Will AI Replace Accountants?

A CPA’s perspective on artificial intelligence, professional judgment, client trust, and the future of accounting.

I recorded a 25-minute conversation about artificial intelligence and accounting while sitting in the carpool line because this topic keeps coming up across the profession.

AI has become one of the most discussed topics in accounting. It shows up as a breakout session at conferences, a webinar topic, a CPE course, and a discussion among practitioners comparing what AI looks like inside their firms and companies. Accounting students and new professionals are asking the same question from a different place: they want to know what their careers will look like now that AI is in the mix.

AI will not replace accountants.

AI will absolutely change the work. Some tasks will disappear. Some roles will shrink. Accountants who refuse to learn the technology may find themselves standing still while the profession moves around them. None of that means the profession is going away.

AI can produce an answer. Accountants still have to know whether that answer makes sense, explain what it means, and take responsibility for what happens next.

Watch or listen to the full episode: Will AI Replace Accountants?

Accounting Is Bigger Than Debits, Credits, and Journal Entries

Sometimes the conversation about AI and accounting gets too small because people reduce accounting to transactional work. They think about debits and credits, journal entries, reconciliations, accounts payable, and accounts receivable. Those functions matter, but they represent a fraction of what accountants actually do.

Accounting is a hub with a whole lot of spokes. We work in audit, tax, internal controls, general accounting, payroll, treasury, controllership, governance, financial reporting, systems, technical accounting, and advisory services. We create standard operating procedures and job aids. We help companies understand the technology they already own. We investigate variances, build business cases, evaluate risks, explain results, and help leaders make decisions.

Most accountants also have internal customers. The department leaders, executives, P&L owners, and operational teams throughout a company depend on us. They don’t come to accounting because they need somebody to repeat a number they can already see. They come because they need to understand what happened.

Imagine that the supply chain team wants to purchase new software. The conversation often starts with, “I’m not an accountant, but I have questions.”

They want to know how the purchase fits into next year’s budget. They need help calculating the return on the investment. They may need a business case that can survive executive review and get the purchase approved. Procurement, technology, legal, finance, and operations may all touch the decision.

AI can help organize the information. It can summarize vendor materials or produce a draft. The accountant still knows how the company budgets, who approves the spending, how similar purchases were treated, which controls apply, and where the financial effect will land.

That company context rarely fits inside one prompt.

The same thing happens when a P&L owner sees an extra $40,000 or $80,000 sitting in an expense line and asks, “What happened this month?”

They don’t need an AI-generated paragraph describing the variance. They need someone to investigate the transactions, determine whether the activity belongs there, explain what changed, and decide whether something needs to be corrected. The best accounting teams provide that information before the department owner has to ask because they understand that person is one of their customers.

AI doesn’t walk into that conversation carrying the history of the business, the relationships inside the company, or responsibility for the answer.

Every AI Tool Tells Us the Part We Keep Minimizing

Nearly every AI tool I’ve used includes some version of the same warning: the tool can make mistakes, so you need to verify the information.

We need to stop treating that disclaimer like tiny footer language nobody reads.

Verification is the foundation of accounting. We reconcile balances, trace transactions, evaluate support, test evidence, investigate differences, and question whether the numbers tell a complete story. A clean answer can still be the wrong answer. A polished explanation can still rest on a bad assumption.

AI tools can hallucinate. They can combine unrelated information, misunderstand a request, invent a source, or present the wrong conclusion in a tone that sounds remarkably sure of itself.

People make mistakes too. I would still rather deal with a mistake made by a trained human who understands the business, can investigate what happened, explain the reasoning, correct the work, and remain accountable for the conclusion.

The disclaimer at the bottom of an AI tool cannot sign a tax return. It cannot explain an audit judgment to a partner. It cannot defend a control conclusion. It cannot sit across from a chief financial officer and answer the follow up question that changes the entire analysis.

Accountants still have to own the answer.

 

AI Needs Somebody in the Room Who Knows What They’re Doing

I like to separate supplemental AI from generative AI.

Supplemental AI helps a knowledgeable person develop, test, organize, or communicate work. It can help you research a topic, find information, draft a process document, identify patterns in data, or strengthen an analysis you have already performed.

Generative AI becomes a problem when people expect it to be the brain.

Tell an AI tool to create a financial statement, and it can create something that looks like one. Then the questions begin. What type of company is this? Which accounting framework applies? What period are we reporting? Do you want a single step or multistep income statement? Who will use the financial statement? What decision are they trying to make? Has the underlying activity been reconciled? Are the classifications correct?

You still have to give the technology good information. You also need enough accounting knowledge to evaluate what comes back.

That’s the part people skip when they say AI can do the work. Producing an output and completing the work are two different things.

The depth and quality of the information you provide will shape the result. The experience of the person reviewing it will determine whether the result deserves to leave the room.

Generic Prompts Are Already Exposing Generic Thinking

I realized how widespread this problem had become while scrolling social media. I saw the same message posted by different accounts on different platforms. At first, I thought it might be one person using different usernames.

Then it happened again: different days, different weeks, and different accounts posting the same captions.

These people were probably asking an AI tool to “create a motivational post” or “write social media content about wellness,” then publishing the first response. They gave the technology nothing distinctive, so it returned nothing distinctive.

You can read some of this content and immediately know AI wrote it. The same words show up. The same sentence structures show up. The same tidy rhythm shows up. Everybody suddenly wants to tell you something “isn’t just” one thing, that it’s “more than” another thing, and that the answer involves some combination of confidence, purpose, and a journey nobody remembers taking.

The work begins to sound like nobody because everybody is publishing the same thing.

That same behavior is dangerous in accounting. A generic request can produce a polished response that ignores the facts capable of changing the conclusion. Accountants cannot accept the initial output because the formatting looks professional and the wording sounds complete.

We have to question the assumptions, add the missing business context, and verify the result. You cannot properly review work you don’t understand.

As a millennial, I also have to acknowledge that AI meant Allen Iverson long before it meant artificial intelligence to me. The one and only. Now that we’re using those letters for technology, we should spend more time thinking about the word “artificial.”

The tool can generate, but it doesn’t have lived experience. It doesn’t know your company because it attended the meetings, watched the decisions unfold, or dealt with the consequences.

It knows what you give it. That distinction matters.

 

Will AI Replace Accountants? Client Confidentiality Is Where My Curiosity Stops

As a CPA and firm owner, I have a hard boundary around client information.

My firm works with founders, private companies, family offices, high net worth individuals, small business owners, and athletes ranging from high school freshmen to collegiate and professional players. People are curious about some of the clients we serve, especially within name, image, and likeness. That makes protecting their identities and financial information even more important.

I’m unwilling to place client financial statements, tax data, identifying information, or confidential business details into a public AI tool. I’m also uncomfortable connecting my tax application, email, or other client systems to AI simply because an integration is available.

Convenience does not outrank the trust clients place in my firm.

I appreciate what the technology can help us do.

Every firm needs to make informed decisions based on its systems, vendor agreements, security requirements, professional obligations, and risk profile. At a minimum, firms should establish written rules governing approved tools, permitted uses, confidential information, review requirements, and human responsibility.

The important question is bigger than whether the integration works. What data does the tool receive? Where does that information go? How is it retained? Who can access it? Can it be used to train the system? What happens when the output is wrong?

Those are accounting questions because risk, controls, evidence, and accountability are accounting territory.

Accounting Students Still Need to Learn the Accounting

Students should learn how to use AI. They should play with it, understand it, and learn where it can make their work stronger.

They also need to learn the accounting.

My concern reaches beyond the profession. Children are growing up during a time when AI can complete their homework, and educators can use the same tools to build every lesson. If we allow technology to replace the development of critical thinking, we will produce people who can generate an answer without knowing whether it is right.

Future accountants still need to understand debits and credits, financial reporting, audit evidence, tax law, internal controls, systems, and business operations. They need to recognize missing information, question results that do not make sense, communicate with stakeholders, and explain why a conclusion is supportable.

AI makes those abilities more valuable because polished output will become easier to produce. The person who understands the work will know when the technology has taken a wrong turn. The person who skipped the foundation may follow it straight off the road.

According to the U.S. Bureau of Labor Statistics, employment for accountants and auditors is projected to grow five percent from 2024 through 2034, with approximately 124,200 openings each year. The same agency projects a decline for bookkeeping, accounting, and auditing clerk roles. The [World Economic Forum’s Future of Jobs Report 2025](https://www.weforum.org/publications/the-future-of-jobs-report-2025/in-full/2-jobs-outlook/) presents a more cautious global forecast and identifies accountants and auditors among roles employers expect to decline.

That tension tells us where the pressure is building. Transactional work will continue to change. Entry level roles may look different. Firms will need better ways to give new accountants the repetitions that help them develop judgment.

The profession still needs people who can understand the business, protect the public trust, and explain what the numbers mean.

AI Will Change Accounting, and Accountants Will Still Have to Account

I want more useful AI inside platforms such as Microsoft Dynamics 365, NetSuite, and Oracle. I want systems that help accountants find information faster, create stronger reports, reduce repetitive work, and spend more time on analysis.

I also want a clear line showing what the technology can handle and what still requires the expertise, judgment, and responsibility of an accountant or CPA.

AI can summarize data. It can identify patterns, draft explanations, and speed up pieces of the accounting process. It can complement the work.

It can’t be our brain. It can’t carry our professional obligations. It can’t understand every relationship and decision inside a business. It can’t protect client trust by itself. It can’t own the answer.

That’s still my position: AI won’t replace accountants. It will force us to become better accountants.