Alexander Siepp, chief product officer of Scalable Capital, announced the launch of an "Agentic Investing" service that connects the German bank's platform to major AI assistants, including Claude, ChatGPT and Grok. The integration uses the Model Context Protocol (MCP) to let investors issue natural-language prompts that generate portfolio analyses, savings plans and trade orders.
How the service works
Customers can link their Scalable accounts to supported AI agents through MCP, a standard that enables external tools to interact with the bank's regulated infrastructure. An investor might ask an assistant to identify stocks that have fallen for several months, monitor them and, once instructed, prepare an order. The AI produces the trade suggestion, but the user must confirm the transaction before it is executed.
Why the move matters
Scalable Capital, founded in 2014, now manages more than €60 billion in client assets and serves over one million customers across Germany, Austria, Italy, Spain, France and the Netherlands. By embedding AI directly into the trading workflow, the bank aims to level the informational playing field, giving retail investors access to sophisticated analysis that was previously the domain of professional traders.
In a recent study by Elm Wealth, AI models performed well at predicting market direction. Claude beat human participants in 76 % of roughly 200 test sessions, while ChatGPT succeeded in 63 % of cases. However, the research also highlighted a tendency for the models to take excessive risk when deciding how much to invest, a factor that could lead to large losses if left unchecked.
What comes next
Siepp cautioned that adoption may vary across client segments and that the service is not a formal partnership with the AI developers. "It certainly creates a level-playing field," he said, noting that the AI connection follows the same security protocols as Scalable's existing applications, including strong customer authentication.
While the bank does not allow AI assistants to move money autonomously, the company plans to refine the offering based on user feedback and regulatory guidance. As AI tools become more capable, the balance between convenience and risk management will likely shape the future of retail investing in Europe.