Kraken Wants You to Ask Your Phone for a House 🏠📈

Kraken will roll out an AI-powered financial assistant inside its mobile app, positioning the tool as decision support rather than automated trading. The redesigned platform asks users to set goals such as buying a home, saving for retirement or building an emergency fund, then tailors the interface and recommendations around those objectives, according to a company announcement. Every suggested trade requires user approval before execution, and the company said its "financial intelligence" layer continuously monitors markets, identifies opportunities and recommends trades without acting on its own.

Speaking to CNBC, Kraken chief data officer Kamo Asatryan said the product is built to give everyday investors the same market awareness as the exchange's most active traders. "[T]here's an opportunity for everyday people to become high-frequency traders and do so using plain English," he said. The app combines a user's financial profile, risk tolerance and funding preferences to generate a suggested portfolio that customers can review and adjust, then delivers personalized portfolio updates and investment suggestions tied to their holdings once invested.

The launch arrives as crypto exchanges and fintech firms race to embed AI agents into trading workflows. In June, OKX introduced a beta marketplace where AI agents can transact autonomously, complete onchain tasks and build blockchain-based reputations. That same month, Coinbase released a tool that lets AI agents make payments and trade cryptocurrencies on behalf of users through its x402 payments protocol.

Adoption data underscores the shift. Chainalysis reported last month that agentic payment activity on Coinbase's Base network had surpassed 100 million transactions, with transaction growth stabilizing while higher-value transfers became more common. On Friday, Revolut upgraded its Revolut X exchange to let customers connect AI assistants including Claude, Gemini, Cursor and OpenClaw to analyze markets, backtest trading strategies and place orders via natural-language prompts, with users required to review and approve each order.