The wealth management industry is rapidly revolutionizing itself as we progress into 2025. This change, led by AI, is not temporary or a fad—as many would like to believe. It is a fundamental transformation that is reshaping the very foundations and conventions of financial services. But is this change truly accessible to the end investor?
The world of investing has long been perceived as accessible only to the wealthiest and most knowledgeable individuals. That perception, however, is now shifting with the rise of AI-driven wealth technology—a game-changer in how we perceive and engage with global investment strategies. This innovative approach harnesses the power of artificial intelligence to democratize access to investment opportunities worldwide. It is now easier than ever for everyone to participate in wealth-generating opportunities. The future of finance is here, and it’s more inclusive than ever before.
AI is revolutionizing global investing by analysing vast amounts of data at lightning speed. Algorithms are scanning market trends, economic indicators, and social sentiments in real time. Making informed investment decisions has never been faster. Models now exist that can predict potential investment opportunities across various markets. AI enhances forecasting accuracy by recognizing patterns the human mind might miss—boosting both return potential and risk management.
Robo-advisors are becoming increasingly popular. These platforms use AI to tailor investment strategies based on individual preferences and risk tolerance. They offer personalized guidance without the high fees associated with traditional financial advisors. There is also growing interest in Robo-Research, a pioneering initiative at Savart, where not just the advisory process of portfolio construction—but the very discovery of securities—is being automated.
AI is also transforming global investing through automated trading. With AI-powered trading algorithms, investment decisions can be made and executed in a fraction of a second. This not only eliminates human error but also allows for faster responses to market fluctuations.
Another compelling application is AI in socially responsible investing. It can help identify companies that align with ethical or environmental standards by analysing ESG (Environmental, Social, and Governance) data, carbon footprints, employee policies, and community impact. AI provides insights into the sustainability and true impact of various investments—helping investors align portfolios with their values. It can track whether a company genuinely operates sustainably or merely claims to.
Additionally, AI helps overcome one of the biggest limitations of human decision-making: cognitive bias. Emotional responses such as fear, greed, or herd behaviour often lead to suboptimal investment decisions. AI’s data-driven approach removes such emotional noise, allowing for more rational and objective investing.
Another standout feature of AI is hyper-personalization. It continuously learns from user behavior, financial goals, risk appetite, income changes, and more—allowing investment strategies to adapt dynamically. This level of customization can have a significant positive impact on long-term financial outcomes.
Traditional advisors may charge 1.5–2% of your portfolio annually, but AI-enabled platforms offer services at a fraction of that cost. This democratization of finance means that even college students can take advantage of sophisticated services once reserved for the ultra-wealthy.
In the world of asset management, AI is making dramatic inroads. According to a report released by Deloitte, nearly $1.4 trillion in assets were managed by robo-advisors as of 2023. This number is expected to almost double to $2.8 trillion by 2025. Other reports suggest it may reach similar figures by 2028. Regardless of the exact timeline, the trend clearly indicates that AI is disrupting the wealth management space, resulting in greater efficiency for wealth managers, asset management companies, and investors alike. This is no longer a theoretical prediction. We are witnessing aggressive adoption across the financial ecosystem.
Authored by Sankarsh Chanda, Founder & CEO of Savart, AI-Powered Global Asset Management
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