Will AI Replace Tax Preparers?

A client mentioned, half-apologetic, that TurboTax has AI built in now. You walked them through why their multi-state situation still needs a human, and they stayed, but you wondered how many won’t ask the question and simply won’t come back.

Your firm’s owner is upgrading the software’s AI features for next season. Returns that filled a junior’s week now move through in a fraction of the time. Between two of them, you went looking for where that leaves you.

The starting point is an adoption number that stands out across every profession. AI use inside accounting and tax firms went from 9% to 41% in a single year, the Wolters Kluwer Future Ready Accountant study found, concentrated right around tax season.

The technology isn’t arriving. It arrived during the weeks preparers were already under the most pressure.

Volume returns automate; advisory work doesn’t

Three task categories the software chews through during tax season:

• Source-document extraction. W-2s, 1099s, K-1s, brokerage statements get parsed directly into prep software with low error rates.
• Compliance flag generation. Cross-checking the return against current-year rules, surfacing the items that need a human look.
• First-pass review of junior returns. Senior-reviewer-style memos in minutes instead of hours: variances against prior year, missing schedules, unusual line items.

Around 85% of accountants describe themselves as excited or intrigued by AI, but only 37% of firms invest in training, the AICPA and CPA.com 2025 report found, and that gap will decide which firms come out of the next cycle ahead.

The preparers who do well with the Workplace AI Institute treat the off-season as the build window, wiring up their AI workflow before the January crush rather than during it.

Is your season mostly volume W-2 work or the advisory returns that hold their value? The 3-minute readiness check reads your book and tells you.

What AI cannot do, and is not about to

Three things hold their value in the preparer’s hands:

• Advising on the strategy. Entity choice, multi-state nexus, Section 199A optimization, real estate professional status, retirement contribution sequencing. The questions that need a preparer who knows the client.
• Signing the return. A paid preparer is a regulated human role. The signature carries professional responsibility AI cannot.
• Defending the position to the IRS. When an audit notice arrives, the human preparer represents the client.

The thing we’d stress is that an AI error in a filed return isn’t symmetric with an AI error in a draft email. A misallocated deduction triggers an IRS notice, an amended return, maybe penalties, and a hit to your reputation. The preparer is on the hook either way, which keeps a human in the loop.

Where the tools speed a preparer up

A preparer can give AI three tasks:

• Senior-review memo generation. Year-over-year comparison with flagged variances and recommended client questions in minutes.
• Client-question synthesis across the intake backlog. The thirty pending client emails get summarized into a structured response plan.
• Drafting plain-language explanations of tax positions. First drafts for client letters that the preparer edits.

Here is one for a senior review on a junior-prepared return.

You are a senior tax reviewer at a US CPA firm. Compare the attached current-year [FORM TYPE] for [CLIENT NAME] against the prior-year filing also attached. List every line where the value moved by more than [THRESHOLD]. For each, give the most likely legitimate explanation, the most likely error explanation, and a recommended question to confirm with the client. Flag any new schedules added or removed. Do not change the return.

Paste into Claude or ChatGPT with redacted source documents, and you have a senior-reviewer-style memo in minutes rather than hours.

Moving toward the returns that hold their value

The Bureau of Labor Statistics doesn’t publish a separate projection for tax preparers, but the closest occupation it tracks, accountants and auditors, is projected to grow about 5% through 2034, faster than the average job.

Three things to do before next season:

1. Pick one AI feature inside your existing tax software and use it for every return for thirty days. Measure the time saved per return.
2. Move toward advisory and complex work. Multi-state, small-business, real-estate-investor returns. These are where the pricing power lives.
3. Document a tax-season workflow you’ve improved. “I cut senior-review time per return from forty minutes to twelve off one Claude workflow” is the number that shows up in a partner-track review.

The next two tax seasons, in our view, sort the AI-fluent preparers from the typing-from-paper crowd. The growth in the adjacent BLS data will end up describing the survivors.

So will AI replace tax preparers?

The BLS projections, the Wolters Kluwer evidence on how firms actually deploy AI, and the structural logic of the role all say the same thing. The signature on a return is a regulated act with a licensed professional behind it.

What’s collapsing is the lower end of the market: simple W-2-only returns done in volume. That work was already being absorbed by self-serve software, and AI accelerates the trend.

The opportunity sits one rung up. Small-business owners, real-estate investors, multi-state earners, and anyone with a non-trivial filing pattern need a human who can run AI well, validate the output, and stand behind the return.

Forget the trade average; the readiness check weighs your own book on the volume-versus-advisory line.

Worked through in sequence, the AI for Tax Preparers course goes from source-document extraction to advisory conversations.

The software will handle the W-2 return without you. It will not untangle a multi-state mess or tell a client what this year’s move means for next April’s bill. Become the preparer they bring the hard ones to, and the easy returns leaving is just margin you stopped chasing.