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The investor experience is undergoing a major transformation, driven by artificial intelligence, and especially by AI chat. Whether you’re a finance professional, operate an investment platform, or simply strive to make smarter investment decisions, AI chat is reshaping how investors access insights, analyze data, and act on opportunities. Understanding this shift isn’t just about keeping up with technology, it’s about staying ahead in a world where speed, accuracy, and usability define success.
Think of “investor experience” as similar to user experience on a website or in a smartphone application, except it adds specific functions that investors want. Obviously, any experience means an intuitive interface and powerful integrations. An effective investor experience adds:
These three qualities together create the function of investment intelligence. In turn, investment intelligence contributes the essential analytical and predictive features that are part of Financial AI platforms.
It’s one thing to build advanced investment technology; it’s another to make it easy and enjoyable to use. That’s where AI chat comes in, turning layers of data and analytics into quick, natural conversations that help investors get what they need instantly.
From general applications like ChatGPT and Google Gemini, to more specialized versions such as Grammarly and Momo, pretty much everyone uses AI chat. Some people choose text interactions, while others prefer voice commands. Interestingly, most AI-based searches are conducted using a desktop, while more people turn to mobile devices simply to browse the internet. We can expect the popularity of AI chat to increase as newer generations grow, with 70% of Gen Z using generative AI (compared to 32% of Gen X and older).
Of course, the main reason for the increasing use of AI chat is that it is natural to use. On the keyboard, features like autofill reduce the need for typing (which hardly anybody really knows how to do anyways). Smartphone users enjoy word suggestions when using text. The days of slow and stilted pronunciation, once suffered during voice interactions on mobile phones, are ending. This is due to improving rates of speech to text accuracy (a step that is necessary for turning text into machine-readable queries).
One of the problems with many forms of generative AI is that they “hallucinate” by producing results that are nonsense or inaccurate. There are various reasons why this happens, but a major factor is the quality of the large language model (LLM) on which a particular AI program relies. According to Statista, for example, the most popular information source for LLMs is Reddit, which has been accused of bias. However, the world of AI finance has developed and maintains its own customized models that are far more reliable than general LLMs.
Another facet of user expectations is seamlessness. People want to access all the related services of an application or website from one interface. A properly integrated app also automatically transfers relevant data from one service to others, such as communication with account managers, technical support, user FAQs, investment records, and account data. Many apps enable this through an AI chat function that can answer most questions without needing a human rep. The alternative is for a user to source different applications, learn how to use them, and input data multiple times even though they only need support for one issue.
Successful investors understand the need for speed. When important financial news becomes available, a lot of money can be made by those who buy/sell before the price of the security is adjusted. A proper investor experience includes the ability to get constant updates about investments, along with practical recommendations and the ability to act immediately. At the same time, a good application will screen out all the noise and eliminate any needless steps that are part of making a transaction.
Of all the above facets, the most valuable is speed and the ability to make decisions rapidly. The other benefits of AI chat for an optimized investor experience simply make users more confident in their research and post-investment analysis easier to do.
Plus, speaking of speed, there’s no need for professionals and individual investors to wait until their competitors start profiting from financial AI before also making the move. Advanced applications are ready today for investors to test the waters and get onboard with next generation research, analysis, and transactional tools that use artificial intelligence.
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