AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Tax Preparers

Strong

AI agents could handle several recurring digital workflows in this job, while people remain responsible for judgment and final decisions.

Where agents can help most

  1. 1

    Draft returns and check math

    Use an agent to enter client figures from W-2s, 1099s, receipts, and organizer sheets into a return draft, then total the lines and compare the math with the source documents.

  2. 2

    Review deductions and credits

    Use an agent to review income statements, expense records, and prior-year notes, then suggest which deductions and credits appear to fit the return and which supporting documents are missing.

  3. 3

    Estimate fees and prepare billing

    Use an agent to read the return’s form mix, input volume, and time spent in your billing notes or spreadsheet, then calculate a fee estimate using your posted pricing rules.

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O*NET-SOC 13-2082.00 · #58 of 923

Result context

How to read this result

Prepare tax returns for individuals or small businesses.

National position
#58 of 923 occupations
Top 7% of occupations
Overall AI delegation potential
Strong
Potential of score-contributing workflows
Strong · 83/100
Meaningful work covered
74%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Draft returns and check math

How you could use an agent

Use an agent to enter client figures from W-2s, 1099s, receipts, and organizer sheets into a return draft, then total the lines and compare the math with the source documents. It can also make a checklist of items that still need your review before the return is finalized.

Where you stay involved

You check the draft for reasonableness, resolve anything that does not fit the client’s records, and decide when the return is ready for final preparation. You handle any entry that seems materially wrong.

Review level: Medium

2

Review deductions and credits

How you could use an agent

Use an agent to review income statements, expense records, and prior-year notes, then suggest which deductions and credits appear to fit the return and which supporting documents are missing. It can assemble a working summary so you can decide what to claim and what needs more client documentation.

Where you stay involved

You decide which items are actually allowed, confirm the support in the file, and make the final call on anything unusual or unclear. You do the legal judgment, not the agent.

Review level: High

3

Estimate fees and prepare billing

How you could use an agent

Use an agent to read the return’s form mix, input volume, and time spent in your billing notes or spreadsheet, then calculate a fee estimate using your posted pricing rules. It can prepare a draft invoice so you can review the amount before the client is billed.

Where you stay involved

You decide whether the return falls into an unusual pricing situation, confirm the estimate, and approve the bill. You handle any special pricing request yourself.

Review level: Medium

Supporting analysis

Why this occupation's AI delegation potential is Strong

Underlying methodology score

78 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency85
AI capability84
Digital actionability90
End-to-end leverage76
Safety & reversibility78
Meaningful-work coverage
74%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
12 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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