GistGarden

Will AI replace Tax Preparers?

Work in Tax Preparers sits in the in-between: AI reaches some of it (~62% in theory) but is only measured doing about 13% today — part human, part machine.

The Hybrid Zone Part human, part AI — already a blend.

O*NET-SOC 13-2082

How your 12 core tasks split

100% within AI's reach
3 AI can do this now
9 AI speeds this up
0 Still on you
AI could do · GPT-4 study
62%
49-pt gap
AI actually does · 2026 report
13%

Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.

⚡ The short answer

Back in 2023, GPT-4 judged AI could, in theory, assist with a high share of this job's tasks (~62%). By late 2025, real-world AI use had reached about 13% of its task activity (growing but still limited). The gap between that 2023 forecast and today is the real story.

Where this job sits among 738 jobs

Being automatedTicking (can, but unused)Relatively safeQuietly happeningYOU0%50%100%0%40%75% → How much AI could do (theory) → How much AI is actually used (late 2025)

Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.

Lowconfidence

Don't trust a single AI-risk score here

For this job, the signals disagree sharply. AI's theoretical reach looks high (~62%), but real-world use is only ~13%, and how much AI "can" do shifts wildly by model — one 2026 study found the share of "high-risk" jobs swung 2.7% to 51.5% just by changing which AI did the rating. This page shows the spread instead of pretending there's one number.

See all 12 tasks, ratedBased on real task-level AI scores — click to collapse
AI can already do this3 of 12
  • Compute taxes owed or overpaid, using adding machines or personal computers, and complete entries on forms, following tax form instructions and tax tables.
  • Check data input or verify totals on forms prepared by others to detect errors in arithmetic, data entry, or procedures.
  • Calculate form preparation fees according to return complexity and processing time required.
AI speeds this up9 of 12
  • Use all appropriate adjustments, deductions, and credits to keep clients' taxes to a minimum.
  • Interview clients to obtain additional information on taxable income and deductible expenses and allowances.
  • Review financial records, such as income statements and documentation of expenditures to determine forms needed to prepare tax returns.
  • Prepare or assist in preparing simple to complex tax returns for individuals or small businesses.
  • Furnish taxpayers with sufficient information and advice to ensure correct tax form completion.
  • Consult tax law handbooks or bulletins to determine procedures for preparation of atypical returns.
  • Explain federal and state tax laws to individuals and companies.
  • Answer questions and provide future tax planning to clients.
  • Schedule appointments with clients.
Still on you0 of 12
  • ⚠️ None — every core task is at least partly within AI's reach. The job won't vanish, but almost all of it changes.

My job is in The Hybrid Zone 🤝

Half me, half machine. Honestly? Not mad about it.

Theoretical estimate · not a prediction · gistgarden.com

How we measured this — and how fresh it is

AI's theoretical reach data: 2023

From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.

Real-world AI use 2026 report

From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).

Task list & ratings O*NET 30.3

Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.

Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.

This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.