26 Aug AI Retirement Planning: What AI Can and Can’t Do

Can You Trust AI With Your Retirement Planning? What AI Can—and Can’t—Do

You have a retirement question.

Maybe you’re wondering whether you can afford to retire next year.

Maybe you’re trying to decide when to claim Social Security.

Maybe you’re considering a Roth conversion, wondering how much cash you should keep, or trying to determine whether your investment portfolio is taking too much risk.

Not long ago, answering those questions might have meant searching through dozens of websites, reading financial articles, building spreadsheets, or waiting until your next meeting with a financial professional.

Today, you can type the question into an artificial intelligence tool and receive an answer in seconds.

And Americans are increasingly doing exactly that.

A 2026 Barron’s commentary discussing research on artificial intelligence and financial decision-making reported that 55% of Americans surveyed said they had used AI to help manage their finances, compared with 10% the prior year.

That’s an extraordinary change in a very short period of time.

But it raises an important question for anyone approaching retirement:

Can you trust AI with your retirement planning?

The answer isn’t simply yes or no.

AI can be a powerful tool for learning about finances, exploring possibilities, organizing information, and preparing better questions.

But retirement planning involves something AI may not fully capture from a prompt: the context of your life.

AI Is Already Becoming Part of Personal Finance

It’s not difficult to understand why people are turning to AI for financial questions.

It’s fast.

It’s available at almost any hour.

You don’t have to worry about whether your question sounds basic.

You can ask follow-up questions.

You can ask for a complicated concept to be explained more simply.

And you can explore a financial question privately before deciding whether you even want to discuss it with someone else.

For someone approaching retirement, that can be particularly appealing.

Consider how many questions can suddenly become important within a relatively short period of time:

• When can I afford to retire?
• When should I claim Social Security?
• How much can I safely spend?
• Should I pay off my mortgage before I retire?
• Should I convert some of my traditional IRA to a Roth IRA?
• How should my investments change as retirement approaches?
• How much should I keep in cash?
• What will Medicare cost?
• How should I plan for healthcare expenses?
• Will I run out of money?

AI can help someone begin exploring virtually all of those questions.

That can be useful.

But there’s an important difference between getting information about a retirement decision and determining which decision is appropriate for you.

AI Can Be an Excellent Financial Education Tool

Before discussing the limitations, it’s worth acknowledging what AI can do well.

Used thoughtfully, AI can make financial information much more accessible.

Imagine you’ve heard the term “Roth conversion,” but you don’t really understand what it means.

You could ask AI:

“Explain a Roth conversion to me in simple terms.”

Then:

“Why would someone consider doing one after retirement?”

Then:

“What are some potential disadvantages?”

Then:

“What questions should I ask my CPA and financial advisor before deciding?”

In a few minutes, you may understand the conversation much better than you did before.

That’s a valuable use of technology.

Ways AI Can Help With Financial Planning

AI can potentially help you:

• Learn financial terminology;
• Understand basic financial concepts;
• Compare general strategies;
• Generate questions to discuss with your financial professionals;
• Organize financial information;
• Explore hypothetical scenarios;
• Create lists of considerations you may have overlooked;
• Explain complicated concepts in simpler language; and
• Help you prepare for a financial-planning meeting.

That last use may be particularly valuable.

If AI helps you arrive at a meeting with better questions, a clearer understanding of terminology, and a stronger sense of what you’re worried about, it may help make the conversation with your financial professional more productive.

In other words, using AI doesn’t necessarily have to replace financial planning.

It can help you participate more actively in it.

But Financial Education and Financial Advice Aren’t the Same Thing

This is where the distinction becomes important.

Consider the question:

“Should I claim Social Security at age 62?”

An AI tool can explain the general consequences of claiming early.

It can discuss how claiming before full retirement age generally affects monthly benefits.

It can explain delayed retirement credits.

It can help you understand concepts such as breakeven ages and spousal benefits.

That’s information.

But determining what you should actually do may require considerably more context.

A financial professional might want to know:

• Are you still working?
• Are you married?
• What is your spouse’s Social Security benefit?
• What other income will you have?
• What assets are available to fund the years before claiming?
• What are your spending needs?
• How might withdrawals affect your taxes?
• Are you planning Roth conversions?
• How important is leaving an estate?
• What assumptions are being made about longevity?
• How comfortable are you spending portfolio assets while delaying Social Security?

The original question was only nine words.

The decision behind it may involve your entire retirement plan.

The Problem Isn’t Always the Answer—It’s the Missing Context

AI responds to the information it has.

That sounds obvious, but it’s one of the most important things to remember when using AI for financial questions.

If important information isn’t included in your prompt—or isn’t available to the system—the answer may be based on an incomplete picture.

Imagine asking:

“I have $1.5 million saved. Can I retire?”

That number alone doesn’t tell us very much.

How much do you spend?

How old are you?

Is the $1.5 million in a traditional IRA, Roth accounts, taxable investments, cash, or some combination?

Do you have a pension?

When will you claim Social Security?

Do you still have a mortgage?

What will you do for health insurance if you’re retiring before Medicare eligibility?

Are you supporting anyone else?

Are large expenses coming?

What happens if markets decline shortly after you retire?

Two people could both have $1.5 million invested and receive very different answers to the question:

“Can I retire?”

The account balance is important.

The context determines what that balance needs to accomplish.

Retirement Decisions Rarely Happen in Isolation

This may be one of the biggest differences between answering a financial question and building a financial plan.

Retirement decisions are connected.

Suppose you’re considering retiring at age 62.

That one decision could raise several others:

Social Security: Do you claim immediately or use other assets while delaying benefits?

Healthcare: How will you cover insurance and medical expenses until Medicare eligibility?

Taxes: Could the years between retirement and required distributions create tax-planning opportunities?

Investments: How much money will need to come from the portfolio, and how should that affect the way it is invested?

Cash: How much should remain readily available for near-term spending?

Roth conversions: Would converting some tax-deferred assets potentially fit within the plan, and what could that do to current taxes?

Spending: What happens if retirement expenses are higher than expected?

Estate planning: Does the strategy align with what you eventually want to leave to family or charity?

AI may be able to discuss each topic individually.

The harder task is determining how changing one piece affects all the others.

A Roth Conversion Is a Good Example

Ask an AI tool whether Roth conversions can be useful in retirement, and it can explain many of the potential benefits and drawbacks.

But imagine an individual asks:

“Should I convert $100,000 of my IRA to a Roth this year?”

Before reaching a conclusion, there may be many things to evaluate.

A conversion can increase taxable income in the year it’s completed.

That additional income may interact with the individual’s tax situation and potentially affect other income-based calculations or costs.

The individual also needs money to pay any resulting tax.

Then there are longer-term questions.

What might future taxable income look like?

What other accounts are available?

What is the purpose of the Roth assets?

What are the individual’s estate-planning objectives?

Would converting $25,000, $50,000, $100,000—or nothing—better fit the overall plan?

The question isn’t merely:

“Are Roth conversions good?”

It’s:

“Does a Roth conversion make sense for this person, in this amount, in this year, given everything else happening in the financial plan?”

AI Can Give You More Options—But More Options Aren’t Always Better

The Barron’s commentary that inspired this article raises another interesting issue: the sheer number of answers AI can generate.

Ask how to create retirement income and you may quickly find yourself considering several different withdrawal strategies.

Ask when to claim Social Security and you can explore numerous claiming ages and combinations.

Ask how to invest in retirement and the possibilities expand again.

Having choices can be helpful.

Having too many choices can also make it harder to make a decision.

This is especially true when several alternatives appear reasonable.

Imagine that AI generates five retirement strategies for you.

Strategy A potentially produces more lifetime income under one set of assumptions.

Strategy B provides more income earlier.

Strategy C keeps more money liquid.

Strategy D potentially reduces taxes under certain assumptions.

Strategy E leaves more assets invested.

Which one is “best”?

There may not be a universally correct answer.

The real decision may depend on what you value most.

The Retirement Question AI Can’t Answer With a Formula

Eventually, many financial decisions reach a point where the question isn’t purely mathematical.

It becomes:

“Which tradeoffs am I willing to live with?”

Consider two people who could both financially afford to retire.

One may prefer to work another year because having a larger financial cushion helps them feel comfortable.

The other may willingly accept a tighter retirement budget because spending more time with family now matters more than accumulating additional savings.

A financial model can illustrate the potential consequences of each choice.

It can’t determine which life the individual should prefer.

That’s where retirement planning becomes about more than maximizing an equation.

It becomes a conversation about priorities.

More Information Doesn’t Always Create More Confidence

People approaching retirement have access to more financial information than previous generations could have imagined.

Yet having more information doesn’t automatically make major decisions feel easier.

Sometimes it creates another question:

“What if I choose the wrong option?”

That fear can be particularly powerful around retirement because many decisions feel more consequential than they did earlier in life.

Should I retire now?

Should I work longer?

Should I claim Social Security?

Should I spend from my IRA or taxable investments first?

Should I reduce investment risk?

Should I pay off the house?

AI can generate more information about each choice.

But information alone may not resolve the uncertainty.

Sometimes the real challenge isn’t understanding the available options.

It’s becoming comfortable enough with the tradeoffs to make a decision.

And That’s Where the Human Side of Retirement Planning Matters

A retirement plan isn’t just a collection of calculations.

It’s a plan for how someone intends to live.

Numbers are essential.

So are the questions that don’t fit neatly into a spreadsheet.

What are you looking forward to?

What worries you?

What would make retirement feel successful?

What are you unwilling to give up?

Who else depends on you?

What would cause you to lose sleep?

What would you regret not doing while you had the opportunity?

Those answers can change how a financial plan is designed.

And they lead us to another important issue with using AI for retirement decisions:

What happens when the technology gives us an answer that confirms what we already wanted to believe?

We’ll tackle that next, along with ways to use AI more safely for financial questions, what information you should think twice about entering into an AI platform, how to challenge an AI-generated recommendation, and why bringing your AI questions to a financial advisor may actually be one of the most useful ways to use the technology.

What Happens When AI Tells You What You Want to Hear?

Imagine you’re nervous about the stock market and already leaning toward selling a significant portion of your investments.

You ask an AI tool:

“With everything happening in the market, isn’t it safer to move my retirement portfolio to cash?”

Notice how the question is framed.

You’ve already suggested the conclusion.

Depending on the tool, prompt, information provided, and response, AI may spend more time explaining why your proposed action could make sense than challenging the assumptions behind it.

That’s potentially important because people don’t always approach financial decisions as neutral observers.

We have fears, preferences, previous experiences, and ideas about what we think should happen next.

Sometimes we’re looking for information.

Sometimes, without realizing it, we’re looking for confirmation.

Confirmation Bias Didn’t Begin With Artificial Intelligence

This isn’t uniquely an AI problem.

Confirmation bias—the tendency to favor information that supports what we already believe—has always been part of financial decision-making.

An investor convinced that a market decline is coming can find articles supporting that view.

Someone who believes a particular investment is going to soar can search until they find someone making the same argument.

AI simply gives us another—and extraordinarily convenient—way to explore our existing beliefs.

That’s why the way you ask a financial question matters.

Instead of asking:

“Why should I move my retirement money to cash before the market falls?”

try asking:

“What are the potential benefits and risks of moving a significant portion of a retirement portfolio to cash?”

Then go one step further:

“What arguments would someone make against this decision?”

And then:

“What information about my financial situation would you need before this decision could be evaluated appropriately?”

Those questions don’t guarantee a correct answer.

But they can encourage a more balanced discussion.

Don’t Ask AI Only to Support Your Decision—Ask It to Challenge You

One of the most useful ways to use AI may be to deliberately ask it to identify what you could be missing.

If you’re considering a major retirement decision, try questions such as:

• What assumptions am I making?
• What could make this strategy unsuccessful?
• What are the strongest arguments against this approach?
• What other alternatives should I consider?
• What information have I not provided that could materially change the answer?
• What tax consequences should I investigate?
• What risks might I be overlooking?
• Which parts of your answer should I independently verify?
• What questions should I take to my financial advisor, CPA, or attorney?

That changes AI from something that simply gives you an answer into something that can help you develop better questions.

And in financial planning, the quality of the questions often matters as much as the speed of the answer.

AI Can Sound Confident Even When an Answer Needs Verification

There’s another important issue to understand before relying on AI for a financial decision.

A confident-sounding answer isn’t the same thing as a verified answer.

Generative AI systems can sometimes produce information that is incomplete, outdated, misinterpreted, or incorrect.

That matters in personal finance because many rules change over time.

Tax brackets change.

Retirement-plan contribution limits change.

Social Security figures change.

Medicare premiums and income-related surcharges can change.

Required minimum distribution rules have changed over the years.

Estate and gift-tax provisions can change.

And the answer to a tax or legal question can depend on details that aren’t obvious from a short prompt.

An AI-generated response may be a useful starting point.

For an important financial decision, it shouldn’t automatically be treated as the final authority.

Verify Important Financial Information Before You Act

If an AI answer could materially affect your taxes, retirement income, healthcare, investments, estate, or another major financial decision, consider verifying the underlying information before acting.

Depending on the subject, that could mean reviewing information from sources such as:

• The Social Security Administration;
• The Internal Revenue Service;
• Medicare;
• Your retirement-plan administrator;
• Your insurance carrier;
• Your employer or benefits department; or
• Qualified financial, tax, accounting, insurance, or legal professionals.

You can also ask the AI tool to identify the source of a rule or assumption, but you should still confirm that the source is current and actually supports the statement being made.

This becomes particularly important when the decision is difficult or impossible to reverse.

Be Careful About the Financial Information You Give an AI Tool

Getting a more personalized AI response often requires providing more information.

But that creates another consideration:

How much personal financial information should you put into an AI platform?

Before sharing sensitive information with any online service, understand the platform’s privacy and data-use policies and consider whether the information is actually necessary for the question you’re asking.

Avoid unnecessarily entering information such as:

• Social Security numbers;
• Bank account numbers;
• Credit or debit card numbers;
• Passwords or login credentials;
• Complete tax returns containing identifying information;
• Account statements containing sensitive account information; or
• Other information that could expose you to identity theft or financial fraud if compromised.

Often, a useful educational conversation doesn’t require identifying information at all.

For example, instead of uploading an entire tax return, you may be able to ask a general question about how a particular tax concept works.

When sensitive financial information is involved, privacy and cybersecurity should be part of the decision about which tools you use and what you share with them.

How to Use AI for Retirement Planning More Thoughtfully

AI doesn’t have to be either your financial advisor or something you avoid completely.

There is a useful middle ground.

Consider these guidelines when using AI to explore retirement and financial questions:

1. Use AI to Learn

Ask it to explain concepts, define terminology, compare general approaches, and help you understand subjects you want to discuss further.

2. Tell It What You Don’t Understand

If an explanation is too technical, ask for a simpler version.

If you don’t understand a term, ask for an example.

One advantage of AI is that you can continue asking questions until the concept becomes clearer.

3. Ask What Assumptions It’s Making

An answer may depend heavily on assumptions about taxes, investment returns, inflation, longevity, spending, or other variables.

Ask the tool to state those assumptions explicitly.

4. Ask for the Opposing View

If AI recommends—or appears to favor—one approach, ask it to make the strongest case for doing something different.

5. Ask What Information Is Missing

This may be one of the most valuable prompts you can use:

“What additional information would you need before this could become an individualized decision?”

The answer may reveal how much context the original question left out.

6. Verify Important Facts

Check current rules, limits, deadlines, tax provisions, Social Security information, Medicare information, and other consequential details with authoritative sources or qualified professionals.

7. Protect Your Personal Information

Don’t provide sensitive financial or identifying information simply because a tool asks for more detail.

8. Bring the Conversation to Your Financial Professional

If AI generated an idea you find interesting, you don’t have to hide the fact that you used it.

Bring the question with you.

Bring the strategy.

Bring the answer that confused you.

Bring the scenario that made you wonder whether your existing plan should change.

It can become the beginning of a useful financial-planning conversation.

What Should You Ask AI Before Acting on a Financial Answer?

Here’s a simple checklist worth saving.

• ☐ What assumptions are you making?
• ☐ What information about me is missing?
• ☐ What are the risks of this strategy?
• ☐ What are the strongest arguments against it?
• ☐ What alternatives should I consider?
• ☐ What could cause this strategy to produce a different result than expected?
• ☐ Are any of the rules or figures in this answer subject to change?
• ☐ Which facts should I verify with an authoritative source?
• ☐ Could this decision affect my taxes, Medicare, Social Security, investments, estate plan, or another part of my finances?
• ☐ Which questions should I discuss with my financial, tax, or legal professionals before acting?

The purpose of these questions isn’t to make AI useless.

It’s the opposite.

They can help you use it more thoughtfully.

AI and Financial Advisors Don’t Have to Be Competitors

The conversation around artificial intelligence is often framed as a competition:

Will AI replace financial advisors?

For consumers, that may not be the most useful question.

A better question might be:

“Which tool is useful for which job?”

AI can be particularly useful for quickly exploring information, learning terminology, generating scenarios, organizing thoughts, and helping someone develop questions.

A financial advisor can potentially help evaluate those questions within the context of the client’s broader financial life.

That may include information about the client’s goals, family, spending, assets, taxes, risk tolerance, previous decisions, concerns, and priorities.

And importantly, a human professional can ask:

“Why?”

Why do you want to retire this year?

Why does carrying the mortgage bother you?

Why are you uncomfortable spending from your portfolio?

Why are you suddenly considering changing your investments?

Why is leaving money to your children important to you?

The financial calculation may tell us what is possible.

The conversation can help determine what actually matters.

A Financial Advisor Should Challenge Your Assumptions, Too

Human advice isn’t valuable merely because it comes from a human.

A productive advisory relationship should involve more than simply agreeing with what a client already wants to do.

A financial professional may sometimes need to ask uncomfortable questions, identify risks, explain tradeoffs, or point out when a proposed decision conflicts with the client’s stated goals.

That could mean asking whether a client really needs to change investments after a market decline.

It could mean explaining why retiring earlier would require reducing spending.

It could mean questioning whether a large gift to an adult child could affect the parent’s own retirement security.

Or it could mean acknowledging that several reasonable choices exist and helping the client understand the consequences of each one.

Good financial planning isn’t about finding someone—or something—that always agrees with you.

It’s about improving the quality of the decision.

Bring Your AI Answers to Your Financial Advisor

Suppose you spend an evening using AI to explore Social Security claiming strategies.

You don’t need to throw that work away when you meet with an advisor.

Bring it.

You might say:

“I asked AI whether I should delay Social Security until 70. It gave me these three reasons. How does that compare with what we’re doing in my plan?”

That’s a useful conversation.

Or:

“AI suggested I consider Roth conversions during the first few years of retirement. Is that something we should model?”

Also useful.

Or even:

“I asked AI whether I have enough to retire, and its answer made me more nervous. Can we go through the assumptions?”

That may reveal the actual concern better than a generic question about investment performance ever could.

AI can help you discover what you want to ask.

A planning conversation can help put those questions into context.

AI May Help You Ask Better Questions About Retirement

That may ultimately be one of AI’s most useful roles in personal finance.

Not necessarily providing the final answer.

Helping you find the question.

Someone who has never understood required minimum distributions can learn enough to ask how they fit into a retirement-income plan.

Someone worried about Social Security can explore the basics before discussing a claiming strategy.

A business owner can learn what a succession plan involves before beginning the planning process.

A retiree can learn why Roth conversions are discussed without assuming that a conversion is automatically appropriate.

Financial education can make people better participants in their own planning.

That’s a positive development.

Retirement Planning Is About More Than Getting the “Right” Answer

People often approach retirement planning as though somewhere there is one perfect answer waiting to be discovered.

The perfect retirement age.

The perfect Social Security claiming date.

The perfect withdrawal strategy.

The perfect investment allocation.

The perfect amount of cash.

Real life is usually more complicated.

Financial planning often involves choosing among several reasonable alternatives, each with different risks and tradeoffs.

You may be able to retire at 62 but have greater financial flexibility if you work until 65.

You may be able to delay Social Security but prefer the certainty of receiving income sooner.

You may mathematically benefit from keeping a mortgage but value entering retirement without the monthly payment.

You may be able to spend more but prefer leaving a larger financial legacy.

Those aren’t simply math problems.

They’re decisions about what you value.

The Bottom Line: Use AI as a Tool, Not as Your Entire Retirement Plan

Artificial intelligence can be an extraordinarily useful financial-education tool.

It can explain.

It can compare.

It can model.

It can organize.

It can help you discover questions you didn’t know you should be asking.

But the speed and confidence of an answer shouldn’t be confused with certainty.

Retirement decisions can involve taxes, investments, Social Security, healthcare, cash flow, estate planning, family circumstances, risk, personal preferences, and goals.

And many of those decisions affect one another.

So go ahead and ask AI questions about retirement.

Ask a lot of them.

Then ask it what it might be missing.

Ask it to challenge its own answer.

Verify the important facts.

And before making a consequential financial decision, consider whether the answer needs something a prompt may not fully provide:

Your complete financial context.

Have You Been Asking AI Questions About Your Retirement?

If you’ve used AI to explore Social Security, Roth conversions, retirement income, investments, taxes, or whether you’re financially prepared to retire, those questions can be a useful starting point for a broader planning conversation.

At Nova Wealth Management, we help individuals and families evaluate retirement decisions in the context of their broader financial lives—including investments, income needs, taxes, cash flow, risk, and long-term goals.

You don’t have to choose between using technology and working with a financial professional.

Bring us the questions you’ve been asking AI.

We can help you examine the assumptions, consider the tradeoffs, and evaluate how the ideas fit within your overall financial plan.

If you’d like to start that conversation, Schedule a Meeting with our team.

Toll-Free: (888) 677-9910

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This article was developed using concepts discussed in an August 25, 2026 Barron’s commentary by Michael Liersch regarding artificial intelligence, financial anxiety, and retirement decision-making. Nova Wealth Management has expanded upon the topic for educational purposes. The views expressed in the original commentary are those of its author and do not necessarily reflect the views of Nova Wealth Management.

Disclosure: Nova Wealth Management, Inc. is a Registered Investment Advisor. This material is provided for general educational and informational purposes only and should not be construed as personalized investment, tax, accounting, or legal advice. Artificial intelligence tools can produce incomplete, outdated, or inaccurate information, and AI-generated content should not be relied upon as the sole basis for financial decisions. Any examples are hypothetical and are provided for illustrative purposes only. Financial decisions should be evaluated based on an individual’s unique circumstances, objectives, risk tolerance, and financial situation. Consult qualified financial, tax, accounting, and legal professionals as appropriate. Investing involves risk, including the potential loss of principal. Past performance is not indicative of future results.