What happened?
Major crypto exchanges are rolling out AI-powered trading tools — Bitget launched GetAgent, Kraken acquired Capitalise.ai, and Binance added AI-driven UI features and token reports. These tools let users ask questions in plain English, build and backtest strategies without coding, and in some cases execute trades automatically across spot, futures, and other assets. They combine real-time market data, on-chain metrics, and social sentiment to give personalized signals, alerts, and one‑click actions.
Who does this affect?
Retail traders now have easier access to advanced automation and strategy tools, while pro traders and institutions can use no-code backtesting and multi-asset execution to scale workflows. Exchanges benefit by keeping users in their ecosystems and offering new services, and liquidity providers and market makers may see execution patterns change as more orders are driven by AI signals. Regulators, developers, and anyone relying on market infrastructure should watch closely because more trading logic is moving into opaque, model-driven systems.
Why does this matter?
AI speeds up decision-making and can make markets react faster to news and on-chain events, which can improve efficiency but also amplify volatility during sudden shocks. Broader use of these tools can democratize sophisticated trading, increasing retail participation and changing liquidity and price discovery across crypto and linked traditional assets. At the same time, if many traders follow similar AI signals or a single model, markets could become more correlated and face higher systemic or model-concentration risks.