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STRATUSWORKFORCE SCAN

Budget Analysts

In short: today's best AI models could do about 74% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 85% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 15% of the time, stays with people.

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Examine budget estimates for completeness, accuracy, and conformance with procedures and regulations. Analyze budgeting and accounting reports.

47,160 people do this job in the US. $91,640 a year.

A typical 40-hour week

Not yet reviewed task by task
  • AI could take on29 h
  • A person checks AI's work0 h
  • Desk work AI can't do yet5 h
  • Stays with people6 h

Budget Analysts, now: of a 40-hour week, AI could take on 29 hours, 0 hours become checking its work, 5 hours are desk work it can't do yet, and 6 hours stay with people.

The largest pieces: Compile and analyze accounting records and other data to determine the financial resources required to implement a program (about 5 h); Review operating budgets to analyze trends affecting budget needs (about 5 h); Analyze monthly department budgeting and accounting reports to maintain expenditure controls (about 3 h).

Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.

now
74%

of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

Kinds of work
  • 85%
  • 15%
  • 0%
7%

of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.

Half the desk work within reach
Already

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 85% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

What each choice means: , , , , . Every pace starts from .

At this date and pace, models finish tasks up to 2.4 work days long four times in five.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 23%. Today's estimate: 74%.

0%25%50%75%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 0% within reacho3, April 2025: 0% within reachGPT-5, August 2025: 1% within reachGemini 3 Pro, November 2025: 2% within reachClaude Opus 4.5, November 2025: 2% within reachGPT-5.2, December 2025: 3% within reachClaude Opus 4.6, February 2026: 3% within reachClaude Mythos Preview (early), April 2026: 23% within reachToday (estimate), November 2026: 74% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

Measured use over time

Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.042% went to this job's tasks in May 2026, the 236th largest of the 447 jobs that showed up at all; 3 of its 13 tasks showed up. Within each of Anthropic's methods, never across a change: 0.029% to 0.026% (released February and March 2025); 0.017% to 0.03% (August 2025 to February 2026); 0.045% to 0.042% (April to May 2026).

0%0.05%0.1%20252026released February 2025: 0.029%released March 2025: 0.026%the week of Aug 4, 2025: 0.017%the week of Nov 13, 2025: 0.022%the week of Feb 5, 2026: 0.03%April 2026: 0.045%May 2026: 0.042%
Each dot is one release's sample. A line joins releases made by the same method; a change of method starts a new line. Point at a dot for its window.
Each release
ConversationsShareRankTasks seen
Released February 20250.029%367 of 7085 of 13
Released March 20250.026%381 of 7036 of 13
The week of Aug 4, 20250.017%381 of 6552 of 13
The week of Nov 13, 20250.022%375 of 6723 of 13
The week of Feb 5, 20260.03%331 of 6773 of 13
April 20260.045%226 of 4343 of 13
May 20260.042%236 of 4473 of 13

Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.

Robots and the physical work

Anthropic rates almost none of this job's working time as physical work, so robots do not reach it.

Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.

The tasks

Sorted by . 13 tasks from .

TaskKind
Perform cost-benefit analyses to compare operating programs, review financial requests, or explore alternative financing methods.Done more than monthly by most who do it. 13%1.3 work days3.3 h to 2.8 work days56%Half by now
Compile and analyze accounting records and other data to determine the financial resources required to implement a program.Done more than monthly by most who do it. 13%5 h1.7 h to 1.3 work days89%Half by now
Review operating budgets to analyze trends affecting budget needs.Done more than monthly by most who do it. 11%2.5 h1.3 h to 5 h100%Half by now
Analyze monthly department budgeting and accounting reports to maintain expenditure controls.Done more than monthly by most who do it. 8%2.5 h50 min to 5 h99%Half by now
Provide advice and technical assistance with cost analysis, fiscal allocation, and budget preparation.Done more than yearly by most who do it. AI observed on this task.8%1.3 h25 min to 3.3 h99%Half by now
Direct the preparation of regular and special budget reports.Done more than monthly by most who do it. 8%5 h1.7 h to 1.7 work daysStays with people
Summarize budgets and submit recommendations for the approval or disapproval of funds requests.Done more than monthly by most who do it. 7%2.5 h1.3 h to 6.7 h99%Half by now
Interpret budget directives and establish policies for carrying out directives.Done more than monthly by most who do it. 7%3.3 h50 min to 1 work day86%Half by now
Seek new ways to improve efficiency and increase profits.Done more than monthly by most who do it. 7%6.7 h1.7 h to 2.1 work days61%Half by now
Examine budget estimates for completeness, accuracy, and conformance with procedures and regulations.Done more than yearly by most who do it. 6%1.7 h50 min to 5 h100%Half by now
Testify before examining and fund-granting authorities, clarifying and promoting the proposed budgets.Done more than yearly by most who do it.5%4.2 h1.3 h to 1.6 work daysStays with people
Match appropriations for specific programs with appropriations for broader programs, including items for emergency funds.Done more than monthly by most who do it. 4%2.5 h50 min to 6.7 h96%Half by now

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Questions about this job

How much of the work of Budget Analysts is within reach of AI now?
An estimated 74% of the working time is within reach of AI models now and 85% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
Which tasks of Budget Analysts come within reach first?
Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Compile and analyze accounting records and other data to determine the financial resources required to implement a program (89% of the task's time now, 100% by the end of 2028); Review operating budgets to analyze trends affecting budget needs (100% of the task's time now); and Analyze monthly department budgeting and accounting reports to maintain expenditure controls (99% of the task's time now).
Which tasks of Budget Analysts stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Direct the preparation of regular and special budget reports; Testify before examining and fund-granting authorities, clarifying and promoting the proposed budgets; and Consult with managers to ensure that budget adjustments are made in accordance with program changes. Together such tasks are about 15% of the working time.
Do people already use AI for the work of Budget Analysts?
In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.042% went to this job's tasks, the 236th largest share of the 447 jobs that showed up; 3 of its 13 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 7%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
Can robots do the physical work of Budget Analysts?
Anthropic's robot exposure rating (September 2026) finds almost none of the working time is physical work, so robots do not reach it.
How is this estimated?
From the 13 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.

How the estimates are made

This job in your state or metro area
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