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Technology > Artificial Intelligence

7 Ways AI Can Help Advisors With Wealth Management

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While artificial intelligence may seem ubiquitous, not all AI solutions are created equal. Nor are they all riddled with harbingers of societal doom. In reality (our reality), AI can be highly effective in supporting financial advisors, maximizing their ability to serve clients and helping them build their books of business.

As the founder of a wealth technology firm that works with and advocates for AI every day, I’ve seen its capabilities evolve tremendously. I can see where it’s headed, and I’m incredibly excited about the potential that AI holds for all of us, particularly advisors. 

I believe that AI will offer a number of advantages for financial advisors. It’s essential to use these technologies thoughtfully and ethically, considering factors like transparency, data privacy and regulatory compliance to ensure that clients’ best interests are prioritized.

As AI becomes more prevalent in the financial industry, adopting its tools and technologies will give financial advisors a competitive edge. Clients will come to prefer advisors who use advanced AI for better financial planning and investment management.

Here are seven areas I see affecting AI’s ability to enhance the wealth management industry: 

1. Data Driving a Revolution

With roughly 4.66 billion active internet users worldwide, data continues to experience exponential growth across all industries and sectors. When we compound user-generated data with the explosion of the Internet of Things and sensors in our everyday lives, it’s difficult to wrap our heads around the vast quantities of data being produced.

By 2025, global data volume should reach 175 zettabytes, which will allow us to train AI models to solve very specific problems. 

In the world of wealth management, data strategy has been a part of most firms for the past decade. From investing in cloud platforms, custodial integrations, customer relationship management systems and other software-as-a-service solutions, the amount of proprietary wealth management data has never been greater.

This will accelerate the production of wealth-specific AI solutions, allowing models to be trained in shorter time frames and generate more accurate and personalized results. 

2. New Models Proving to Be a Game Changer

The number of models available for addressing business problems has exploded in the past year alone. Since late 2022, large language models have risen to prominence, with AI offerings like ChatGPT and Bard garnering millions of users.

To date, nearly 16,000 open-sourced models have been uploaded to Huggingface, a leading forum for machine learning developers, and hundreds of new LLMs are being announced every week.

For wealth management firms, this translates to a lower barrier to entry for the development of solutions. Whether it’s through AI-centric wealthtech vendors bringing innovative products to market, or in-house developers building solutions for specific firm needs, the accessibility and potential applications of AI are more widespread than ever. 

3. More Than Just Chatbots

When we talk about AI, chat assistants often steal the headlines. However, the use of “precision AI” in wealth management can deliver stronger results for advisors, specifically by using supervised learning models to solve specific business needs.

When you start with the outcome in mind and use the latest models to tap into proprietary firm data, you’re able to mine this data for correlations and extract valuable, actionable intelligence that drives growth.

At TIFIN, we’re deploying some of these models with larger RIAs and wealth enterprises to help uncover such insights as: Which of your prospects most closely resemble your best clients? Are any of your clients holding a significant portion of their wealth elsewhere that you may be able to consolidate? Are there opportunities for your highest-value clients to generate referrals from within their personal or professional networks?

We’ve only begun to scratch the surface here. 

4. New Revenue Channels for Advisors and Wealth Enterprise Firms

AI is not a back-office technology but can be applied to the challenges facing a chief growth officer. The right model framework can be designed to support growth-focused activities such as lead generation and marketing automation by better scoring leads, prioritizing prospect lists and finding referral opportunities.

This, of course, helps to alleviate some of the burden felt by advisors. What’s more, AI can identify lead opportunities in parallel businesses such as insurance and plan sponsorships to generate efficient, low-cost intercompany lead flows for larger wealth enterprises.

5. Growing Real-World Client Relationships

AI can serve as a co-pilot to the modern wealth manager looking to deliver more personalized advice based on an individual’s financial situation, goals and risk tolerance. It has the ability to synthesize data from multiple inputs and provide both household-specific insights and next-best-action recommendations for advisors to execute as they look to better serve their clients.

Think of it as having a client service intern who is on top of your CRM, client books and records 24/7, standing ready to provide actionable intelligence at a moment’s notice.

6. Better Intelligence on Different Investment Types

Machine learning algorithms can be trained on historical market data and/or proprietary investment data to predict future price movements, responses to macroeconomic trends and more.

One of the most powerful AI aspects is its ability to answer basic questions by using predictive learning from complex data sets to return easy-to-understand answers that may not be apparent to human analysts, leading to more informed investment decisions.

This can prove invaluable when applied to areas like alternative investments or other investment types that advisors or their teams may not have expertise in. As a result, AI creates organic growth opportunities and helps minimize the need to hire full-time employees with dedicated areas of expertise.

7. Enhancing Compliance Management and Next-Best-Action for Portfolio Holdings

AI can assess and quantify risks associated with different investment types, helping investors make informed choices that align with their risk tolerance. It can account for macroeconomic factors, geopolitical events and market sentiment when assessing potential risks.

It can continuously rebalance portfolios to maintain alignment with investment goals. And finally, AI can assist in ensuring compliance with financial regulations by monitoring and reporting on investment activities.

It should be the goal of all wealth managers to look well-informed about their clients’ portfolios.

AI represents the most powerful innovation in the industry’s history for helping advisors save time, better educate themselves and, ultimately, create better wealth outcomes for their clients.


Vinay Nair, Ph.D., is founder and CEO of TIFIN Wealth, a fintech platform that drives personalization for wealth using AI and investment intelligence.

(Image: Adobe Stock) 


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