Should You Trust AI With Your Money? The Financial Industry Bets You Will

Artificial intelligence (AI) is revolutionizing the personal finance sector, with tools like Claude and ChatGPT at the forefront of this transformation. According to a recent McKinsey report, over 33% of consumers across all age groups are turning to these tools for guidance on their investments. In many cases, investors are consulting these AIs even before meeting with their real-life financial advisors.

This trend will accelerate as companies like Anthropic find new ways to integrate AI into financial services. Although the full implications are not yet clear, and there are potential risks, early signs suggest a promising future where financial knowledge is democratized and AI tools complement, rather than replace, money managers.

In 2016, AI-powered 'robo-advisors' attempted to adjust investment portfolios based on age and market conditions. However, these are now considered an incremental feature. The most recent versions of AI financial advisors, trained with powerful LLMs, are different. Robinhood, with 250,000 customers who pay an average of $250 annually to use its Strategies, demonstrates this evolution.

Sam Nordstrom, Robinhood's product manager, points out that earlier AI tools simply assigned customers to one of 20 ETF baskets based on a questionnaire, while the company's new offering can account for many more scenarios. This includes guiding people with most of their wealth tied to stock options or looking to build a portfolio that takes into account their plans to buy a home.

The growing shortage of human financial advisors presents a significant opportunity for AI companies. According to Vlad Golyk, co-author of the McKinsey report, an advisor shortage is looming as fewer people enter the profession and those who remain focus increasingly on the wealthiest investors.

This opens a niche for companies like Robinhood, with its Strategies tool, to target those with incomes between $100,000 and $1 million. Human advisors who stay in the business will also increasingly use AI-driven models, integrating the technology into their practice.

The integration of AI in financial advice is accelerating, as demonstrated by Anthropic's partnership with LPL Financial, which provides wealth management tools to tens of thousands of advisors and financial institutions. This collaboration, along with previous agreements with S&P Global, Morningstar, and PitchBook, allows Anthropic to accumulate valuable data.

This accumulation of data allows Anthropic to create advice tools with advanced capabilities, whose wisdom will be shared by human advisors.

Concern for responsibility and security is growing, as demonstrated by the 'Chatbot Liability Bill' proposed in New York by Senator Kristen Gonzalez. This legislation seeks to create the right to sue AI providers that pose as licensed professionals, including financial advisors.

The law would apply to 'substantive responses' in which a bot presents itself as a financial professional. This legislation is a response to the possibility of AI negatively influencing financial decisions, leading companies like Robinhood to be cautious in the personalization of their tools.

Large financial companies are responding to the emergence of AI in the sector by creating their own improved versions with a focus on compliance. Morgan Stanley, for example, uses AI to analyze client data and offer personalized advice, such as Roth IRA conversions.

Fidelity, for its part, has launched 'Freya,' a tool that answers questions about personal finances, but makes it clear that its answers do not constitute financial advice. These actions reflect the need for balance between innovation and consumer protection in the field of financial AI.

The full potential of AI-powered financial advice will not be evenly distributed among all investors. However, the early days of the financial AI era are already providing unprecedented access to a new range of useful financial tools.

The trend shows a transition towards greater accessibility and personalization in financial advice, although with a cautious approach to responsibility and regulation.