Community Sentiment
Do you agree?
Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Will AI Replace Budget Analysts?
Task-level automation exposure for Budget Analysts: 13 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
68%
weighted task index
13 of 13 tasks scored
Median Salary
$91,640 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Medium
47,160 people hold this job — size, not growth
Projected 2025–35
+1.9%
employment change
2,900 openings a year · BLS line item
Pay by state
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$50,560 – $124,590
Highest medians
District of Columbia $124,590
Maryland $106,020
Virginia $105,470
California $99,520
Alabama $99,490
Lowest medians
Puerto Rico $50,560
Virgin Islands $64,990
Guam $67,200
Arkansas $71,800
Kentucky $76,860
State figures come from the 13-2031 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 68%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 73%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 16%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 20/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
13 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 71%
9 tasks
Medium exposure (≥ 35%) 24%
3 tasks
Low exposure (below 35%) 5%
1 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Emerging & rewritten tasks
Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
- New 08/2024 · Incumbent
Communicate financial reports and budgets to stakeholders.
- New 08/2024 · Incumbent
Submit and monitor salary raises.
Constituent Tasks
#3394 · Core · 82% automatable
Analyze monthly department budgeting and accounting reports to maintain expenditure controls.
data analysis — Budgetary/accounting analysis is routine quantitative work
Analyze budgetary or accounting data.
#3398 · Core · 55% automatable
Provide advice and technical assistance with cost analysis, fiscal allocation, and budget preparation.
decision support — AI drafts financial guidance; accountability and tailoring human
Advise others on financial matters.
#3401 · Core · 82% automatable
Review operating budgets to analyze trends affecting budget needs.
data analysis — Budgetary/accounting analysis is routine quantitative work
Analyze budgetary or accounting data.
#3405 · Core · 77% automatable
Compile and analyze accounting records and other data to determine the financial resources required to implement a program.
data analysis — Budgetary/accounting analysis is routine quantitative work
Gather financial records. Analyze budgetary or accounting data.
#3402 · Core · 83% automatable
Examine budget estimates for completeness, accuracy, and conformance with procedures and regulations.
data analysis — Financial accuracy checks, human reviews exceptions
Verify accuracy of financial information.
#3399 · Core · 67% automatable
Summarize budgets and submit recommendations for the approval or disapproval of funds requests.
data analysis — Reports and budgets drafted; human owns assumptions
Prepare financial documents, reports, or budgets. Advise others on financial matters.
#3396 · Core · 45% automatable
Consult with managers to ensure that budget adjustments are made in accordance with program changes.
interpersonal — Strategy discussion with managers is accountable judgment
Discuss business strategies, practices, or policies with managers.
#3395 · Core · 78% automatable
Direct the preparation of regular and special budget reports.
data analysis — Reports and budgets drafted; human owns assumptions
Prepare financial documents, reports, or budgets.
#3404 · Core · 55% automatable
Interpret budget directives and establish policies for carrying out directives.
decision support — AI drafts guidelines; authority and context are human
Establish organizational guidelines or policies.
#3403 · Core · 80% automatable
Perform cost-benefit analyses to compare operating programs, review financial requests, or explore alternative financing methods.
data analysis — Analyzes structured financial data with tools
Analyze business or financial data.
#3397 · Core · 80% automatable
Match appropriations for specific programs with appropriations for broader programs, including items for emergency funds.
data analysis — Analyzes structured financial data with tools
Analyze business or financial data.
#3400 · Core · 72% automatable
Seek new ways to improve efficiency and increase profits.
data analysis — AI analyzes operations to flag efficiency gains
Identify opportunities to improve operational efficiency.
#3406 · Supplemental · 15% automatable
Testify before examining and fund-granting authorities, clarifying and promoting the proposed budgets.
interpersonal — Testimony carries legal accountability and live presence
Testify at legal or legislative proceedings.
Embed this calculator on your site ↓
Bloggers & authors: Embed this interactive calculator directly in your articles or comparison guides. It loads dynamically via a responsive iframe (auto-resizing to prevent double scrollbars) and provides a direct, high-value tool for your audience.
<div class="giniloh-calculator-embed" data-calculator="budget-analysts"></div>
<script src="https://giniloh.com/embed.js" async></script> Method
How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
Best AI Proof Jobs in a Changing Market
Worried robots are coming for your paycheck? You’re not alone—but the real story is far more hopeful. This guide cuts through the scare headlines to reveal exactly where smart, sustainable career opportunities exist right now. We’ve curated a list of true ai proof jobs—roles in healthcare, skilled trades, and cybersecurity that not only survive automation but thrive because of human judgment and empathy. You’ll get specific, money-making data on projected growth (the BLS says wind turbine technicians, for instance, will grow 44% by 2032), real salary ranges from active job listings, and a simple self-assessment quiz to identify your own most resilient path. Plus, we name companies hiring today and the niche job boards they use. Stop worrying and start planning—your secure career is closer than you think.
Read Article ->