---
title: AI Is Changing the Financial World. Here’s What That Means for You
description: AI is reshaping banking, investing, fraud prevention, and financial advice. Learn where AI can help and why human judgment still matters.
image: https://blog.designfinancialgroup.com/hubfs/AI%20Is%20Changing%20Finance.png
---

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# AI Is Changing the Financial World. Here’s What That Means for You

![Richard Shupick](https://blog.designfinancialgroup.com/hs-fs/hubfs/Rich_Shupick_0073.jpg?width=48&height=48&name=Rich_Shupick_0073.jpg)

 Richard Shupick

September 28, 2026

Imagine opening your banking app with a question about an unfamiliar transaction. Within seconds, software identifies the charge, explains what it appears to be, and points you toward the next step. At the same time, another system may be reviewing millions of transactions for signs of fraud while still another helps a financial professional analyze information that once required hours of manual work.

Artificial intelligence is no longer a technology waiting somewhere in the future. It is already becoming part of banking, investing, cybersecurity, lending, customer service, and financial research.

For consumers, that creates both opportunity and responsibility. AI can process enormous amounts of information quickly, but processing information is not the same as understanding your life. Knowing where technology helps and where human judgment still matters may become an increasingly important financial skill.

## **You May Already Be Using AI**

When people hear artificial intelligence, they often think of conversational tools such as ChatGPT. Financial institutions, however, have been using automated analytical systems behind the scenes for years.

Banks can use sophisticated technology to identify unusual transactions, evaluate risk, strengthen cybersecurity, assist employees with research, and handle routine customer questions. Federal Reserve officials have also been examining how AI may improve efficiency, cybersecurity, risk management, and access to financial services.

Customer service offers one of the clearest examples. The Consumer Financial Protection Bureau has documented widespread use of chatbots among major banks. These systems can be convenient for simple requests, but the CFPB has also cautioned that automated systems can become less effective as customer problems grow more complicated.

That distinction matters. Finding a checking account balance is very different from deciding when to retire, how much income a portfolio may need to provide, or whether money should be withdrawn from a retirement account.

## **AI Can Make Financial Information Easier to Understand**

Consider Mark and Susan, a hypothetical couple approaching retirement. Between them, they have retirement accounts from several employers, a pension decision, Social Security choices, insurance questions, and decades of financial records.

Not long ago, simply gathering and organizing that information could consume significant time. New technology can increasingly sort data, identify patterns, summarize documents, compare assumptions, and help organize complicated financial information.

Consumers can benefit as well. Someone trying to understand the difference between a traditional IRA and a Roth IRA can receive a plain language explanation within seconds. Another person comparing mortgages can ask what points, amortization, or closing costs mean before meeting with a lender.

## **A Confident Answer Can Still Be Wrong**

The challenge is that AI systems can produce remarkably convincing answers even when the underlying information is incomplete or incorrect.

The SEC, FINRA, and state securities regulators have warned investors that AI generated information can be inaccurate, incomplete, outdated, or misleading. Regulators have specifically cautioned consumers against relying solely on AI generated information when making investment decisions.

Suppose an AI tool evaluates an investment without knowing about a person's pension, emergency savings, insurance coverage, other investments, family obligations, or comfort with market declines. The analysis may sound sophisticated while overlooking factors that could materially change the decision.

That is one reason context remains so important. A decision involving one account can affect retirement income, health care costs, estate considerations, and other parts of a household's finances.

AI can analyze information. The harder question is whether it has all the information that matters.

## **AI Is Also Making Scams More Convincing**

The same technology creating useful financial tools can also give criminals more sophisticated tools.

A fraudulent email once might have contained obvious spelling errors or unnatural language. Generative AI can now produce polished communications almost instantly. Voice cloning can imitate a family member or business contact, while manipulated images and video can make an impersonation more believable.

The Federal Trade Commission reported that consumers said they lost approximately $3.5 billion to imposter scams during 2025, nearly three times the amount reported in 2020. The FTC also reported particularly large losses involving bank, business, and government impersonators.

Securities regulators have similarly warned that criminals can use AI generated websites, communications, images, and other material to make fraudulent investment opportunities appear legitimate.

The practical lesson is simple: professional appearance is no longer proof of authenticity. When an unexpected communication asks you to transfer money, provide a verification code, change account instructions, or make an urgent financial decision, independently verify the request using contact information you already trust.

## **Why the Human Relationship Still Matters**

As AI becomes more capable, it is reasonable to wonder how much financial work eventually will be handled by technology.

Technology will almost certainly continue changing how financial professionals work. It can help organize information, evaluate assumptions, prepare research, and reduce time spent on repetitive administrative tasks. That can leave more time for decisions requiring conversation and judgment.

Return to Mark and Susan. A computer may be able to model hundreds of retirement scenarios. What it may not fully capture is why Susan is uncomfortable retiring before Medicare eligibility, why Mark becomes anxious when investment balances decline, or whether helping an adult child is likely to become an ongoing financial obligation.

Those factors are difficult to reduce to numbers, yet they can materially influence financial decisions.

A professional who has known a family for years may also provide an additional safeguard against fraud. An unusual request to move a large amount of money after an unexpected telephone call may prompt questions that an automated system cannot ask in quite the same way.

Technology provides data and speed. Relationships provide context.

## **Investing in AI Is Not the Same as Using AI**

Investors should also distinguish between benefiting from artificial intelligence as a tool and investing in companies associated with the technology.

AI has attracted enormous attention across software, semiconductor manufacturing, data centers, cybersecurity, and other industries. But an important technology trend does not automatically make every company connected with that trend a successful investment.

The SEC has brought enforcement actions against firms for false or misleading statements about their claimed use of artificial intelligence, a practice sometimes described as AI washing. In one 2024 case, two investment advisers agreed to pay a combined $400,000 in civil penalties after the SEC alleged that they made false and misleading statements about their AI capabilities.

History offers a useful reminder. The internet dramatically changed commerce and society, but not every company associated with the internet became a successful long term investment.

Technology can change the economy while individual investments connected to that technology still experience volatility, disappointment, or failure.

## **Use AI as a Tool, Not an Autopilot**

AI can be useful for explaining unfamiliar concepts, organizing information, comparing scenarios, and preparing better questions. Financial institutions and professionals will likely continue using it to improve research, security, efficiency, and service.

Important financial decisions still deserve verification. Confirm significant facts with reliable sources, independently verify unusual financial requests, and recognize when a decision depends on circumstances that an algorithm may not fully understand.

## **Conclusion: Better Technology Still Requires Better Decisions**

Artificial intelligence is likely to become increasingly intertwined with everyday financial life. Better fraud detection, faster research, easier access to information, and more efficient financial services all have the potential to benefit consumers.

But technology does not eliminate uncertainty, risk, emotions, family priorities, or the need for judgment.

One of the most useful ways to approach AI may be to treat it as a tool for becoming better informed rather than handing financial decisions over to a machine. Strong financial decisions still depend on good information, careful verification, appropriate technology, and human judgment.

## **Sources**

Board of Governors of the Federal Reserve System. “Artificial Intelligence in the Financial System.” May 1, 2026.  
[https://www.federalreserve.gov/newsevents/speech/bowman20260501a.htm](https://www.federalreserve.gov/newsevents/speech/bowman20260501a.htm)

Board of Governors of the Federal Reserve System. “Responsible Innovation and Financial Inclusion.” July 14, 2026.  
[https://www.federalreserve.gov/newsevents/speech/bowman20260714a.htm](https://www.federalreserve.gov/newsevents/speech/bowman20260714a.htm)

Consumer Financial Protection Bureau. “Chatbots in Consumer Finance.” June 6, 2023.  
[https://www.consumerfinance.gov/data-research/research-reports/chatbots-in-consumer-finance/chatbots-in-consumer-finance/](https://www.consumerfinance.gov/data-research/research-reports/chatbots-in-consumer-finance/chatbots-in-consumer-finance/)

Federal Trade Commission. “FTC Data Show People Reported Losing $3.5 Billion to Imposter Scams in 2025.” June 15, 2026.  
[https://www.ftc.gov/news-events/news/press-releases/2026/06/ftc-data-show-people-reported-losing-3-point-5-billion-imposter-scams-2025](https://www.ftc.gov/news-events/news/press-releases/2026/06/ftc-data-show-people-reported-losing-3-point-5-billion-imposter-scams-2025)

U.S. Securities and Exchange Commission, FINRA, and North American Securities Administrators Association. “Artificial Intelligence (AI) and Investment Fraud: Investor Alert.” January 25, 2024.  
[https://www.investor.gov/introduction-investing/general-resources/news-alerts/alerts-bulletins/investor-alerts/artificial-intelligence-fraud](https://www.investor.gov/introduction-investing/general-resources/news-alerts/alerts-bulletins/investor-alerts/artificial-intelligence-fraud)

U.S. Securities and Exchange Commission. “SEC Charges Two Investment Advisers with Making False and Misleading Statements About Their Use of Artificial Intelligence.” March 18, 2024.  
[https://www.sec.gov/newsroom/press-releases/2024-36](https://www.sec.gov/newsroom/press-releases/2024-36)

Companies are mentioned for informational purposes only. References should not be considered a solicitation for the purchase or sale of securities or commodities. Entities referenced are not affiliates of the companies of OneAmerica Financial unless otherwise noted. 

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