Budget analysts

AI Overlap Index
59.0 / 100
Mostly Exposed

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

SOC 13-2031 · Business And Financial

Bureau of Labor Statistics
Median pay
$87,930/yr
Hourly
$42/hr
Jobs 2024
50,400
Projected 2034
51,000
10-yr outlook
+1% · Slower than average
Employment change
500
Entry education
Bachelor's degree
SOC code
13-2031

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
62.5
contribution to AOI: 37.5
Automation Potential weight 10%
80.0
contribution to AOI: 8.0
Market Pressure weight 15%
55.0
contribution to AOI: 8.2
Entry Barrier Erosion weight 15%
35.0
contribution to AOI: 5.2

By seniority

multiplicative adjustment from category curve

Entry
75.5
mult 1.28x
Mid
59.0
mult 1.00x
Senior
42.5
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

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

Inform program managers of the status and availability of funds

Informing managers of fund status is largely a data retrieval and communication task. AI can automatically query financial systems, generate status reports, send notifications, and answer routine questions about fund availability with minimal human intervention, requiring oversight only for unusual situations.

BLS evidence: Budget analysts 'inform program managers of the status and availability of funds' as part of their ongoing monitoring duties.

82
automation
Important t5

Combine departmental budgets into a consolidated organizational budget

Consolidating departmental budgets is primarily a structured data aggregation task with defined rules for reconciliation and formatting. AI can automate the mechanical combination, resolve most discrepancies through rule-based logic, and flag exceptions, requiring only human review of edge cases.

BLS evidence: Budget analysts 'combine program and department budgets into a consolidated organizational budget.'

77
automation
Core t2

Review budget proposals and funding requests for completeness, accuracy, and compliance

AI excels at checking completeness against checklists, validating calculations, cross-referencing compliance rules, and flagging anomalies in structured budget documents. Human review is needed for edge cases and final approval, but AI can autonomously process the majority of routine proposals.

BLS evidence: Budget analysts 'review managers' budget proposals and funding requests for completeness, accuracy, and compliance with laws and other regulations.'

73
automation
Supporting t10

Write reports explaining budget discrepancies and recommending changes

AI can identify budget discrepancies through variance analysis, draft explanatory reports with root cause analysis, and suggest corrective actions based on patterns and rules. The writing task is well-suited to current LLMs, though human review ensures recommendations align with organizational context and politics.

BLS evidence: Budget analysts 'may write a report explaining those discrepancies and recommend changes to reconcile them' when there are differences between approved and actual spending.

71
automation
Core t3

Monitor organizational spending to ensure compliance with budget

AI can continuously monitor spending against budget categories, flag variances in real-time, and generate compliance alerts with high accuracy. The task is largely pattern-matching and rule-application on structured financial data, though human judgment is needed for investigating and resolving flagged issues.

BLS evidence: Budget analysts 'monitor organizational spending to ensure that it is within budget' and 'oversee spending to ensure that organizations comply with the budget.'

68
automation
Important t7

Estimate future financial needs for the organization

AI can build sophisticated forecasting models using historical trends, growth rates, and external economic indicators to project future needs. However, incorporating strategic shifts, policy changes, and organizational direction requires human input, making this a high-assistance task where AI does heavy analytical lifting.

BLS evidence: Budget analysts 'estimate future financial needs' as part of their typical duties.

64
automation
Core t4

Analyze costs and benefits of programs and recommend funding levels

AI can perform quantitative cost-benefit analysis, model scenarios, and identify efficiency metrics, but recommending funding levels requires weighing qualitative factors like strategic alignment, political considerations, and organizational mission that involve nuanced human judgment beyond pure calculation.

BLS evidence: Budget analysts 'analyze data to determine the costs and benefits of various programs, and they recommend funding levels based on their findings.'

58
automation
Important t8

Evaluate programs to determine whether they are producing desired results

AI can analyze quantitative program metrics, compare outcomes to targets, and identify performance gaps, but evaluating whether results are 'desired' involves subjective assessment of quality, stakeholder satisfaction, and alignment with evolving organizational goals that require human interpretation.

BLS evidence: Budget analysts 'evaluate programs to determine whether they are producing desired results' and 'evaluate how well a program is doing.'

56
automation
Core t1

Develop organizational budgets with program and project managers

AI can draft budget structures, pull historical data, and suggest allocations based on parameters, but the collaborative negotiation with managers about priorities, trade-offs, and organizational politics requires human judgment and relationship management that AI cannot fully replicate.

BLS evidence: Budget analysts 'work with program and project managers to develop the organization's budget' and 'prepare budget reports' as their primary function.

52
automation
Important t6

Explain funding requests to stakeholders, legislators, and the public

While AI can generate explanatory materials and talking points, effectively communicating with diverse stakeholders—especially legislators and the public—requires reading the room, adapting to questions, building trust, and navigating political sensitivities that current AI cannot handle in real-time interactive settings.

BLS evidence: Budget analysts 'explain funding requests to others in the organization, to legislators, and to the public' and 'may attend committee hearings to explain their recommendations.'

38
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
55
outlook: Slower than average
  • BLS projected outlook: Slower than average (1%)
  • 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)

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