Artificial intelligence has turned into a transformed force in investment management, and let’s be real — we all saw that coming. According to a recent survey, more than 90% of investment managers are either currently using or plan to use AI in their investment strategies.
Whether you’re planning to take your investment approach to the next step or are simply interested in what’s new in the field, we’ve got you covered. This guide breaks down key intelligence trends that are shaping modern investing as we speak.
Predictive Analytics
Have you ever wondered what the core of an investment strategy is? Estimating what might happen next in the markets. Predictive analytics make it possible. It has become one of the most popular AI investing trends, and for good reason.
Predictive analytics involves using artificial intelligence, specifically machine learning, to process vast amounts of data in real time. This includes both structured (market prices, financial reports) and unstructured (news articles, social media, satellite imagery) data. AI models have been trained to break down large datasets and produce probability-based forecasts.
Investors are using predictive analytics to:
* Forecast market trends
* Select stocks
* Manage risk
* Create short- and long-term trading strategies
But the question arises, how are AI models better than traditional predictive analytics models? Traditional models use fixed formulas, but AI-based predictive analytics adapt as new data arrives and can process vast datasets quickly.
Automated Portfolio Management
Automated portfolio management tools, sometimes known as robo-advisors, have become the new normal. According to a report by Fortune Business Insights, the global robo-advisor market is projected to grow from $10.86 billion in 2025 to $69.32 billion by 2032.
Automated portfolio management uses artificial intelligence and algorithms to build, manage, and rebalance investment portfolios automatically. This is especially famous among investors who want a hands-off approach to portfolio building.
Here’s how it works:
* Investors share their goals, risk tolerance, and income needs.
* An AI model, or robo-advisor, builds a personalized portfolio. It can include a mix of investment instruments, such as ETFs, stocks, and mutual funds.
* Robo-advisors continuously track market movements and adjust allocations.
* The portfolio always remains aligned with your original investment goals and strategy.
SoFi offers automated investment accounts that help investors build well-balanced, diversified portfolios.
Algorithmic Trading
Algorithmic trading is also gaining traction. Simply put, computer programs are given pre-defined instructions (algorithms) to execute trades in financial markets. A computer program follows clear rules, such as buying when the price of a stock drops below a specific level.
When market conditions match the rules, the algorithm instantly places buy or sell orders. Trades are executed in fractions of a second, far faster than humans can react.
Thematic Investing
Thematic investing, powered by artificial intelligence, involves keeping an eye on long-term, transformative trends, such as clean energy, AI, or biotech. The idea is to invest in companies all set to profit from these structural shifts. Investors believe these trends will play out over the next few years.
That said, trends can shift, so conduct rigorous research before building a thematic portfolio.
