AI Financial Advisors Are Getting a Lot of Attention. Here’s What They Still Can’t Do.
I’ve talked about AI with enough people to know that the conversation always ends up in the same place: “So does that mean I don’t need a financial advisor anymore?”
It’s a fair question. The tools are impressive. You can open an account with a robo-advisor in minutes, get an algorithmically built portfolio based on your age and income, and pay almost nothing in fees. On paper, it sounds like a better deal. So why wouldn’t you?
Here’s my honest answer: because investing is a skill, and the most important part of that skill is something no algorithm has figured out yet. At Freedom Capital Advisors, a Florida-registered investment adviser, we’ve watched this conversation play out with clients for years. The answer always comes back to the same thing: judgment.
Risk Management Is Not a Formula
When most people think about risk in investing, they picture a questionnaire. How old are you? When do you need the money? How would you feel if your portfolio dropped 20%? That information gets fed into a model, and out comes a portfolio with some mix of stocks and bonds.
That’s risk quantification. It’s not risk management.
Real risk management is something different. It requires you to look at a market that has been going up for years, with fundamentals that are stretched and valuations that are hard to justify, and make a judgment call about whether the reward is worth it. It requires patience. It requires the willingness to look wrong for a long time while everyone else is celebrating gains you chose not to chase.
That is not something an algorithm can do. And frankly, it’s something most human advisors don’t do well either. That’s what makes a genuinely good money manager hard to find.
The Noise Problem
Here’s something people outside this industry don’t fully appreciate: there is an overwhelming amount of financial information out there, and a significant portion of it contradicts itself. Research reports, market commentary, economic forecasts, earnings analysis. There is always a credible-sounding argument for both sides of any trade.
A lot of that information also has a motivation behind it. Banks, brokerages, and media companies all have interests that don’t always align with yours. Learning to identify what’s legitimate analysis versus what’s noise designed to generate clicks or trading volume takes years of practice and a perspective that’s genuinely independent.
AI doesn’t have that. It processes information without being able to evaluate the motivation behind it.
What Ron Brings That a Computer Never Will
My father, Ron McCoy, has been in this business for over 40 years. He has managed money through market cycles that most advisors today have only read about. He has watched bubbles build and collapse, seen consensus opinion proven catastrophically wrong, and learned when to hold a position that looks uncomfortable because the underlying analysis still holds.
That kind of judgment isn’t something you develop after a few years of reading market data. It’s trained over decades of being in the room when the decisions matter. It’s the ability to sit across from a client during a volatile stretch and explain, with genuine conviction, why the plan still makes sense and what the risk picture actually looks like.
Ron has also stayed independent through all of it. He’s never worked inside a big firm where the product recommendations came from the home office. That independence shapes how he reads information and how he filters it, and it’s something that can’t be replicated by a model trained on the same data everyone else uses.
Where AI Actually Helps
I want to be fair here. AI has real value in financial services. It can process large amounts of data quickly, identify patterns, automate reporting, and reduce costs on routine tasks. We use technology in our own practice and it makes us more efficient.
But efficiency and judgment are different things. The part of this job that actually protects your wealth, the part that requires reading a market environment clearly, managing positions through uncertainty, and making calls that aren’t obvious until years later, that’s still a human skill. It takes experience to do it well. And right now, experience is not something you can train into a model.
The Real Question
The question isn’t whether AI financial advisors are good or bad. Some robo-advisor tools are perfectly fine for simple, long-horizon investing with consistent contributions. If that’s your situation, they can work.
The question is what you need your advisor to actually do. If your financial life is complex, if you’re approaching retirement, managing a concentrated position, navigating a business sale, or simply want someone paying close attention to the risk side of your portfolio, an algorithm isn’t the right tool.
You need someone who has seen what markets look like when things go wrong, and who has the experience to act on that before it becomes obvious to everyone else.
That’s what we do at Freedom Capital Advisors. And it’s not something we’re worried about being replaced by.
If you’d like to talk about what active, relationship-based portfolio management actually looks like for your situation, we’d love to start that conversation at freedomcapitaladvisors.com.
Frequently Asked Questions
Can an AI financial advisor replace a human financial advisor?
For simple, long-horizon investing with consistent contributions, robo-advisors can be a reasonable tool. Where they fall short is anything requiring judgment: reading a stretched market, managing positions through uncertainty, or adapting when conditions shift in ways the model wasn’t trained to handle. The more complex your financial situation, the wider that gap gets.
What is the difference between a robo-advisor and a fiduciary financial advisor?
A robo-advisor allocates your portfolio based on a questionnaire and rebalances it automatically. A fiduciary financial advisor is legally required to act in your best interest, actively manages positions based on current market conditions, and provides individualized guidance that adjusts as your life changes. The distinction matters most when markets are stressed or your situation doesn’t fit a template.
What can’t AI do in financial planning?
AI can process data quickly, identify patterns, and automate routine tasks. What it cannot do is evaluate the motivation behind financial information, exercise the patience required to hold an uncomfortable position when the analysis still holds, or sit across from a client in a volatile market and explain with genuine conviction why the plan still makes sense. Those require experience and independent judgment.
How does an independent financial advisor differ from one at a large firm?
An advisor at a large firm often makes recommendations from a menu of in-house products, with compensation structures that influence what they suggest. An independent, fee-only fiduciary has no product shelf to sell from. Every recommendation has to stand on its own merits, which is a fundamentally different decision-making environment.
When does it make sense to work with an active portfolio manager instead of a robo-advisor?
If your financial life involves complexity (approaching retirement, a business sale, a concentrated stock position, or simply wanting someone actively monitoring risk), a robo-advisor isn’t designed for that. It maintains an allocation. An active manager evaluates whether that allocation still makes sense given what’s happening in the market right now.
Logan McCoy
Logan McCoy is an Investment Adviser Representative from Northeast Georgia, where he joined his father Ron to help bring Freedom Capital Advisors into its next chapter. Freedom Capital Advisors is an independent, fiduciary wealth management firm serving clients across the Southeast and nationwide. Logan focuses on retirement income planning, tax strategy, and helping business owners and retirees build portfolios that work in any market environment. He is also a financial literacy advocate for the next generation.
