Artificial intelligence and other technology, along with the growing number of freelance workers participating in today's gig economy, offer opportunities for advisors to better serve their clients and increase their sales, according to Fidelity Institutional executives.
AI stands to "transform" wealth management, Andrew Brzezinski, vice president at Fidelity Institutional, said Thursday at the Fidelity Inside Track conference in New York. AI, for one thing, can be used to "tap into" a lot of data including useful information that investors are willing to share with advisors, he said.
"The big question for this room is not if AI will transform wealth management, but how?" he told attendees, citing data from a white paper by the Boston Consulting Group saying the technology can increase by 15-30% top-line revenue growth from improvements in sales, relationship management and client experience. The data also showed firms made 10-15% efficiency gains from improvements in operations, risk and service costs from AI and also saw an overall 10 basis-point increase in assets under management from it, he said.
That can go a long way toward making up for the "headwinds" the wealth management industry is facing from issues including regulations and digital disruption that stand to impact revenue growth, he said. Who will win in this environment are the firms that "deliver highly personalized services" by deploying AI solutions made possible by the insights made possible from all the data being collected, he told attendees.
"These are the gains that we can aim for," he said, noting Fidelity is investing in AI in a few ways, including the Insights + Analytics product that it's piloting now. In announcing that last year, the firm said "one of the first tools that Consolidated Data from Fidelity will fuel is Insights + Analytics, an offering which explores how quantitative techniques, including artificial intelligence, machine learning, and predictive analytics, can help advisors save time, grow their businesses and enhance their relationships with clients." The first "custom-built solution within Insights + Analytics will be a set of book analytics capabilities, developed closely with client feedback and Fidelity practice management expertise to create a 'story-based' interface that helps advisors answer real business questions," it said at the time.
Brzezinski cited one use case of that, saying it's possible to "predict investor money movement by applying machine learning to a large historical dataset of account activity across millions of investors." He noted the technology can be used to track normal money flows, along with unexpected incidents that have an impact on investors
But for AI to truly understand an investor, it's important to "augment" financial data with personal and household information, including life events and hobby details, he said.
AI can also be used to enhance the various tasks that advisors in the industry normally do, including to try to change behavior and get better outcomes—possibly even retain talent, he said. The technology can be used in digital assistants to generate sales leads and also to help asset managers prioritize their time and better target decision makers, as well as predict how and when to trade, he noted.