Let Me Start With an Honest Observation
I think AI is genuinely impressive, and I use it in my own practice. But honestly, it concerns me when I see people turning to it blindly for complex financial guidance, and I want to explain why.
People are asking AI some of the most consequential financial questions of their lives. When should I claim Social Security? Should I do a Roth conversion? Is my estate plan structured correctly? They are getting answers in seconds that sound authoritative and complete, with nobody in the room to say wait, that may not apply to your situation.
Think of it like asking a general practitioner to perform your surgery. The knowledge is real. The intention is good. But the stakes are too high and the situation too specific for general knowledge to be sufficient.
Where AI Actually Helps
I want to be fair here because the value is real.
AI is a genuinely useful educational tool. Understanding how a Roth IRA works, what the difference is between a will and a trust, or why Required Minimum Distributions matter are all things AI explains well. I think that kind of accessibility is good for everyone, and honestly, my client conversations are better because people arrive more informed than they used to.
Think of it the way you might use WebMD before a doctor's appointment. It gives you a starting point and a vocabulary. It does not replace the diagnosis. The problem starts when people skip the appointment entirely.
The Missing Link Nobody Talks About
Here is what I find most interesting about this conversation, and what I think gets overlooked.
AI knows a tremendous amount. The problem is not the knowledge. The problem is that AI can only work with what you give it, and most people do not know what to give it. Knowing how to prompt AI effectively requires enough expertise to already understand what matters in your situation. Without that, you get a general answer to a general question and walk away thinking you have real guidance.
We use purpose-built professional AI tools in our practice designed specifically for financial and estate planning within a compliant environment. What I have found is that these tools are genuinely powerful when you know how to direct them. When you do not, they look at situations in a vacuum and miss the things that actually matter.
A real example makes this point better than any explanation could.
In one representative case, we reviewed a trust document drafted by another professional. When we read through the language carefully, we identified a problem with the potential to cost the family well over six figures in completely avoidable estate taxes. The issue involved a trust designed to shelter assets from estate taxes at the first spouse's death that was calibrated to the federal exemption threshold without accounting for the much lower state threshold. The result would have been a significant and entirely preventable tax bill triggered at exactly the wrong moment.
Our professional AI software, which runs documents through multiple analytical frameworks simultaneously, reviewed the same documents and did not flag the issue. When we directed it specifically toward the problem we had already identified, describing the exact language and the state tax implications in detail, it agreed immediately that it was a serious problem.
It only saw it when we told it exactly where to look.
The tools had the knowledge the entire time. What they lacked was the experience to know which question to ask. That came from a human being who had seen this situation before and knew what to look for. Without that, a family would have signed those documents and discovered the problem at the worst possible moment.
This type of issue is not uncommon in estate documents that have not been reviewed in the context of a complete financial picture.
The Confidence Problem
AI is designed to be fluent and confident. It does not say this depends on factors I do not know about your situation. It produces well-organized answers that feel authoritative whether they are precisely right for your circumstances or not.
In my opinion, a confident wrong answer is more dangerous than no answer at all. At least with no answer you know you need to find one.
The Harder Problem
Honestly, there is a deeper issue worth naming.
Even if someone knows they need a real financial advisor rather than an AI tool, figuring out who actually knows what they are talking about is genuinely difficult. Some advisors operating as planners are primarily focused on sales, with planning language wrapped around that process. The consumer does not always know the difference.
So the challenge is layered. AI gives people the feeling of guidance without the substance. And some people who do seek out a human advisor end up in a relationship that is not much better. I believe the answer to both problems is the same. Work with a fiduciary who is genuinely trained in comprehensive financial planning and who takes the time to understand your actual situation before making a single recommendation.
A Closing Thought
If you have been using AI to think through your retirement planning, I am not here to tell you that was a mistake. Staying curious and informed is always the right instinct.
What I would ask you to consider is whether the answers you received were built around your complete financial picture or around a general scenario that resembles your situation on the surface. Roth conversion timing, Social Security strategy, estate document review, withdrawal sequencing. These are not questions with generally correct answers. They are questions where the right answer depends entirely on your specific situation, your goals, and the interaction between decisions that do not always announce their connection to each other.
AI can tell you how estate planning works in general. What it could not do, without being directed by someone with the experience to know where to look, was catch a drafting error that would have cost a real family a significant and preventable tax bill.
That is the job. And no matter how good these tools become, that job still requires a person who knows enough to ask the right questions.