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German Broker Scalable Lets Investors Trade Through ChatGPT and Claude — Is AI About to Become Your New Investment Assistant?

FRANKFURT, Germany — August 25, 2026 — The line between artificial intelligence and personal investing is getting thinner.

German digital investment platform Scalable Capital has opened a new way for customers to access their investment accounts through major AI chatbots, including ChatGPT and Claude, allowing users to conduct trades and analyze their portfolios through conversational AI.

Scalable says the initiative is a first for a European bank. The new AI-based access operates alongside its existing website and mobile app and includes security measures designed to protect customer accounts.

The move could mark a significant shift in how retail investors interact with financial platforms: instead of navigating traditional trading interfaces, customers can increasingly use natural-language conversations to ask about their portfolios and initiate investment-related actions.

From asking AI questions to actually placing trades

AI has already become a popular tool for investors researching companies, interpreting financial information and following market developments. What makes Scalable’s move different is that the technology is being connected to an actual investment platform.

That means the chatbot is no longer being used only as an information or research tool. Eligible Scalable customers can use the AI interface to interact with their investment accounts, including conducting trades and analyzing portfolio information.

However, that does not mean the chatbot itself has become an independent financial adviser or that investors should blindly follow AI-generated recommendations.

The distinction is important because AI systems can still produce incorrect or misleading information. The ability to execute a transaction raises the stakes considerably compared with simply asking a chatbot for an explanation of a stock.

Scalable sees this as only the beginning

Scalable founder and co-CEO Erik Podzuweit described the new capability as a “first step” toward wider AI adoption among investors.

He acknowledged that many people may still be uncomfortable allowing an AI system such as ChatGPT to access or manage their investment portfolios. The company’s expectation is that adoption could increase as customers become more familiar with AI-assisted investing and as similar capabilities eventually become available directly inside Scalable’s own application.

Podzuweit also offered a bullish hypothesis: greater use of AI could eventually lead to better investment returns on average. But he stressed that this is still something that has to be demonstrated rather than an established fact.

That caveat matters. AI-assisted investing is an emerging technology, not a proven shortcut to beating the market.

Scalable is already building around AI

The latest development is not Scalable Capital’s first experiment with artificial intelligence.

In August 2025, the company launched “Insights,” an AI-powered financial knowledge feature designed to answer investment and financial questions directly within its platform. Scalable said the feature uses specially adapted AI and was developed for private investors.

The company has also grown substantially since its founding in 2014. According to Reuters, Scalable now has more than 1 million clients and more than €60 billion in assets, with its strongest presence in Germany and Austria and operations also extending into Italy, Spain, France and the Netherlands.

Scalable also became a fully licensed bank in 2025 after receiving authorization from the European Central Bank to conduct deposit and lending business, with supervision by Germany’s BaFin and the Bundesbank.

Why this matters for investors

The bigger story is not simply that one European broker has connected its platform to ChatGPT and Claude.

It is that AI is moving from the research stage of investing toward the execution stage.

For years, investors have used search engines, financial websites and increasingly AI chatbots to answer questions such as:

  • “Why did this stock fall today?”
  • “Compare these two companies.”
  • “Explain this company’s earnings.”
  • “How diversified is my portfolio?”
  • “What risks am I exposed to?”

The next step is far more consequential: allowing AI interfaces to interact directly with financial accounts.

That could make investing easier for people who find traditional brokerage platforms complicated. But it also creates a new set of questions around authorization, cybersecurity, errors, suitability and the responsibility for decisions made through AI.

AI investing is expanding beyond Scalable

Scalable’s move comes as financial companies across the industry increasingly experiment with AI-powered investing and financial analysis.

In Singapore, for example, Tiger Brokers has promoted TigerAI, combining AI technology with human support to help investors navigate financial information.

Financial institutions are also deploying AI in more specialized areas. Reuters reported this month that major banks including Citi, HSBC, Deutsche Bank and Standard Chartered have adopted Ant International’s AI technology for foreign-exchange forecasting and risk-management applications.

The trend suggests that AI is becoming less of a standalone chatbot phenomenon and more of an underlying layer across financial services.

But there is a catch investors should not ignore

The convenience of conversational investing comes with an obvious trade-off: the easier it becomes to place a trade, the easier it may also become to make an impulsive one.

A traditional brokerage interface can force an investor to pause, review an order and consider the details before executing it. A conversational interface could make financial transactions feel as simple as sending a message.

That makes safeguards particularly important.

Investors should distinguish between using AI to understand information and allowing AI to take action with real money. The former can be useful for research and education; the latter carries direct financial consequences.

Scalable’s announcement therefore represents an important technological milestone, but it should not be interpreted as proof that AI can consistently outperform professional investors or the market.

The bigger question: Who will control your portfolio next?

Scalable’s experiment points toward a future in which investors may no longer think primarily in terms of “opening a brokerage app.”

Instead, they could simply tell an AI assistant what they want to understand, ask it to examine their portfolio and potentially instruct it to carry out an investment transaction.

That future may make investing more accessible — but it also puts unprecedented importance on trust, transparency and human oversight.

For now, Scalable is calling its AI integration a first step.

The real test will come when millions of investors begin asking a much bigger question:

If an AI can analyze your portfolio, recommend an action and execute the trade, who is ultimately responsible when it gets the decision wrong?

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