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We heard it even before generative AI swept the profession, and we've heard it more intensely since: machines will not—cannot—replace human accountants. They will perhaps take on some of the more repetitive boring tasks no accountant actually wants to do, but this will serve not to replace human professionals but elevate them, as AI frees up their time for higher-value work that requires judgment, adaptability and empathy.
And this narrative is not wrong. It's exactly what we have been seeing these past few years: repetitive, routine tasks are increasingly automated, which has led firms to embrace their role as trusted professionals engaged not in assembly line-style data processing but high-level advisory roles concerned with broad strategic matters that inform future business development. Even those still focused on these routine repetitive tasks are doing so as outsourced CFOs who, themselves, can provide strategic insights based on the gigabytes of financial information sent to them. The human professional still has plenty to do. The technology today simply is not up to the task to wholesale replace a human accountant.
But technology has a stubborn habit of advancing. Today's technology is not sufficient to create the apocalypse scenario many dread, but what about tomorrow's? It's not like there has never been any profession displaced by technology ever—for instance, you don't see that many
Yet, this raises the question of when, exactly, they will? At what point should the accountant genuinely worry about displacement? How far will technology need to advance before even the most confident CPA grows anxious? When will the profession develop a going concern opinion on itself? Readers should take heart that, for the most part, our experts believe that won't be for a long, long, long time.
The issue isn't so much whether AI can handle the discrete tasks human accountants do, for it can already do many; it's whether AI can give meaning and direction to those tasks and execute on them in service of a larger strategic goal. Prashant Ganti, vice president of global product strategy for the finance and operations unit at accounting platform Zoho, noted that there's a whole world of tasks that completely elude AIs today that humans take for granted.
"For AI to wholesale replace an entry-level staff accountant, it should consistently execute all their tasks that includes keeping up with evolving regulations, managing ambiguous scenarios, creating transparency in decision-making in line with audit and regulatory expectations. There is also the element of trust, responsibility and ethical consideration we expect from accounting professionals which AI cannot fully deliver. So AI can only augment their role but cannot replace them," he said.
Kacee Johnson, a principal at AI-focused advisory firm Be Radical, emphasized that the lack of accountability is a key gap in why an AI would have trouble replacing a human wholesale, now or in the immediate future. All human workers are accountable to someone. If an AI is unaccountable, it cannot truly replace a human in the ways we find meaningful.
"AI would need to demonstrate accountability, contextual judgment and trustworthiness, not just technical accuracy. Entry-level roles are as much about learning responsibility as executing tasks. Until AI can truly own mistakes, ethically, professionally and legally, humans will remain essential," she said.
Abigail Parker, a University of Texas San Antonio accounting professor, also pointed out there is a technical problem to this question: data. Right now it's just too chaotic to even consider wholesale automation via AI.
"Data standardization [is key]. Accounting data today comes from diverse ERP systems or other sources with a wide range of formats. This heterogeneity makes complete automation of mundane tasks usually conducted by entry level accountants difficult," she said.
Many others, however, felt even if all these hurdles were to be overcome, accountants and their firms still wouldn't vanish. They'd just change, as they have many times in the past. The accounting profession didn't collapse with the advent of the calculator, nor the computer, nor the internet (though you don't see many
"I would reframe the context — AI replaces or augments skills, not necessarily people. For example, if a person spends significant portions of their day on data entry perhaps and they find that this can be automated — then the skill of data entry is automated, but it does not mean the person is replaced, unless however that is all they do. With this context, I would expect to see automation around certain skills that are focused on the routine and repeatable, which means that the accountant needs to spend more time learning and apprenticing around the complex and soft-skill client relationships to understand deeply the needs of a client and that client's business vertical," said Jon Hilton, AI practice leader and shareholder for Top 50 firm LBMC.
Similarly, Aaron Harris, chief technology officer for accounting solutions provider Sage, felt the very nature of accounting and finance means we won't see AI replacing professionals as the job is more than just its discrete tasks. It is an entire structure of responsibility, judgment and trust.
"Even when AI can execute workflows perfectly, someone still needs to stand behind the outcome, explain it, and take accountability when something goes wrong. In finance, that responsibility can't be delegated to a system. What will change is the shape of entry-level roles. Rather than removing the need for junior accountants, AI raises the bar on the skills required — from understanding how intelligent systems work, to managing and validating agent-driven workflows, and knowing when to intervene. The opportunity isn't replacement, it's progression," he said.
Not everyone was so sanguine, though. Wesley Hartman, founder of automation solutions provider Automata, felt AI could theoretically replace the entry-level accountant — maybe not right now, but soon, which makes adaptation especially important in the face of this disruption. The profession must take active steps to preserve itself and its talent pipeline.
"Maybe I am in the minority, but I think AI will replace the entry level accountant. This is a disruptive technology. I think the definition of what an entry level accountant is needs to change. I think there needs to be a higher level of coaching and mentoring to elevate someone coming in at entry level to be past the previous expectations. A senior person with an AI tool will be able to 'manage' agents to do the work of a team of entry level so we need to figure out how to get those entry level to seniors faster. Otherwise, in five years, there will be no seniors, and the pipeline will be worse," he said.
To Jack Castonguay — vice president of strategic content development for accounting, finance, and AI with Surgent — the question is moot. Even if AI could replace an accountant, it would absolutely be the wrong move to do so.
"I think even if AI improved so that it could replace all entry-level staff tomorrow, it would be a mistake to implement that approach. Today's entry-level staff are tomorrow's partners, CEOs, and leaders. If you replace them, you lose more than headcount — you lose culture, innovation and the future leaders at your firm. That doesn't mean we need entry-level staff tying out financial statements by hand or copying and pasting values from an invoice into a spreadsheet. But we do need them to understand the work that the AI would be doing. There is still value in that. … I don't care if AI could replace entry-level staff because it would be the wrong policy in the long run," he said.
There are many more opinions below in this fourth look at our results from the 2026 AI Thought Leaders Survey.



































