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German broker Scalable opens investment platform to major AI chatbots
FRANKFURT, Aug 25 (Reuters) - The German broker Scalable Capital on Tuesday said its account holders could now use major artificial platforms like ChatGPT and Claude to conduct trades and analyze their portfolios. The new service, which Scalable said was a first for a European bank, comes in addition to the app and website as ways to access customer accounts and includes a number of security measures. Scalable founder and Co-CEO Erik Podzuweit said the service is a "first step" ahead of the mass adoption of AI for its customers that is likely to occur after it provides the capability directly within its own app. "A lot of people might still be hesitant to let ChatGPT look at their portfolio, manage their portfolio. So I think that it's a first step," he told Reuters. He also said his hypothesis is that usage of AI will on average result in better returns but that it remains to be seen. Scalable, founded in 2014, has more than 1 million clients with more than €60 billion in assets. It is primarily used in Germany and Austria but also operates in Italy, Spain, France and the Netherlands. New financial firms like Scalable have further increased competition in an already crowded German banking landscape, offering retail investors an easier and cheaper path to investments than at many traditional lenders. Reporting by Tom Sims Editing by Linda Pasquini Our Standards: The Thomson Reuters Trust Principles., opens new tab * Suggested Topics: * Artificial Intelligence Tom Sims Thomson Reuters Covers German finance with a focus on big banks, insurance companies, regulation and financial crime, previous experience at the Wall Street Journal and New York Times in Europe and Asia.
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Scalable Capital connects €60bn of client assets to outside AI assistants
Scalable Capital says it is the first European bank to connect accounts to outside AI assistants, and admits it does not yet know if it helps returns. Scalable Capital has opened its investment platform to ChatGPT and Claude, allowing its clients to analyse their portfolios and place trades through the two AI assistants rather than through the broker's own app. The Munich company says it is the first European bank to do this, and it arrives as the industry works out what handing trading capability to an AI agent actually looks like in practice. The company is not small. Founded in 2014, Scalable has more than a million clients and over €60bn under management, operating chiefly in Germany and Austria with a presence in Italy, Spain, France, and the Netherlands. The sequencing is the interesting decision. Most institutions build an assistant inside their own product first and expose it to third parties later, if at all, whereas Scalable has gone to the external platforms before integrating the capability into its own app. Erik Podzuweit, the founder and co-chief executive, framed it as an opening move rather than a finished product. "A lot of people might still be hesitant to let ChatGPT look at their portfolio, manage their portfolio," he said, calling the launch "a first step". He was also unusually candid about the evidence base. His hypothesis is that using AI could produce better average returns, but he acknowledged that this remains to be demonstrated, which is a more honest position than most launches in this category adopt. It is worth being precise about what has changed. A chatbot that can read a portfolio is a convenience feature, while a chatbot that can execute a trade is a different category of thing, and the distance between the two is measured in what happens when the model misunderstands an instruction. Prompt injection is the failure mode that has no clean answer yet either. An assistant that reads a portfolio also reads whatever text it is pointed at, and a model that can place orders is a considerably more attractive target than one that can only summarise. Scalable says security measures protect customer accounts, without detailing them publicly. The obvious questions are how a trade instruction is confirmed, what limits apply, and who is liable when an assistant acts on an ambiguous request, and none has a published answer yet. European banks have been moving towards conversational interfaces for a while, with bunq shipping its own generative AI assistant and Citi's Jane Fraser arguing that two AI races will decide banking's future. Almost all of that work has kept the model inside the institution's perimeter. Going outside it changes the regulatory picture. A German broker operates under MiFID II suitability and appropriateness rules, and it is not obvious how those obligations apply when the interface advising a retail client belongs to OpenAI or Anthropic rather than to the firm holding the assets. Scalable presumably takes the view that the assistant is executing instructions rather than giving advice, which is a defensible line and also a fine one. Where a model summarises a portfolio and a user acts on the summary, the boundary between information and recommendation is doing a lot of quiet work. There is a distribution argument underneath all of it. Brokers spent the last decade fighting to own the app on a customer's home screen, and if the entry point moves to a general-purpose assistant, that investment stops compounding. The commercial logic is easier to follow. If people increasingly start financial tasks inside a chatbot rather than an app, the broker connected to that chatbot captures the flow, and the one waiting to build its own assistant does not. Rivals will not wait long to find out. Trade Republic, Revolut, and the incumbent banks all have the same distribution problem and none of them has an obvious reason to concede the channel to a Munich competitor. That is the bet, and Podzuweit has essentially said so. Whether it produces better returns for anyone is a question his own framing leaves open, and one that will take considerably longer than a launch cycle to answer.
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A major German bank just let Claude and ChatGPT trade for customers. In one test, Claude beat human traders 76% of the time -- but there's a catch | Fortune
Watch out, investors -- the AI boom is making its way to you. Scalable Capital is opening its investment platform to AI assistants including ChatGPT, Claude and Grok -- giving European investors the ability to analyze portfolios, set up savings plans and place trades through prompts. The Munich-based bank told Reuters that it is the first bank in Europe to open its platform to major AI assistants. Its new "Agentic Investing" service allows customers to connect their Scalable accounts to supported AI agents through the Model Context Protocol, or MCP. The move puts AI directly into the trading workflow. Scalable Capital Chief Product Officer Alexander Siepp told Fortune the company sees the integration as a way for investors to begin their financial "client journey" inside an AI assistant and complete it through Scalable's regulated banking infrastructure. "It certainly creates a level-playing field," he said. "Access to information and to compute and to intelligence is now available -- really -- literally in your pocket, 24/7." But Siepp noted it may take time to become fully integrated with Scalable's client base. "Maybe not for all client segments at the same speed," Siepp said. "But we clearly see potential that there is a large group of clients that would be interested in doing it." Scalable Capital, founded in 2014, has grown into one of Europe's largest digital investment platforms. The company also told Reuters it has more than €60 billion in client assets and more than 1 million customers, primarily in Germany and Austria, with operations also expanding across countries including Italy, Spain, France and the Netherlands. The company's roots are in making investing more accessible through digital brokerage and wealth-management services. Scalable has also expanded its trading offering to include derivatives, and said in July that it would offer more than 1.8 million derivatives from seven major issuers. Siepp said that the program can fundamentally change how investors interact with their brokerage accounts. A customer could, for example, ask an AI assistant to identify stocks that have fallen for consecutive months and monitor them. The assistant could then prepare an order based on the user's instructions. "It's just a few prompts," he said. Is AI a reliable investor? But the effectiveness of AI when given the reins for making trades remains to be seen. A June research report from Elm Wealth offers a mixed answer. Researchers Jerry Bell, Victor Haghani and James White tested Claude, ChatGPT, Gemini and Grok in a "Crystal Ball Challenge," giving the models historical Wall Street Journal front pages with market-moving information but withholding the actual market outcomes. The experiment found that Claude and ChatGPT were relatively strong at predicting market direction. Across roughly 200 sessions, Claude beat human players in 76% of sessions, while ChatGPT beat them in 63%. Gemini did so in 43% of sessions and Grok in 51%. But the models had a major weakness, the study found. Elm found the AI systems generally took too much risk relative to the trade context. The researchers distinguished between two investment decisions -- what to invest in and how much to invest. AI performed relatively well on the first factor but poorly on the second. The study found the models understood concepts such as the Kelly criterion and Merton share in theory but struggled to apply appropriate risk management when making actual simulated trading decisions. "The US stock market has moved by over 5% on 23 days and by over 9% on seven days since the year 2000," the study read. "Given average position sizing in stocks of 7x to 12x across the AIs, we think they were taking too much risk of a catastrophic loss of capital, given none of them had (or could reasonably expect to have) super high hit ratios." OpenAI, Anthropic, Google and xAI did not immediately respond to a request for comment from Fortune about using AI assistants for financial trading. But Scalable is not handing over unrestricted control of customer accounts to AI. The company said users must approve trades and savings plans before they are executed, and its current system does not allow AI assistants to make payments or withdraw money from Scalable accounts. Siepp said the AI connection follows the same core security protocols as Scalable's existing applications, including strong customer authentication. "Whether you end up finding the holy grail together with your AI assistant on high returns and low risks or not, I think that remains to be seen," he said. He also stressed that the arrangement is not a formal partnership between the German bank and OpenAI or Anthropic. Instead, Scalable is using MCP -- an open technology for connecting AI systems to external tools and services. "We are using available resources, technologies, the MCP -- the Model Context Protocol," Siepp said. "This is really a standalone offering that comes only from Scalable users, ready-made technology integrations offered by those AI assistants."
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AI trading platforms: German broker Scalable opens investment platform to major AI chatbots
The new service, which Scalable said was a first for a European bank, comes in addition to the app and website as ways to access customer accounts and includes a number of security measures. The German broker Scalable Capital on Tuesday said its account holders could now use major artificial platforms like ChatGPT and Claude to conduct trades and analyze their portfolios. The new service, which Scalable said was a first for a European bank, comes in addition to the app and website as ways to access customer accounts and includes a number of security measures. Scalable founder and Co-CEO Erik Podzuweit said the service is a "first step" ahead of the mass adoption of AI for its customers that is likely to occur after it provides the capability directly within its own app. "A lot of people might still be hesitant to let ChatGPT look at their portfolio, manage their portfolio. So I think that it's a first step," he told Reuters. He also said his hypothesis is that usage of AI will on average result in better returns but that it remains to be seen. Scalable, founded in 2014, has more than 1 million clients with more than €60 billion in assets. It is primarily used in Germany and Austria but also operates in Italy, Spain, France and the Netherlands. New financial firms like Scalable have further increased competition in an already crowded German banking landscape, offering retail investors an easier and cheaper path to investments than at many traditional lenders.
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German brokerage firm Scalable Capital launched a groundbreaking service allowing its 1 million clients to conduct trades and analyze portfolios through AI chatbots like ChatGPT and Claude. The integration connects €60 billion in client assets to external AI assistants, but questions remain about AI's ability to manage risk effectively in real trading scenarios.
Scalable Capital announced it has become the first European bank to open its investment platform to major AI chatbots, allowing clients to conduct trades and analyze portfolios through ChatGPT and Claude
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. The Munich-based German brokerage firm, which manages over €60 billion in assets for more than 1 million clients, introduced its "Agentic Investing" service that connects customer accounts to AI assistants through the Model Context Protocol3
. Founded in 2014, Scalable Capital operates primarily in Germany and Austria, with expanding operations in Italy, Spain, France and the Netherlands1
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Source: Fortune
Erik Podzuweit, Scalable's founder and Co-CEO, positioned the launch as a "first step" toward mass AI adoption, acknowledging that many customers may initially hesitate to let ChatGPT and Claude manage their portfolios
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. Chief Product Officer Alexander Siepp explained that the service allows investors to begin their financial journey inside an AI assistant and complete it through Scalable's regulated banking infrastructure3
. The European digital investment platform chose to integrate with external AI assistants before building the capability into its own app, reversing the typical sequence most financial institutions follow2
.Podzuweit candidly admitted his hypothesis that AI trading will produce better average returns "remains to be seen," offering a more transparent stance than most product launches in this category
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. Research from Elm Wealth provides mixed evidence on AI's investment capabilities. In a June study testing Claude, ChatGPT, Gemini and Grok through a "Crystal Ball Challenge," Claude beat human traders in 76% of sessions while ChatGPT succeeded in 63% of sessions3
. However, the study revealed a critical weakness in risk management. AI systems understood theoretical concepts but struggled to apply appropriate position sizing, with average stock positions ranging from 7x to 12x, creating excessive risk of catastrophic capital loss3
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Scalable Capital requires users to approve trades and savings plans before execution, and the current system prevents AI assistants from making payments or withdrawing money from accounts
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. Siepp stated the AI connection follows the same core security protocols as Scalable's existing applications, including strong customer authentication3
. However, the integration raises unanswered questions about prompt injection attacks and liability when AI assistants act on ambiguous requests2
. Operating under MiFID II suitability and appropriateness rules, it remains unclear how these regulatory obligations apply when the interface advising retail clients belongs to OpenAI or Anthropic rather than the firm holding the assets2
.The move by Scalable Capital addresses a fundamental distribution challenge facing digital brokers. If customers increasingly initiate financial tasks inside AI chatbots rather than dedicated apps, brokers connected to those assistants capture transaction flow while competitors building proprietary solutions risk losing market position
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. Rivals including Trade Republic, Revolut and incumbent banks face the same distribution problem and have no obvious reason to concede this channel to the Munich competitor2
. Scalable's integration uses the Model Context Protocol, an open technology for connecting AI systems to external tools, rather than forming formal partnerships with OpenAI or Anthropic3
. This approach positions AI trading as accessible infrastructure rather than proprietary advantage, potentially accelerating industry-wide adoption across European financial services.Summarized by
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