If you’re a CFO, ChatGPT wants you to know that it’s not coming for your job — at least for now.

CFO Dive decided to engage the popular artificial intelligence tool in a conversation about both its potential and limitations in the area of corporate finance. Like experts who have weighed in, ChatGPT concluded that it can assist CFOs but is currently not capable of completely replacing them.

ChatGPT, an AI-driven natural language processing tool created by Microsoft-backed OpenAI, has been catapulted into the public spotlight in recent months. The tool has the ability to interact in a conversational way, producing responses to questions across a number of subject areas. It can also assist people with a variety of tasks, from drafting reports and emails to writing software code.

ChatGPT quickly gained attention after it was launched last November. It generated one million users in less than a week, surpassing both Instagram and Spotify as the fastest-growing consumer application in history, according to DiploFoundation and KPMG.

Despite its popularity, the technology is also prompting concerns and sparking a national debate about the potential risks of AI-driven automation.

The following is a Q&A between ChatGPT and CFO Dive’s Alexei Alexis.

CFO Dive: Do AI tools like yourself have the potential to replace corporate CFOs someday?

ChatGPT: While AI tools like myself can perform many tasks related to financial analysis, forecasting, and reporting, I don't think we have the potential to completely replace corporate CFOs anytime soon.

The role of a CFO is complex and multifaceted, requiring a deep understanding of finance, accounting, and business operations. CFOs are responsible for overseeing a company's financial strategy and performance, managing risk, making strategic investments, and ensuring compliance with regulatory requirements.

While AI tools can assist with many of these tasks, they cannot replace the strategic decision-making and leadership skills that a CFO brings to the table. Additionally, CFOs often serve as a bridge between the finance department and other areas of the company, such as marketing, operations, and sales. They need to be able to communicate financial information and insights to non-finance executives and stakeholders, which requires interpersonal skills and emotional intelligence.

Overall, AI tools can certainly help CFOs do their jobs more effectively, but they are not capable of replacing the unique skills and expertise that CFOs bring to their organizations.

CFO Dive: Can you please elaborate on what you mean by "anytime soon"?

ChatGPT: "Anytime soon" is a somewhat vague term, so let me clarify what I mean in the context of AI tools potentially replacing corporate CFOs.

While AI technology is rapidly advancing and becoming more sophisticated, I believe that it will still be some time before it is capable of completely replacing CFOs. It is difficult to predict exactly when this might happen, as it will depend on a variety of factors, including the pace of technological development, changes in the business landscape, and the willingness of companies to adopt new technologies.

However, based on current trends and the limitations of AI technology, I think it is safe to say that it will be at least several years, and possibly decades, before AI tools are advanced enough to take over all of the responsibilities of a CFO. In the meantime, AI will continue to play an increasingly important role in finance and accounting, and CFOs will need to be comfortable using and managing AI tools in order to stay competitive.

CFO Dive: Can you say more about your capabilities and limitations in the context of corporate finance work?

ChatGPT: As an AI language model, I have a number of capabilities that can be useful in the context of corporate finance work. Some of these capabilities include:

1. Data analysis and processing: I can analyze large volumes of financial data and identify patterns and trends that would be difficult or time-consuming for humans to detect.
2. Financial modeling and forecasting: I can create complex financial models that take into account multiple variables and can be used to forecast future financial performance.
3. Risk analysis: I can identify potential risks and opportunities in financial data and provide recommendations for managing those risks.
4. Reporting and visualization: I can generate reports and visualizations that make it easy to understand complex financial data and communicate insights to stakeholders.

However, there are also some limitations to my capabilities as an AI tool. Some of these limitations include:

1. Lack of domain-specific knowledge: While I have access to a vast amount of information, I may not have the domain-specific knowledge required to fully understand the nuances of certain industries or financial instruments.
2. Inability to make judgment calls: While I can analyze data and provide recommendations, I am not able to make judgment calls that require a deep understanding of business operations, company culture, or industry trends.
3. Lack of emotional intelligence: I am not able to read nonverbal cues or understand the emotional context of a situation, which can be important in certain financial decision-making processes.
4. Inability to take into account external factors: While I can analyze financial data, I may not be able to take into account external factors, such as geopolitical events or natural disasters, that can have a significant impact on financial performance.

Overall, while AI tools like myself can be extremely useful in corporate finance work, they are not a replacement for human expertise and judgment. It is important to use AI tools as a complement to human skills and to be aware of their limitations.

CFO Dive: Some warn that relying on you for corporate finance projects could present data privacy and security risks as well as potential data accuracy issues. Any comments?

ChatGPT: As an AI language model, I can understand why there may be concerns around data privacy and security risks, as well as potential data accuracy issues when using third-party services like myself for corporate finance projects.

Regarding data privacy and security risks, it's essential to recognize that I do not have access to any private or confidential information unless it is explicitly provided to me by the user. That being said, it's crucial to ensure that sensitive data is adequately protected and only shared with trusted and reputable service providers.

As for data accuracy issues, it's important to acknowledge that my responses are generated based on patterns in large datasets and are not a substitute for human expertise or judgment. While I strive to provide accurate and helpful information, my responses may not always be entirely relevant or accurate for a particular situation. It's therefore crucial to approach my responses with critical thinking and to seek expert advice where appropriate.

Overall, AI language models like myself can be valuable tools for corporate finance projects. However, it's crucial to weigh the potential risks and benefits carefully and to use caution when sharing sensitive data with any third-party service. Ultimately, the most effective approach will involve a combination of AI technology and human expertise to achieve the best possible outcomes.