Tax examiners and collectors, and revenue agents

AI Overlap Index
55.6 / 100
Mostly Exposed

Most of the workflow is automatable. Human judgment remains for exceptions, clients, or ambiguity.

SOC 13-2081 · Business And Financial

Bureau of Labor Statistics
Median pay
$59,740/yr
Hourly
$29/hr
Jobs 2024
57,600
Projected 2034
56,500
10-yr outlook
-2% · Decline
Employment change
-1,000
Entry education
Bachelor's degree
SOC code
13-2081

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
59.4
contribution to AOI: 35.6
Automation Potential weight 10%
80.0
contribution to AOI: 8.0
Market Pressure weight 15%
45.0
contribution to AOI: 6.8
Entry Barrier Erosion weight 15%
35.0
contribution to AOI: 5.2

By seniority

multiplicative adjustment from category curve

Entry
71.2
mult 1.28x
Mid
55.6
mult 1.00x
Senior
40.0
mult 0.72x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

9 tasks · model: claude-sonnet-4-5-20250929
Supporting t9

Keep records on each active case including contact information and actions taken

Record-keeping of contact information and actions is straightforward data entry and database management. AI systems already automate CRM functions, logging communications, and maintaining case histories with minimal human intervention beyond initial system setup.

BLS evidence: Tax examiners and collectors, and revenue agents keep records on each active case including telephone numbers and actions taken.

92
automation
Important t8

Assess fees, interest, and penalties on additional taxes owed

Calculating fees, interest, and penalties is a rule-based computational task. AI can apply tax code formulas, compound interest calculations, and penalty schedules with perfect consistency. This is essentially automated calculation with minimal judgment required.

BLS evidence: If a taxpayer owes additional taxes, tax examiners adjust the total amount by assessing fees, interest, and penalties and then notify the taxpayer of the total amount owed.

88
automation
Important t6

Notify taxpayers of overpayment or underpayment and issue refunds or request payment

This is largely computational: calculating differences between filed and correct amounts, generating notifications, and triggering refund or payment request workflows. AI can perform these calculations and generate communications with minimal human oversight, requiring review only for unusual cases.

BLS evidence: Tax examiners and collectors, and revenue agents notify taxpayers of overpayment or underpayment and issue a refund or request additional payment.

82
automation
Important t5

Evaluate financial information using accounting procedures and knowledge of tax laws

AI excels at applying accounting procedures to structured financial data and can reference tax law databases comprehensively. Modern systems can analyze financial statements, identify discrepancies, and apply relevant tax code sections with accuracy matching or exceeding median human performance.

BLS evidence: They evaluate financial information, using their understanding of accounting procedures and knowledge of changes to tax laws and regulations.

75
automation
Core t1

Review filed tax returns to determine whether credits and deductions are lawful

AI can parse tax returns, cross-reference against tax code databases, and flag questionable deductions with high accuracy. Current LLMs with RAG can interpret complex tax regulations and apply them to specific cases, though edge cases and novel deduction structures may require human review.

BLS evidence: Tax examiners and collectors, and revenue agents review tax returns, and much of a tax examiner's job involves making sure that tax credits and deductions claimed by taxpayers are lawful.

72
automation
Important t4

Contact taxpayers to address problems and request supporting documentation

AI can generate templated contact messages, parse responses, and request standard documentation via email or portal. However, handling non-standard taxpayer questions, interpreting ambiguous responses, and managing escalated disputes still require human judgment in many cases.

BLS evidence: Tax examiners and collectors, and revenue agents contact taxpayers to address problems and to request supporting documentation.

58
automation
Important t7

Investigate and verify taxpayer claims of inability to pay taxes

Investigating inability to pay requires analyzing financial documents (which AI can do) but also assessing credibility, identifying hidden assets through investigative techniques, and making judgment calls about hardship claims that involve understanding human behavior and context beyond document analysis.

BLS evidence: When delinquent taxpayers claim that they cannot pay their taxes, collectors investigate and verify the claims by researching financial statements or mortgages.

42
automation
Core t3

Collect overdue tax payments from delinquent taxpayers

Collection involves negotiation, assessment of taxpayer circumstances through conversation, judgment about payment plans, and often requires legal escalation or physical asset seizure coordination. AI can automate initial contact and payment processing but cannot handle the adaptive negotiation and enforcement aspects.

BLS evidence: Tax collectors deal with overdue accounts and work with the taxpayer to settle the debt, including setting up payment plans or placing liens on assets.

35
automation
Core t2

Conduct field audits and investigations of income tax returns to verify information

Field audits require physical presence at business locations, examination of physical records, real-time interviewing of taxpayers with adaptive questioning, and judgment calls about credibility and environmental context that AI cannot perform remotely or through robotics at current capability levels.

BLS evidence: Revenue agents conduct field audits and investigations of income tax returns to verify information or to update tax liabilities, handling complex tax returns of large businesses and corporations.

28
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
80
karpathy 8/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
45
outlook: Decline
  • BLS projected outlook: Decline (-2%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
35
ed: Bachelor's degree
  • BLS typical entry-level education: Bachelor's degree
  • Credential trend signal (annual refresh)

Related in Business And Financial

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