Kraken introduced an AI investing assistant that provides personalized portfolio recommendations and market insights, requiring user approval before any trade is executed. The new mobile experience replaces a trading‑first interface with a goal‑based approach that asks users about their financial objectives before suggesting investments. The assistant uses users’ financial goals, risk tolerance, funding preferences and market data to generate suggested portfolios. Kraken’s financial intelligence system continuously monitors market conditions, identifies potential opportunities and proposes trades. Every proposed trade must be approved by the user, and Kraken describes the tool as a decision‑support feature rather than an autonomous trading system. Chief data officer Kamo Asatryan said the technology aims to give everyday investors market awareness comparable to the exchange’s most active traders. He added that the plain‑English interface lets users act on high‑frequency style insights without needing advanced technical knowledge. The launch follows similar AI integrations by OKX, which introduced a beta marketplace for AI agents to perform on‑chain tasks, and Coinbase, which added a tool that lets AI agents trade and make payments through its x402 protocol. Chainalysis reported that agentic payment activity on Coinbase’s Base network exceeded 100 million transactions, with average transfer values rising. Revolut expanded its Revolut X exchange to allow customers to connect external AI assistants such as Claude, Gemini, Cursor and OpenClaw, which can analyze markets, backtest strategies and submit orders. Like Kraken, Revolut requires users to review and approve each order before execution, keeping human control central to AI‑assisted trading. The broader trend of AI integration across crypto exchanges raises questions about the balance between automation and user oversight as capabilities evolve.