Overlapping exposure across stocks, ETFs, options and digital assets makes whole-portfolio risk visibility the next test for investment platforms
Selena Singleton, U.S. Head of Business Development and Partnerships at Singapore-headquartered online brokerage Longbridge, says investment platforms must help Gen Z investors understand their portfolios as a whole. As younger investors move across stocks, exchange-traded funds, options and digital assets, wider market access is creating more complex and sometimes overlapping exposure.
An investor may hold shares in a company, an ETF containing those shares and options linked to the same company. Although they are different products, their underlying exposure may overlap. Singleton says platforms should clearly explain how the risks and investor protections associated with each product differ.
In a written interview with Korea IT Times, Singleton discusses how Longbridge’s AI-native brokerage model connects research, education, trading and portfolio review. She also explains how platforms can help investors assess information from social media and AI tools while maintaining clear boundaries between financial education, decision support and personalized investment advice.
The following is a Q&A with Selena Singleton, U.S. Head of Business Development and Partnerships at Longbridge.
Q. Many investment platforms were designed around experienced investors and conventional research workflows. What structural changes are necessary to serve a generation accustomed to conversational interfaces, real-time information and mobile-first decision-making?
Platforms need to support people while they are forming a decision. With many traditional platforms, the assumption is that the investor has already done their research and knows what they want to do. A Gen Z investor might arrive with a question about something they saw online and need help working through it.
That means centralizing research, education and trading into one experience. Investors should be able to ask questions in plain language, follow up without losing context, and understand why a real-time development might matter to them. On mobile, those explanations and the relevant risks need to be easy to access before acting. That’s what we’ve created at Longbridge: a connected experience where investors can explore, act and review their decisions without having to piece everything together across different apps.
Q. Longbridge describes itself as an “AI-native broker.” What does that mean in operational terms, and how does an AI-native brokerage differ fundamentally from a conventional platform that has added AI features?
Longbridge has built a dedicated AI infrastructure layer alongside our proprietary trading, dealing and settlement systems, connecting research and analysis with execution and portfolio review. For us, it means AI is part of how the investing experience works from beginning to end.
The difference becomes clear in how that support carries through. A standalone AI feature might answer a question, but you still have to take that answer elsewhere and figure out the next step. Longbridge AI is designed to retain relevant context, including your holdings, investing style and past decisions, so the support functionality becomes richer over time. The way I describe it is that you’re not starting from zero every time you open the app. You are building on what you’ve already learned while staying in control of the decisions.
Q. AI can simplify complex financial information, but it can also produce confident answers without sufficient context or expose users to automated herd behaviour. How should platforms distinguish financial education and decision support from personalized investment advice?
AI’s role should be to help investors understand their options, but the investor should always make the final decision. Platforms need to explain that clearly from the outset, with straightforward disclosures about what the tool provides and its limitations. Someone asking a question should understand whether they are receiving an explanation or a recommendation, rather than having to work that out themselves.
For us at Longbridge, the value is in helping investors process information and understand what is relevant to them. Broadly speaking, AI tools should explain information plainly, make sources and assumptions clear, and acknowledge uncertainty. Investors should be able to explore the risks and alternative perspectives, with the final decision always remaining with the investor. The investor should come away with a clearer understanding of their choices and remain in control of what happens next.
Q. Social media platforms are optimized for engagement, while investment platforms are expected to protect users and support informed decisions. How can brokers compete for Gen Z’s attention without adopting the same incentives that encourage speculation, overtrading or emotionally driven investing?
I don’t think we should assume Gen Z investors need constant encouragement to stay interested in investing. There’s real value in an experience that helps someone understand their portfolio or feel more confident assessing a trade. That gives people a reason to return, even when they decide not to make a trade.
Brokers need to reflect that in their design and incentives. Notifications should help investors understand something relevant, rather than make them feel like they are missing an opportunity. Measures of success should also include whether people find the support useful and are building their understanding. In my work around partnerships and communities, I think a lot about reaching people who want to become better investors but don’t feel like experts. Helping them learn and ask questions comfortably is a strong foundation for a lasting relationship.
Q. Gen Z investors increasingly move across equities, exchange-traded funds, options and digital assets rather than treating them as separate markets. How should regulation, investor education and platform design evolve to reflect this convergence?
We need to make it easier for investors to understand what changes as they move between those products. Having them in one app can make the experience feel familiar, but it doesn’t mean the risks or protections are the same. Education should explain the specific risks when someone is considering a product, in language they can understand.
Platforms also need to help investors see the whole portfolio. Someone might own a company’s shares, an ETF that holds those shares, and options linked to the same company. Those are different products, but their exposures overlap. For Gen Z investors, exploring different asset classes and understanding those connections is essential. Broader access should come with the support to understand what they are taking on.
