Artificial intelligence should act as a powerful assistant rather than a replacement for crypto traders, according to Gate founder and CEO Dr. Han, who believes human judgment will remain central as Web3 becomes increasingly complex.
Speaking on the latest episode of the Gatecast podcast, Dr. Han said AI is best used to help traders gather information, analyse market signals and streamline decision-making, while leaving final calls to people rather than machines.
He argued that combining “AI + human intelligence” offers a more effective trading model than fully automated systems, because algorithms can rapidly scan huge volumes of market data but cannot replicate how experienced traders interpret that information in real time.
Assistant, not substitute
Dr. Han positioned AI firmly in a supporting role at a moment when exchanges and professional traders are already deploying automated tools to track prices, monitor market activity and filter data.
Instead of portraying AI as a way to remove users from the process, he described it as a means of cutting the time and effort required to search for, compare and understand crypto products in an increasingly crowded marketplace.
He said the approach is particularly important in Web3, where users must navigate millions of tokens and tens of thousands of decentralized applications (DApps). Those sheer numbers, together with the technical learning curve involved in using decentralized tools, were identified by Dr. Han as key barriers that continue to deter many potential users.
AI as a gateway to Web3
Under his assessment, AI could serve as a bridge between newcomers and the Web3 ecosystem by helping people locate relevant services and explaining how those products function.
Intelligent interfaces, he suggested, can cut down the hours users currently spend researching separate protocols, assets and trading tools, effectively guiding them through the landscape rather than leaving them to piece it together from scratch.
Gate is already building products under what it calls its Intelligent Web3 strategy. Dr. Han highlighted Gate AI, GateClaw and Gate for AI Agent as core elements of a system intended to weave artificial intelligence into the exchange’s trading environment.
Through these services, Gate aims to simplify how people interact with products and reduce the level of specialist knowledge needed before users feel confident exploring Web3. Dr. Han said the exchange plans to keep expanding its intelligent product line in an effort to make decentralized services easier to reach and use.
Challenge to calls for full automation
His stance contrasts with predictions that increasingly powerful AI models will eventually push people out of financial decision-making altogether.
While Dr. Han credited AI with improving research, signal detection and information processing, he maintained that the technology cannot fully reproduce the kind of judgment traders apply when weighing fast-moving market conditions and broader context.
Crypto, AI and Bitcoin’s role
The debate over AI’s role in finance has intensified across the sector. Earlier this week, Binance founder Changpeng Zhao drew a clear line between the economic function of artificial intelligence and that of Bitcoin.
In a post on X, CZ argued that AI can boost productivity, strengthen business efficiency and drive technological progress, whereas Bitcoin is defined by its scarcity, with supply capped at 21 million coins.
His comparison came after JPMorgan CEO Jamie Dimon projected that AI-related investment could reach $725 billion this year. CZ noted that companies developing AI systems can issue new shares or raise further capital to fund expansion, which may dilute existing investors, but no company or government can increase Bitcoin’s pre-programmed supply.
He also dismissed the idea that rapid AI advances offer the same hedge that Bitcoin might provide if fiat currencies lose purchasing power, stressing the difference between backing productivity-led businesses and holding an asset built around fixed supply.
US scrutiny of Chinese AI models
Dr. Han’s case for AI-assisted access to Web3 arrives as Washington intensifies its debate over how foreign AI systems should operate in the US market.
As previously reported by crypto.news, figures within the Trump administration have discussed imposing de facto restrictions on Chinese open-source models after Moonshot AI’s 2.8-trillion-parameter Kimi K3 model topped a major coding leaderboard.
Axios reported that US firms have shown interest in Chinese AI because the systems can deliver strong performance at lower cost. Open-weight models also allow companies to download trained parameters, run them on private servers and adapt them without relying on the original developer’s platform.
People involved in US policy talks have, according to the crypto.news report, floated the idea of placing Chinese AI labs on the Commerce Department’s Entity List. That move would curb access to American technology without a government licence, though earlier proposals were paused amid concerns the measures could slow domestic AI development.
Allegations over Moonshot AI
Political pressure rose further on 22 July when Michael Kratsios, director of the White House Office of Science and Technology Policy, accused Moonshot AI in an X post of using Anthropic technology to build Kimi K3.
Kratsios claimed that information obtained by the US government connected K3’s development to Anthropic’s Fable model. He alleged Moonshot had created an internal platform capable of extracting knowledge from American systems through large-scale distillation, and said the platform could quickly alter its access methods, making the alleged activity harder for US developers to spot.
However, he did not publish technical records or other evidence to substantiate those claims. At the time of the report, Moonshot AI had not issued a public response, and the White House had not provided materials that independent researchers could use to assess whether K3 incorporates Anthropic’s proprietary technology.
Human responsibility at the centre
Against that backdrop, Dr. Han expects AI to become increasingly central to how users discover and manage crypto products, but insists traders must remain accountable for what they choose to do.
Gate’s strategy keeps human decision-making at the core, he said, while handing AI the tasks of organising information, highlighting key signals and lowering the technical hurdles that still surround much of Web3.
