Artificial intelligence is changing how we live, work and manage money.
People are using AI to create budgets, compare investments, estimate retirement needs, prepare taxes and even ask whether they can afford to buy a house. It is available 24 hours a day, never gets tired and responds in seconds.
Sounds like the perfect financial adviser, right? Not so fast.
A recent study published in the Journal of Financial Planning tested seven popular AI platforms—including ChatGPT, Claude, Copilot, Gemini, DeepSeek, Meta AI and Perplexity—using real-life personal finance questions.
Researchers found that the advice was inconsistent, sometimes biased and, in some cases, flat-out wrong.
That should make every consumer pump the brakes before trusting AI with major financial decisions.

As a financial planner, money coach and tax professional, I use AI regularly. It is a powerful productivity tool that can organize information, generate ideas, summarize reports and simplify complicated topics.
But here is what I tell people: AI is a tool—not the real deal.
AI Doesn’t Know You
The biggest weakness of artificial intelligence is not that it lacks information. It is that it lacks understanding.
There is an old saying from when computers first became popular: “Garbage in, garbage out.”
It means a computer can only process the information it is given. If the data going into the system is incomplete, inaccurate or garbage, the result coming out may be garbage, too. The same thing applies to AI.
AI processes information based on the prompt you give it. The problem is you don’t know what you don’t know.
You may ask a question based on your limited knowledge and understanding. AI will then provide an answer based primarily on the information contained in your prompt.
It may answer the part without understanding how that part affects the whole—your complete financial situation.
For example, you might ask AI: “How much should I save for retirement?”
AI will give you an answer. It may calculate a savings goal using your age, income and expected retirement date. The response may sound detailed, intelligent and convincing.
But what information did you leave out?
Maybe you have a pension. Maybe your home will be paid off before you retire. Maybe you plan to move to a state with a higher cost of living. Maybe you expect to care for your grandchildren. Maybe you have a child with special needs who will continue depending on you financially. Maybe you plan to work part-time during retirement, sell a business or receive an inheritance.
Every one of those variables could completely change the recommendation. That is the danger.
AI doesn’t know your financial history, goals, fears, family responsibilities, health concerns, personal values or risk tolerance unless you explain them. Even then, it can misunderstand your circumstances or overlook a critical detail.
Financial planning is not about solving one isolated problem. It is about understanding how all the pieces work together.
The Same Question Produced Different Answers
Researchers asked each AI platform identical questions about emergency savings, retirement withdrawals and investment allocation.
Instead of reaching similar conclusions, the programs produced significantly different recommendations.
Imagine asking seven financial professionals the exact same question and receiving seven different answers. Which one do you trust?
The result often depended less on the consumer’s financial situation and more on which chatbot happened to answer the question. That is not the consistency people should expect when making life-changing financial decisions.
The Bias Nobody Expected
Perhaps the most troubling finding came when researchers changed only one variable.
The income stayed the same. The debt stayed the same. The savings stayed the same. The goals stayed the same. The only thing that changed was the person’s race or gender.
Some AI platforms gave women and Black households different emergency savings or investment recommendations than White male households with identical financial profiles. Think about that.
Same numbers. Different advice.
Over several decades, small differences in investment recommendations can produce major differences in wealth accumulation.
Technology learns from information created by humans. If the data used to train AI contains outdated assumptions, incomplete history or human bias, those weaknesses can show up in its answers. Computers are not automatically objective simply because they run on code.
Confidence Isn’t Competence
One reason AI can be convincing is because it sounds confident.
It can produce a polished, professional answer in seconds. It may use detailed explanations, financial terminology and language that sounds authoritative.
But sounding smart is not the same as being right.
AI can present outdated information, overlook exceptions or invent details while sounding completely confident.
That becomes dangerous when people ask whether they should claim Social Security early, refinance a mortgage, convert an IRA, borrow from a 401(k), cash out a pension or file taxes jointly or separately.
These decisions cannot be answered properly with a generic rule. Miss one important variable and the recommendation can change completely.
AI Has No Fiduciary Duty
There is another major difference between AI and a qualified financial professional:
Accountability.
Some financial advisers operate under a fiduciary standard, meaning they are required to act in their clients’ best interests. Qualified professionals can also be held accountable for negligent or improper advice.
AI has no such responsibility.
If a chatbot gives you bad advice and you lose $50,000, it will not sit across the table and help you rebuild. It will not lose a professional license. It will not face your family. It will not accept responsibility.
AI has no skin in the game.
Financial planning is not simply about producing an answer. It is about understanding the consequences of that answer.
Where AI Shines
Let us be fair. AI does many things extremely well.
It can explain financial concepts in plain English, summarize lengthy reports, generate budgeting worksheets, compare financial terms and help you prepare thoughtful questions before meeting with a financial professional.
That is exactly how consumers should use it.
Think of AI like GPS. GPS can help you navigate, but it does not decide your destination. Sometimes it even sends you down the wrong road. You still have to pay attention and remain responsible for driving.
Use AI to Learn—Not to Decide
Use AI to improve your financial literacy. Ask it to explain compound interest. Learn the difference between a Roth IRA and Traditional IRA. Understand how credit scores work. Practice creating a budget. Generate questions to ask your financial planner, tax professional, accountant or attorney.
But when it is time to make major decisions involving retirement, taxes, investments, insurance, debt or estate planning, verify the information and consult someone who understands your complete financial picture. Information without verification can become financial devastation.
The Bottom Line
Artificial intelligence is here to stay, and it will continue getting better. I believe AI will become one of the most valuable financial tools consumers have ever had.
But notice the word I used. Tool.
Not adviser.
Not planner.
Not fiduciary.
Not decision-maker.
Technology can calculate numbers, organize information and generate possibilities.
It cannot replace wisdom, experience, accountability or personalized financial planning.
Use AI to research. Use AI to brainstorm. Use AI to become a smarter consumer. Then consult a qualified professional before making decisions that could affect your retirement, your children and your family’s legacy.
Your financial future deserves more than a confident answer from a chatbot. It deserves a sound financial plan.
(Damon Carr, Money Coach & Tax Pro can be reached at 412-216-1013 or visit his website at www.damonmoneycoach.com)
Helping you flip your finances from stressed to blessed—one smart decision at a time.


