AI Won’t Replace Accountants But It Will Change the Job

Most technological advancements are met with suspicion by the masses, only to be later adopted and leave future generations wondering how we made do without them at all. The reason for tech skepticism ranges from our biases against things that challenge the norm when we’re older, as well as fears that they make our livelihoods redundant. Nowadays with AI, one of the biggest fears is, unsurprisingly, losing our jobs to it. Some fields are more susceptible to this than others but accounting is actually facing an acute staffing shortage. That doesn’t mean accountants still aren’t worried about AI but the evidence shows their fears to be misplaced. A global survey by Advancetrack of around 500 accounting leaders found that 73% of firms were turning away clients due to a dearth of staff. So there’s two issues the industry has to deal with; how to increase headcount and how to increase the capacity of the existing accountants. AI proves to be incredibly useful at the latter.

Early field research found that AI adopters supported 55% more weekly client work suggesting that while new talent trickles into the field, the existing workforce can automate half of their manual workload and increase their capacity to handle more complex tasks that require more critical thinking. This is particularly helpful for smaller firms that are stretched thin and cannot afford to lay off any staff. AI removes that repetitive workload from their plate and allows accountants to serve more clients.

The Accountant Shortage

The transition in the workforce has been happening before AI. Much of it is demographic-driven with older accountants retiring or selling, and younger generations chasing STEM fields with higher pay, and comparatively better workloads. According to the Bureau of Labor Statistics, there are around 115,300 openings for accountants and auditors each year through 2035. A large part of these openings come from people leaving the labor force through retirement and even through changing occupations.

In recent years, the talent pipeline has recovered to some extent. We can see this by the rise in enrollment in accounting programs by 8.9% in the US. This has been the third consecutive annual increase. However, these students will take at least four years to complete their undergraduate programs, then build experience through internships or entry-level roles, and then earn professional credentials like CPA or CMA. So there is a transition period where more people are leaving the field and the people entering cannot immediately fill in their shoes. The balance of knowledge is also not particularly favourable because accounting knowledge is directly proportional to age as it is such an experience-heavy field. So those retiring are taking a huge repository of experience-backed knowledge with them that junior accountants cannot fill immediately.

Why Productivity Gains with AI Do Not Spell Headcount Reduction

Accounting has been through cycles of technological development before and that has improved the field more than simply eliminating accountants. No one can argue to bring back simple ledgers just so more accountants can be hired. Efficiency is how the field progresses.

With the supply-side problem in mind, one can see how AI would–especially initially–fill the hole in the existing capacity of accountants than create unemployment. Productivity in this sense means that the existing workforce will be able to serve more clients because AI takes on the repetitive, more manual work that consumes precious time. This productivity will have future dividends in the form of a workforce that is not burnt out and can provide quality services to more clients, and also more selectiveness in future hiring.

A field study from the Stanford Graduate School of Business elucidates this point. The study examined AI use across 79 small and midsize accounting firms. Those that adopted AI supported 55% of more weekly client work and accountants shifted around 8.5% of their time away from routine data entry work to business communication and quality assurance. Moreover, monthly closes happened 7.5 days faster. This shows that the adoption of AI doesn’t inherently spell headcount reduction. The measure of success in the accounting field at least, points towards increasing the capacity of each accountant.

The Shift in Importance of Some Skills Over Others

Naturally, with AI as a copilot, an accountant’s focus shifts from some tasks to others. The manual and technical work—like data entry, reconciliation, spreadsheet transfers—is left in the domain of automation while the accountant moves up the decision chain. The results of automation cannot be left unreviewed. Its final product must be evaluated by a human who can explain the judgement to a clients and take responsibility for the result.

This makes critical thinking all the more important. We’re seeing this already with firms like EY who announced a $100 million investment in employee rewards focused partly on skills such as judgment, adaptability and business acumen. Similarly, in KPMG’s 2026 summer intern survey, 76% said future career success would require both strong human skills and the ability to direct AI effectively. Critical thinking and problem-solving ranked as the most important capabilities in an AI-agent-enabled workplace. Firms are preparing for a division of labor where AI handles the production and people handle evaluation and judgment.

The Accountant Is Not Disappearing

It is strange to begin predicting the disappearance of a profession facing persistent unmet demand. The evidence shared in this article illustrates that AI allows existing teams to serve considerably more clients. It can move entry-level work away from routine data production and toward reviewing automated output, and make judgment, communication a larger proportion of accountants work. None of that guarantees that every existing role survives unchanged. Firms will make different choices about hiring and margins, and some tasks will require far fewer people than they do today. 

It doesn’t end there either. If accountants are expected to exercise professional judgment earlier, the industry needs to become much more deliberate about how that judgment is developed. The old training pyramid assumed that juniors would spend years doing repetitive work before moving upward but AI is beginning to remove some of the bottom of that pyramid. This paradox must be carefully dealt with to prevent pushing younger generations away from the field.