How AI Will Drive Innovation in Wealth Management in 2025
The rise of artificial intelligence (AI) has sparked innovation across industries, and wealth management is no exception, as stated in Fintech Global News. In 2025, AI’s integration into WealthTech is driving significant transformations, enhancing client services, operational efficiency, and accessibility.
Tamara Kostova, CEO of Velexa, highlights the immediate benefits wealth managers gain from incorporating AI tools into their operations. She notes, “The main use cases with measurable results evolve around relationship management, where wealth advisors use AI to gain deeper insights into client portfolios, risk appetite, and decision-making history. This has led to an impressive 80% reduction in time spent on client portfolio reviews and consulting.”
This efficiency allows wealth managers to serve a broader audience while maintaining high service quality. Looking ahead, Kostova foresees AI’s potential to improve financial education by performing market sentiment analysis from news, social media, and videos, integrating these insights into apps for on-demand content delivery to investors.
Kostova also envisions transformative changes through the unification of global investor data. “By analyzing vast datasets, GenAI could generate insights that support personalized portfolio management and asset allocation strategies,” she explains. However, she acknowledges the challenges posed by fragmented datasets, emphasizing the need for an industry-wide mindset shift and regulatory incentives.
Jurgen Vandenbroucke, Managing Director of EveryoneINVESTED, advocates for AI that integrates human behavioral insights. Referring to Andrew Lo from MIT, he suggests, “We need more artificial humanity rather than artificial intelligence in wealth management.”
Vandenbroucke emphasizes the importance of behavioral economics in refining digital investment processes. By addressing the emotional components of investing, AI can help build portfolios that align with individual preferences, encouraging long-term commitment. He also underscores the necessity of trust in AI systems, advocating for fiduciary-duty-aligned algorithms that prioritize client interests.
Fredrik Daveus, CEO of Kidbrooke, predicts that AI will simplify sophisticated guidance technology through natural language interfaces, broadening accessibility for inexperienced users. He adds, “AI will improve efficiency and drive execution flows, making investment advice more dynamic and responsive.”
Daveus warns that firms slow to adapt risk becoming obsolete. “The tipping point when an AI advisor becomes more appealing than a physical one is getting closer, paving the way for new business models centered on real client needs.”
Yohan Lobo, Industry Solutions Manager at M-Files, foresees widespread adoption of knowledge work automation in wealth management. This technology will streamline back-office tasks, enabling advisors to focus on high-value client interactions.
Lobo predicts AI will become proactive, offering insights into market trends and client behavior. “By analyzing past behaviors and market shifts, AI can anticipate client needs, strengthening relationships and enhancing strategies.” He also anticipates AI democratizing financial advice, making wealth management accessible to a broader demographic through personalized, automated solutions.
As AI continues to evolve, its integration into wealth management promises to redefine the industry. From improving operational efficiency to delivering personalized client experiences, AI is set to empower wealth managers and investors alike. Firms that embrace these advancements will not only enhance their offerings but also solidify their relevance in a rapidly changing market.