Bitget is expanding its AI “co-pilot” trading push into a full ecosystem spanning retail users, developers, and institutional partners.
Summary
- Bitget uses its UEX architecture to embed AI agents across crypto and tokenized markets.
- New “co-creation” plan includes an AI trading hackathon, creator tutorials, and B2B integrations.
- Executives say AI should be a “key lever” for ordinary users, not a closed tool for institutions.
Bitget is doubling down on AI-native trading, launching an AI ecosystem co-creation plan that aims to turn its Agent Hub and GetClaw products into an all-weather “co-pilot” for retail traders, the company said at its “Obsidian Night” event on Tuesday.
During the event, the head of Bitget’s AI products argued that AI “should not just be a pile of functions within the exchange, nor should it be an exclusive tool for institutions, but rather a key lever for ordinary users to achieve trading equality,” positioning the push as a way to narrow the gap between pros and retail.
Built on Bitget’s Universal Exchange (UEX) architecture, the AI stack plugs into cross-asset trading, with Agent Hub already giving AI agents direct access to live markets across both crypto and tokenized traditional instruments, according to a recent transparency report.
Bitget’s latest transparency filing highlighted that its Agent Hub now combines Model Context Protocol, REST/WebSocket APIs, and new Skills and CLI modules into a single “MCP + API + Skills + CLI” pipeline, designed to bridge AI models, developer tools, and real trade execution in one environment.
On top of that infrastructure, Bitget has rolled out GetClaw, an AI trading assistant that can execute strategies from natural-language instructions, monitoring markets and managing positions in real time via a dedicated AI account structure.
“Sooner or later emerging financial markets are going to be filled with AI agents trading on behalf of users. We’re preparing the infrastructure to run this on scale,” Bitget CEO Gracy Chen said in a recent statement, describing the dedicated GetClaw accounts as a way to separate user-controlled assets from agent-driven activity while keeping execution transparent.
The exchange is also building around Gracy AI, a digital assistant modeled on Chen’s decision-making style that focuses on market cycles, strategy and risk framing rather than price calls, which Bitget says anchors its broader UEX roadmap.
In the second quarter of 2026, Bitget plans to host what it calls the world’s first AI trading hackathon, provide developers with technical resources, work with creators on practical AI trading tutorials, and open B-end cooperation for projects and tool vendors to integrate into its ecosystem, extending earlier hackathon efforts with partners such as Solana.
The push comes as Bitget reports robust growth in its core business, including an 86% year-on-year increase in Bitcoin reserves in February 2026 and triple-digit spot volume expansion in prior quarters, metrics the firm presents as proof it can fund and scale AI-heavy infrastructure under its Universal Exchange strategy.
In a previous crypto.news story, Bitget detailed how its GetAgent AI assistant bundled more than 50 trading tools, including market insights and social sentiment, to simplify decisions for a waitlist of 25,000 users at launch, while separate reports covered its AI-driven token analysis feature in Bitget Wallet and its earlier hackathon collaboration with Solana’s ecosystem.
According to crypto.news, Bitget has also tied its AI and infrastructure build-out to broader growth moves such as securing full licensing in El Salvador and slashing order-processing latency by up to 40% as it leans into its “universal exchange” pivot.
