Have you ever considered how artificial intelligence is reshaping the world of finance? In late 2017, the Toronto Stock Exchange in Canada made history by launching the first AI-driven index equity fund (ETF), using machine intelligence to make investment decisions across global stock markets. This marked a significant step toward integrating AI into financial management.
Liu Zongsheng, General Manager of Yuanda Investment Co., explains that the term "AI" in the context of investing has two distinct meanings: "Artificial Intelligence" and "Automation Interaction." According to him, current AI in the securities market still falls under the latter category, as stock prices are primarily influenced by market dynamics rather than purely by algorithmic intelligence.
So why isn't AI in finance equivalent to "Artificial Intelligence"? Liu explains that while the stock market always has winners and losers, it doesn’t produce true experts. AI can't replace human expertise yet, but it can enhance decision-making. Looking ahead, he envisions four major trends: automated financial simulation, AI brokers, AI advisors, and AI strategy planners. These innovations will redefine how people interact with financial systems.
Today, the global trend in investment is moving towards "People + AI" and "People + Robot" models. In the FinTech space, investment involves flows of money, transactions, products, and information. Investment trusts now offer services that help manage and optimize these flows.
Liu emphasizes that for successful investment, the first step is financial management, and the last is accessing accurate information. For AI to truly integrate into finance, the key is to streamline fund cashing and liquidity. Once this is achieved, individuals can easily add small amounts of money—loose change or spare cash—to wealth-building platforms.
In recent years, as ETF products have become more standardized, price competition has intensified. To stay relevant, these products must evolve. AI is becoming a turning point in this transformation. In the future, investors will be able to use intelligent platforms that analyze their risk profiles and past investment behaviors to create personalized investment portfolios tailored to their needs. This shift marks a new era in smart, data-driven wealth management.
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