Bitget AI has announced significant milestones, reporting over 1 million users and achieving a trading volume of $1.2 billion across a suite of 58 tools as of mid-May 2026. The platform, which recently rebranded to Bitget AI, is making a strategic shift from AI chat features to a focus on full execution, aligning itself with an agent-native exchange model.
CEO Gracy Chen indicated that this transition is a part of a broader evolution in the role of AI within trading. “The role of AI in trading is starting to shift from chat to execution,” Chen remarked, emphasizing the necessity for platforms to adapt accordingly. Bitget AI is positioning itself under its Universal Exchange (UEX) framework, which aims to provide a fully integrated environment for retail traders and developers.
The platform’s infrastructure now combines critical functions such as market analysis, strategy execution, and risk management, creating a unified ecosystem. Central to this system are two existing tools: Getclaw, a zero-install AI agent that delivers real-time market insights, and Getagent, which automates strategy execution and trading. These tools are linked through Agent Hub, a developer platform that offers API access, model integrations, and various tools designed to facilitate the creation of custom agents.
Bitget AI has introduced a new feature in beta called AI Trading Playbooks, enabling traders to build strategies using natural language. Once crafted, these strategies can be backtested, deployed, hosted, and distributed through a built-in marketplace. Supporting infrastructure includes data SDKs and standards for trading harnesses, all aimed at simplifying the trading process.
Prior to the unified branding, Getagent had amassed a user base of 450,000, according to a report from Messari Pulse in April 2026. The recent announcement has consolidated these figures and established a dedicated landing page for Bitget AI.
Describing itself as the world’s largest Universal Exchange, Bitget boasts over 125 million users and offers access to a range of trading assets, including cryptocurrencies, tokenized assets, stocks, ETFs, and commodities. The platform’s focus is on user adoption and increased order flow, positioning Bitget AI as a unique player within the competitive landscape of cryptocurrency exchanges.
Agent Hub further strengthens Bitget’s offering by providing developers with REST and WebSocket support alongside a command-line interface for building customized agents. This infrastructure is seen as essential for extending the platform’s capabilities and enhancing user experience.
As the rollout of Bitget AI continues, observers are keen to see whether the reported user adoption translates into sustained trading activity. The platform’s commitment to integrating AI capabilities as core infrastructure marks a significant trend among major exchanges, reflecting a shift in the industry as they aim to harness AI for more sophisticated trading functionalities. However, potential users are cautioned to remain aware of volatility risks and to carry out their own research before engaging with these AI-driven trading tools.
