Gate founder and CEO Dr. Han has endorsed a human-led approach to crypto trading, arguing that artificial intelligence should serve as a supportive tool rather than a replacement for human judgment. His remarks come at a time when millions of digital assets and tens of thousands of decentralized applications are making Web3 increasingly difficult for users to navigate, and as major exchanges race to embed AI features into their platforms to stay competitive.

Speaking on the latest episode of the Gatecast podcast, Dr. Han said AI could help traders gather information, analyze market signals, and make decisions — but cannot eliminate the need for human oversight. According to the Gate CEO, combining AI tools with human intelligence offers a more effective trading model than relying entirely on automated systems. AI can process large volumes of market data quickly, he noted, but traders must still evaluate that information before acting.

🎙️ #GateCast 新一期上线｜Gate 创始人 @Han_Gate 坦白局！ 🤔 合规能不能换来更强的用户信任？它会不会拖慢创新速度？拿到 #MiCA 牌照，究竟是紧箍咒，还是通往更大市场的入场券？ 猜来猜去还是不明白，不如点开精彩片段康一康 👇 pic.twitter.com/coTFHML1zD — Gate 华语 (@Gate_zh) July 23, 2026

His comments position AI in an assistant role at a time when exchanges and traders are deploying automated tools to scan prices, track market activity, and filter information. Rather than framing the technology as a substitute for users, Dr. Han described it as a way to reduce the effort required to discover and understand crypto products — a friction point that has long contributed to the sector's low mainstream adoption rates.

The Gatecast discussion also addressed the difficulty of entering Web3, where users must choose among millions of tokens and tens of thousands of DApps. Dr. Han identified those choices, along with the learning curve required to use decentralized products, as barriers that keep potential users outside the sector. Under his assessment, AI could serve as a gateway between users and the Web3 ecosystem by helping them locate relevant services and understand how those products work. Intelligent interfaces could also reduce the time users spend researching separate protocols, assets, and trading tools.

Gate's Intelligent Web3 Strategy

Gate is already developing several products under what the exchange calls its Intelligent Web3 strategy. Dr. Han identified Gate AI, GateClaw, and Gate for AI Agent as components of a product system designed to integrate artificial intelligence into the company's trading ecosystem. The approach mirrors a broader industry pattern: exchanges including Binance and Bybit have also introduced AI-powered assistants, copy-trading tools, and risk-analysis features in recent months as competition for retail users intensifies.

Through these services, Gate is using AI to simplify product interactions and reduce the amount of knowledge required before users can begin exploring Web3. Dr. Han added that the exchange plans to continue developing intelligent products that make decentralized services easier to access.

His position diverges from predictions that increasingly capable models could eventually remove people from financial decision-making. While Dr. Han credited AI with improving research and signal analysis, he maintained that the technology cannot fully reproduce the judgment traders apply when interpreting market conditions — a view echoed by some traditional-finance veterans who see AI as augmenting, rather than displacing, portfolio managers.

CZ Separates AI's Role from Bitcoin's Scarcity

Earlier this week, Binance founder Changpeng Zhao also drew a distinction between AI's economic role and that of Bitcoin. In an X post, CZ argued that artificial intelligence can raise productivity, improve business efficiency, and support technological development, while Bitcoin offers a scarce asset that cannot be expanded beyond its 21 million-coin limit.

The comparison followed JPMorgan CEO Jamie Dimon's forecast that the AI investment cycle could attract $725 billion this year. According to CZ, companies developing AI products can issue more shares or raise capital to finance expansion, potentially diluting existing investors, whereas no company or government can increase Bitcoin's programmed supply.

CZ also rejected the idea that rapid progress in artificial intelligence gives investors the same protection that Bitcoin may offer when fiat currencies lose purchasing power. His comments focused on the difference between investing in productivity-driven businesses and holding an asset designed around fixed supply.

Political Pressure Could Complicate AI Adoption

Dr. Han's case for AI-assisted Web3 access comes as Washington considers how foreign models should operate in the U.S. market. As previously reported by crypto.news, parts of the Trump administration have discussed de facto restrictions on Chinese open-source models after Moonshot AI's 2.8-trillion-parameter Kimi K3 topped a major coding leaderboard.

Axios reported that American companies have shown interest in Chinese systems because they can deliver capable performance at lower prices. Open-weight models also allow businesses to download trained parameters, operate models on private servers, and modify them without depending on the original developer's platform — a model increasingly favored by cost-conscious developers worldwide.

People involved in the U.S. policy debate have previously considered placing Chinese AI laboratories on the Commerce Department's Entity List, according to the crypto.news report. Such a designation could restrict access to American technology without government licenses, although earlier proposals were paused amid concerns that the restrictions could slow AI development within the United States. The Entity List has previously been used to restrict telecom giant Huawei and semiconductor manufacturers tied to China, making it one of Washington's primary tools for limiting technology transfers.

Political scrutiny intensified on July 22 when Michael Kratsios, director of the White House Office of Science and Technology Policy, accused Moonshot AI of using Anthropic technology to develop Kimi K3. In an X post, Kratsios claimed that information obtained by the U.S. government linked K3's development to Anthropic's Fable model.

Kratsios alleged that Moonshot created an internal platform capable of extracting knowledge from American models through large-scale distillation. He also claimed that the platform could change its access methods quickly, making the alleged activity harder for U.S. developers to identify.

However, the White House official did not release technical records or other evidence supporting the allegations. Moonshot AI had not publicly responded at the time of the report, and the White House had not provided material that independent researchers could use to determine whether K3 incorporated Anthropic's proprietary technology.

Despite those policy disputes, Dr. Han expects AI to play a growing role in how users discover and operate crypto products. Gate's strategy keeps traders responsible for the final decision while assigning AI the task of organizing information, identifying signals, and lowering the technical barriers surrounding Web3 — though whether regulators will allow unrestricted access to the models powering these features remains an open question for the industry.