging.

“As these robots become more common, they could make markets more volatile as they react immediately to price changes. To ensure everyone’s benefit, we need to balance embracing innovation with thoughtful regulations Strike a balance,” he added.

The performance of AI agents is highly dependent on the quality of real-time data. Challenges such as inaccuracies in data provided by blockchain carapace and potential Errors in smart contracts can significantly impact their decision-making abilities.

“Decentralization helps mitigate single points of failure, but strong governance, transparency and ethical AI design are critical to minimizing unintended consequences,” Rakhmanov said.

Additionally, changing international regulations surrounding blockchain and AI present significant challenges in developing and deploying cryptographic AI agents.

This situation raises important questions about the legal and regulatory compliance of AI agents, especially those engaged in financial operations such as trading and Fafi interactions.

“Active collaboration between stakeholders, including regulators, technologists and the community, is critical to ensuring equitable benefits for all.”

Given that these agents are just the tip of the AI ​​iceberg, addressing these challenges early is critical for the effective and responsible development of these emerging technologies.