Using Generative Artificial Intelligence As A Financial Tool | Bankrate (2024)

As the New Year approaches, many people are addressing financial resolutions. But a significant number of Americans feel like they’re behind on achieving their money goals.

About 80 percent of Americans didn’t increase their emergency savings this year, according to a recent Bankrate survey. Nearly one-third of households (32 percent) have less emergency savings now than at the start of 2023.

Generative AI has emerged as a useful tool for financial advice, offering consumers a free way to receive customized guidance on everything from creating a budget to managing an investment portfolio.

Key takeaways

  • Generative artificial intelligence (AI) is a technology that picks up patterns and uses that information to create content, including financial advice.
  • Americans are becoming more comfortable with using AI tools to help manage their personal finances and achieve financial goals.
  • Financial advisors are also incorporating generative AI into their services to streamline tasks like research, stock market analysis and generating reports.

AI financial advice data and statistics

Despite a strong economy, many Americans are struggling to achieve their financial goals as 2023 comes to a close.

Nearly half of Americans are struggling to be financially secure, according to a Bankrate survey. Still, many of the Americans surveyed are optimistic about their financial future — 46 percent of Americans who don’t feel financially secure believe that they will someday.

About 2 in 5 Americans (41 percent) surveyed blamed insufficient retirement funds as the primary factor fueling their feelings of financial insecurity. Building an emergency savings fund is another common aspiration, yet 60 percent of Americans feel they’re behind on meeting this goal, too.

More people are now turning to AI platforms, like ChatGPT, as a cost-effective way to manage their finances. The public debut of ChatGPT in November 2022 has boosted consumer awareness of AI’s potential: The chatbot currently has over 100 million users and the website generated 1.6 billion visits since June 2023.

Americans and their financial goals

For many Americans, their financial landscape feels like a battlefield — an on-going struggle to save for major life events while combating rising prices.

While inflation is down significantly from the summer of 2021, interest rates remain at their highest level in more than 15 years. From buying a car to purchasing a home to paying down credit card debt, consumers are feeling the impact of broader economic factors on their bottom line.

Americans feel behind in achieving their financial goals due to a variety of factors:

  • 57 percent of Americans who have not increased their emergency savings since the beginning of 2023 blame rising prices and inflation.
  • 56 percent of Americans who are employed believe they’re behind on retirement savings, according to a September Bankrate poll.
  • 73 percent of aspiring homeowners cite affordability as their primary obstacle keeping them from owning a home, according to a Bankrate report.

For Americans struggling to get ahead, AI offers a way to obtain personalized advice and financial information at home for free.

“AI can be a useful tool to understand how to organize basic finances like budgeting, saving, and paying down debt,” says Stephanie Genkin, a certified financial planner and founder of My Financial Planner, LLC in Brooklyn, New York. “While not always 100 percent reliable, it’s a great place to start to gain financial literacy.”

In the not-so-distant past, managing money often meant sitting down with a financial advisor or conducting your own in-depth research. Information wasn’t always readily available — or free.

Flash forward to today, when the financial industry is experiencing a digital revolution. Consumers now have access to easy online banking, handy budgeting apps and even robo-advisors that use complex algorithms to help with investing.

While these advancements make money management more convenient and accessible, the advice they offer — if any — is often generic.

That lack of personalized guidance is changing with artificial intelligence, specifically AI chatbots. These digital assistants offer the potential to fill the gap between individuals struggling with financial goals and the guidance they need to achieve those goals.

Platforms like ChatGPT offer more than just casual conversations with a robot. They provide access to financial planning information and insights once only available for a fee from an advisor.

One big advantage of AI is its ability to analyze vast data sets quickly. AI can review your income, expenses, savings, investments and financial goals, offering advice tailored to your unique situation. Users can also get guidance on creating a budget or understanding insurance products.

Other AI-driven financial tools include:

  • Automated budgeting and expense tracking
  • AI-driven investment platforms for smart investing
  • Personalized financial planning tailored to your goals
  • Debt management strategies
  • Improving financial literacy

Using Generative Artificial Intelligence As A Financial Tool | Bankrate (1)

Consumers are also getting more comfortable with the idea of AI-integration in financial planning. In fact, nearly 1 and 3 investors would be comfortable using generative artificial intelligence to receive financial advice, according to a report by CNBC.

However, it’s crucial to note that while generative AI can be a valuable tool, it can’t replace human judgement. Sure, AI can analyze large amounts of data, but it’s not going to provide you with specific investment recommendations. Certain aspects of your financial life still require a more nuanced approach.

Also, OpenAI, the company that developed ChatGPT, warns that the chatbot “sometimes writes plausible-sounding but incorrect or nonsensical answers.”

For consumers, AI can enhance financial decision-making but it can’t replace it. Experts recommend finding a reliable source to vet information provided by a chatbot.

“I wouldn’t make any big financial decisions without also speaking to a fiduciary,” says Genkin.

Keep in mind: While AI chatbots are efficient tools for time-saving activities, some of the content generated can be unreliable or outdated.

How AI can be used in financial advising

Consumers aren’t the only ones using AI to manage money.

For years, financial firms have utilized the technology for everything from fraud detection to credit scoring. As generative AI evolves, more financial advisors are finding new ways to incorporate the technology into their workflows to streamline everyday tasks such as research, stock market analysis and report generation.

Jeremey Finger, a certified financial planner and founder of Riverbend Wealth Management in Myrtle Beach, South Carolina, says he thinks chatbots can be an efficient tool for advisors by helping them simplify tasks like drafting emails to clients.

“I think the danger, especially for clients, lies in assuming the information it provides is true,” says Finger. “It also can’t ask a client thoughtful follow-up questions. It only works off the information you put in.”

For example, if someone with a disability or terminal illness fails to input those details into a chatbot, the advice they receive won’t be tailored to their needs.

“To assume AI is taking those things into consideration is poor judgement,” says Finger.

How to choose the right financial advisor

Robo-advisor: A type of automated financial advisor that provides algorithm-driven portfolio management and investing services with little to no human intervention.

Financial advisor: A professional who is paid to offer financial advice to clients. They typically offer guidance on retirement, personal finances and investments.

Rather than turning to AI chatbots, there are other options available if you need personalized financial guidance, including traditional advisors and robo-advisors.

The rise of AI has seen a parallel surge in the popularity of robo-advisors. While not a new concept, robo-advisors have become more sophisticated with the integration of AI, offering users a cheaper and more convenient way to invest.

But creating a comprehensive financial plan involves more than a data-driven investment strategy. Selecting the right financial advisor, whether human or AI-driven, is an important step in achieving financial goals.

Not everyone needs to work with a human advisor, but doing so provides valuable insight and context you might not get with generative AI or even a robo-advisor. Estate planning, which involves drafting legally-binding documents to pass along your assets after you die, is one example of a complex situation that warrants speaking to a human advisor.

But how do you select the right financial advisor? Here are a few tips:

  • Look for a fiduciary: A fee-only fiduciary is a professional that’s ethically bound to work in your best interest — not the interests of insurance companies or financial institutions. They’ll provide unbiased, personalized advice that you can trust.
  • Check their designations: Certain designations carry more weight in the financial planning industry than others. A certified financial planner, for example, must complete at least three years of experience, pass a rigorous exam and maintain on-going education.
  • Understand their fee structure: Advisors can get compensated in several ways. Make sure you understand how an advisor is paid and that the price fits your budget.
  • Ask questions: Interview several advisors before making your decision. When you meet with potential advisors, ask about their experience and inquire about specific cases they’ve handled. Pay attention to their communication style and transparency.

If you need expert guidance when it comes to managing your money or planning for retirement, Bankrate can help you get matched with a financial advisor in minutes.

Frequently Asked Questions

  • A financial advisor provides guidance to help clients manage their money and plan for their financial future. They help track, manage and balance investments as well as offer advice on topics like retirement planning, insurance, buying a home and budgeting.

  • Generative AI is a branch of artificial intelligence that involves machines creating content — such as text, images or videos — based on patterns and information learned from massive datasets.

    Generative models, like ChatGPT, produce human-like responses and can assist in a range of tasks, including financial planning.

  • While the process of achieving financial goals looks a little different for everyone, there are three general steps to follow: Clearly define your goal, identify your time frame and monitor your progress.

    You can set yourself up for success by making your goals specific, measurable and achievable. For example “I want to make more money” isn’t a specific goal, but “I want to increase my salary 30 percent over the next three years” is.

    Once you’ve defined your goal, don’t just set it and forget it. Designate specific times to check your accounts and make adjustments as needed. It’s generally recommended to review your progress at least once a month for short-term goals and once or twice a year for long-term goals.

Using Generative Artificial Intelligence As A Financial Tool | Bankrate (2024)

FAQs

Using Generative Artificial Intelligence As A Financial Tool | Bankrate? ›

Financial institutions are using the tech to generate credit risk reports and extract customer insights from credit memos. Gen AI can generate code to source and analyze credit data to gain a view into customers' risk profiles and generate default and loss probability estimates through models.

How can generative AI be used in finance? ›

By learning from historical financial data, generative AI models can capture complex patterns and relationships in the data, enabling them to make predictive analytics about future trends, asset prices, and economic indicators.

How is artificial intelligence used in finance? ›

AI can automate many basic banking activities like payments, deposits, transfers, and customer service requests. AI can also handle application processes for credit cards and loans, including acceptance and rejection, providing near-instant responses.

How are banks using generative AI? ›

In banking, this can mean using generative AI to streamline customer support, automate report generation, perform sentiment analysis of unstructured text data, and even generate personalized financial advice based on customer interactions and preferences.

Is there a finance GPT? ›

FinanceGPT combines the power of generative AI with financial data, charts, and expert knowledge to empower your financial decision-making. Navigate complex financial landscapes with confidence, backed by our cutting-edge AI platform and industry expertise.

Which banks are using GenAI? ›

  • JP Morgan Chase (US)
  • Capital One (US)
  • Royal Bank of Canada (Canada)
  • Wells Fargo (US)
  • UBS (Switzerland)
  • Commonwealth Bank (Australia)
  • Goldman Sachs (US)
  • ING (Netherlands)
Jan 5, 2024

What is GenAI in banking and finance? ›

This innovative technology allows banks to make insightful, data-driven decisions, manage risks effectively, and improve customer satisfaction. GenAI could be the key to unlocking new levels of success in the banking sector. There are many areas of opportunity for utilizing GenAI in the banking industry.

How is JP Morgan using AI? ›

J.P. Morgan is also using AI for payment validation screening and to automatically show insights to clients, such as cashflow analysis, when they need it.

How can ChatGPT be used in finance? ›

ChatGPT can help analyze large datasets and find patterns that are not easily visible with traditional analysis methods. By training it on data, it can quickly identify trends and patterns, which can inform financial models and decision-making.

How to use AI in accounting and finance? ›

How to incorporate AI in your accounting workflows
  1. Workflow analysis. Begin by thoroughly understanding your existing accounting processes. ...
  2. Identify manual and repetitive tasks. ...
  3. Assess data volume and complexity. ...
  4. Evaluate data variability. ...
  5. Analyze task suitability.

What is the downside of generative AI? ›

Known Limitations Of Generative AI

Large language models (LLMs) are prone to "hallucinations" - generating fictitious information, presented as factual or accurate. This can include citations, publications, biographical information, and other information commonly used in research and academic papers.

What problems can generative AI solve? ›

Generative AI solves diverse business problems, such as adapting to consumer preferences, streamlining content creation, and enhancing data-driven decision-making. It's pivotal in optimizing design processes, advancing healthcare innovations, and improving financial forecasting.

How generative AI can be used in business? ›

Generative AI business applications range across various industries, including but not limited to healthcare, retail, finance, education, and entertainment. Each industry can leverage generative AI for unique use cases, such as personalized customer experiences, content creation, data analysis, and scenario modeling.

How is AI being used in finance? ›

AI is particularly helpful in corporate finance as it can better predict and assess loan risks. For companies looking to increase their value, AI technologies such as machine learning can help improve loan underwriting and reduce financial risk.

Can I use ChatGPT for accounting? ›

This article identifies several uses of ChatGPT in accounting that may improve your business productivity. You can perform accounting tasks, brainstorm, research, analyze financial information for insights and decision-making, and gain digital assistance in business communications with human oversight.

Is GPT-4 good at accounting? ›

GPT-4 is a powerful tool that can significantly improve efficiency and add a fun element to tax accountants' work.

What will generative AI be used for? ›

Generative AI or generative artificial intelligence refers to the use of AI to create new content, like text, images, music, audio, and videos.

What are the generative AI use cases for capital markets? ›

Generative AI use cases in capital markets can be divided in four areas — building new capabilities, improving operations, fostering innovation, and enabling transformation.

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