ML/AI technology is often utilized by highly sophisticated institutions for managing investment, wealth, and risks today. Financial markets generate an enormous amount of data every second: high-frequency market data, news flows, investor sentiment, Wall Street expectations, and social media… you name it.
Building an infrastructure to handle such an ocean of data in order to generate meaningful insights for making informed investment decisions requires capital, skills, and previous experience. Most individuals and small hedge funds find that a lack of such skills is a significant barrier that keeps them from accessing opportunities to use ML/AI.
As a result, wealth gaps are occurring between those with access to ML/AI and those without access and those gaps are ever-increasing in America.