Author: CRYPTO currency circle is not defended

Summary of the fourth issue of Space in the Unguarded Cryptocurrency Circle: How long will the AI Agent track remain popular?

Hosted by Web3 Chinese host Qie Ge, the fourth episode of "Unguarded Cryptocurrency Circle" focused on "How long will the AI Agent track remain popular?" This episode has a strong lineup of guests, including Yu Jianing, president of Uweb, Mr. Z, founder of Trading Base AI, Builder LogEarn, blockchain enthusiast flyawei, investment research blogger Qingfeng #BTC, and community leader Xiaozhi. The following is a summary of the core points of the discussion:

Current status of AI Agent applications: a precursor to a bubble or a prelude to an ecological explosion?

At present, the application of AI Agent in the field of encryption is still concentrated in limited scenarios such as DeFi automation strategies. Although the track experienced a round of concept hype last year, most projects fell into a downturn due to immature technology or insufficient implementation capabilities. The guests unanimously agreed that this phenomenon is both a necessary stage in the early market and a sign of future potential.

Yu Jianing pointed out that last year's craze was more of a "concept-first" trend, but the role of AI Agent as a future economic entity has gradually become clear. He compared the development path of smart contracts and believed that financial scenarios are naturally suitable for the implementation of AI Agent, but in the long run, it needs to break through the limitations of a single field and expand to a wider ecosystem.

Mr. Z emphasized that AI Agent is still in its infancy and needs to go through technical accumulation and market verification. He used the early development of Bitcoin as an example to remind the industry to be patient: "If we only talk about concepts without applications, the enthusiasm will eventually subside; but if we can solve actual needs, the track will usher in a real explosion."

LogEarn analyzed from a technical perspective that the current AI Agent platforms mostly rely on large model interfaces and lack underlying innovation, resulting in functional homogeneity. He called on the industry to focus on the underlying infrastructure, such as improving on-chain data processing capabilities to pave the way for complex application scenarios.

AI and blockchain convergence: catalyzing innovation opportunities in the crypto industry

The combination of AI and blockchain is seen as the core driving force of the next generation of the Internet (Web3). Guests discussed from the perspectives of technological complementarity and economic model innovation.

Yu Jianing proposed that the popularization of AI Agent will promote the rise of the "smart economy". He explained: "Collaboration and transactions between AIs need to rely on programmable encrypted assets, which creates a rigid demand for digital currency." For example, scenarios such as AI managing on-chain assets and automatically executing contracts will reconstruct the trust mechanism of traditional finance.

LogEarn further envisions that AI can play a key role in the “arteries” of on-chain transactions:

  • Automated market making: Optimize liquidity strategies through AI to reduce the risk of human manipulation;
  • Security audit: Real-time monitoring of smart contract vulnerabilities and abnormal transactions to improve ecological security;
  • Data governance: Provide transparent asset management tools for project parties to enhance community trust.

He predicted: “When AI deeply empowers on-chain infrastructure, the efficiency and fairness of decentralized finance will far exceed the traditional system.”

How does AI improve the security of the encryption industry?

Security is an eternal issue in the encryption industry, and the potential of AI in risk control, anti-fraud and other fields has become the focus.

Qingfeng shared his practical experience and pointed out that current AI tools can assist in detecting phishing links and malicious contract authorizations, but they need to be combined with local deployment to reduce the risk of data leakage. He used the example of "open source policy code is prone to abuse" to emphasize that AI needs to be combined with privacy computing technology.

Flyawei added that AI has advantages in identifying malicious patterns on the chain (such as Pixiu trading and pull traps), but it needs to rely on high-quality data training. He suggested that users use a combination of "cold wallet + AI monitoring" to reduce interaction risks.

Xiaozhi proposed from the community perspective that AI-driven security tools (such as automated permission management and real-time alert systems) can lower the threshold for novice users and promote the popularization of encryption.

The role of AI in crypto market predictions: subversion or assistance?

Can AI replace human traders? The consensus among the guests is that AI is an auxiliary tool in the short term, but may reshape decision-making logic in the long term.

Mr. Z admitted that the current success rate of AI trading strategies depends on historical data training and cannot completely replace human experience. He took his own team's research and development as an example: "The value of AI lies in systematizing trading logic and helping users avoid repeated mistakes, rather than blindly pursuing excess returns."

Yu Jianing believes that AI has great potential in personalized asset allocation. He envisions: "In the future, every user will have an exclusive AI investment advisor who can analyze positions in real time, track market hot spots, and even automatically adjust positions." But he also reminded that the crypto market factors are complex and AI needs stronger cross-chain data integration capabilities.

LogEarn concluded that the real breakthrough of AI lies in "discovering patterns that humans ignore." For example, through on-chain whale behavior analysis and sentiment indicator modeling, AI may be able to warn of market fluctuations in advance and become the "second brain" of investors.

Future Outlook: No AI, No Encryption?

At the end of the discussion, the guests looked forward to the future of the AI Agent track in one sentence:

  • Yu Jianing: "2025 will be a critical year for the implementation of AI Agent. We need to pay attention to projects that meet rigid demand and be wary of pure concept speculation."
  • Mr. Z: “It will take time for AI and trading to combine, but those who persevere will eventually reap the benefits of time compounding.”
  • LogEarn: "The future of the crypto world will be dominated by AI. Without AI, there will be no innovation."
  • Qingfeng: "Ordinary people should actively embrace AI tools to avoid being eliminated by the technological wave."
  • Xiaozhi: "AI+KOL=retail investors' nuclear weapon, but don't let the code do all the work for you!"

Summary by host Brother Qie

“The future of the AI Agent track is not whether it can be popular, but how long it will be popular. The bubble will eventually burst, but those who have accumulated technology will survive the cycle. The crypto industry is never afraid of controversy, but it is afraid of losing the courage to explore. Remember: without AI, there is no future; without implementation, there is no value.”

Column introduction: The cryptocurrency world is not guarded

"Coin Circle Unguarded" is an in-depth dialogue column focusing on Web3 and encryption, hosted by Web3 Chinese host Brother Qie. Each issue invites industry leaders, project owners, KOLs and community representatives to dismantle hot tracks, analyze market trends, and challenge consensus cognition in a sharp "unguarded" style. The column's purpose: to eliminate the false and retain the true, and let value return to logic.

  • Features: Refuse to shout orders, only talk about the truth;
  • Goal: To provide practitioners with cognitive ammunition and to light a beacon for investors to avoid pitfalls.