Gate’s founder and CEO, Dr. Han, supports a human-led approach to cryptocurrency trading, as millions of digital assets and tens of thousands of decentralized applications make it difficult for users to navigate Web3.
summary
- Dr Han, CEO of Gate, says AI will support traders without replacing human judgement.
- Gate integrates AI tools to simplify trading and reduce barriers to entry into Web3.
- US scrutiny of Chinese artificial intelligence models may complicate the process of adopting this technology globally.
In a recent episode of the Gatecast podcast, Dr. Hahn argued that AI can help traders gather information, study market signals, and make decisions without removing the need for human judgment.
According to Gate’s CEO, the combination of AI tools and human intelligence can offer a more effective model for trading than relying entirely on automated systems. He noted that artificial intelligence can process large amounts of market information quickly, but traders still must evaluate that information before acting.
Dr. Han said that “AI + human intelligence” will become a more effective approach in the future.
His comments place artificial intelligence in a supporting role at a time when exchanges and traders use automated tools to scan prices, track market activity and filter information. Rather than offering the technology as an alternative to users, Dr. Han described it as a way to reduce the effort required to find and understand cryptocurrency products.
The Gatecast discussion also covered the difficulty of getting into Web3 when users have to choose from millions of tokens and tens of thousands of decentralized applications. Dr. Hahn identified these choices, along with the learning required to use decentralized products, as barriers that keep potential users out of the sector.
According to his assessment, AI can become a gateway between users and the Web3 ecosystem by helping them identify relevant services and understand how these products work. Smart interfaces can also reduce the time users spend searching for separate protocols, assets and trading tools, according to Dr. Han.
Artificial intelligence tools will support trader decisions
Gate is already developing several products under what the exchange calls the Intelligent Web3 strategy. Dr. Hahn identified Gate AI, GateClaw, and Gate for AI Agent as parts of a product system designed to integrate AI into a company’s business ecosystem.
Through these services, Gate uses artificial intelligence to simplify product interactions and reduce the amount of knowledge required before users can start exploring Web3, according to the CEO. Dr. Han added that the exchange plans to continue developing smart products that facilitate access to decentralized services.
His position differs from expectations that increasingly capable models may eventually take people out of financial decision-making. While Dr. Hahn credited AI with improving research and signal analysis, he emphasized that the technology cannot fully reproduce the judgments that traders apply when interpreting market conditions.
Earlier this week, Binance founder Changpeng Zhao also separated the economic role of AI from that of Bitcoin. In Post X, Czechoslovakia Argue Artificial intelligence is capable of increasing productivity, improving business efficiency, and supporting technological development, while Bitcoin offers rare assets that cannot be expanded beyond the maximum of 21 million currencies.
This comparison came on the heels of predictions by Jamie Dimon, CEO of JP Morgan, that the investment cycle in artificial intelligence could attract… $725 billion this year. According to CZ, companies developing AI products can issue more shares or raise capital to fund expansion, which could dilute existing investors, while no company or government can increase the programmatic supply of Bitcoin.
CZ also rejected the idea that rapid advances in artificial intelligence give investors the same protection that bitcoin might provide when fiat currencies lose purchasing power. His comments focused on the difference between investing in productivity-driven companies and holding assets designed around fixed supply.
Political pressure may complicate the adoption of AI
Dr. Han’s idea to access Web3 with the help of artificial intelligence comes at a time when Washington is studying how foreign models will operate in the American market. Ditto I mentioned By crypto.news Parts of the Trump administration have discussed actual restrictions on Chinese open source models after Moonshot AI’s 2.8 trillion parameter Kimi K3 topped the major coding leaderboard.
Axios reported that American companies have shown interest in Chinese systems because they can provide capable performance at lower prices. Open weight models also allow companies to download trained parameters, run models on private servers, and modify them without relying on the original developer’s platform.
People involved in the US policy debate have previously considered placing Chinese AI labs on the Commerce Department’s Entity List, crypto.news reports. Such a designation could restrict access to American technology without government licenses, although previous proposals have been paused amid concerns that the restrictions could slow the development of artificial intelligence in the United States.
Political scrutiny increased on July 22 when Michael Kratsios, director of the White House Office of Science and Technology Policy, Accused Moonshot AI To use Anthropic technology to develop Kimi K3. In Post X, Kratsios claimed that information obtained by the US government linked the development of K3 to Anthropic’s Fable model.
Kratsios claimed that Moonshot created an internal platform capable of extracting knowledge from American models through large-scale distillation. He also claimed that the platform can quickly change its access methods, making it more difficult for US developers to identify alleged activity.
However, the White House official did not release technical logs or any other evidence to support the allegations. Moonshot AI had not responded publicly at the time of reporting, while the White House had not provided materials that independent researchers could use to determine whether K3 had incorporated Anthropic’s proprietary technology.
Despite these political differences, Dr. Hahn expects AI to play an increasing role in how users discover and operate cryptocurrency products. The Gate strategy keeps traders in charge of the final decision while entrusting AI with the task of organizing information, identifying signals and lowering the technical barriers surrounding Web3.
