Occupation score change
IMPACT 10bookkeeping clerk exposure increased 1.0 points
AI Exposure Score moved from a previous calculation to 60/100 under methodology v1.0. 3 evidence item(s) contributed.
Bookkeeping, Accounting, and Auditing Clerks
Category: Office & administrative support · SOC 43-3031.00 · Industry: Financial services
60/100
increased by +1.0 vs last
Moderate exposure
3 Oct 2026
19 hours ago · sources: BLS OES (approx) · O*NET
3 sources
13 core tasks shown · 15 secondary hidden
Bookkeeping, Accounting, and Auditing Clerks High exposure: 10 of 13 core tasks show high task automation potential : exposure 60/100 (moderate exposure).
1 model with published evidence against this job. Strongest: Llama 3.1 405B (84/100 capability).
Score breakdown
Why this score?
Every component is stored with the score row and can be recomputed from the evidence table.
AI Exposure (composite)60/100
Methodology 2026-09-a · score v1.0 · input hash 787436ba094d3e4f
AI capability exposure77/100
Strength of current models on the capabilities this job's tasks require.
Task automation potential86/100
Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.
Observed AI adoption0/100
Evidence that AI is actually being used for this work.
Labour-market signal58/100
Observed changes in postings, employment or earnings.
Evidence strength52/100
Quantity and source quality of the evidence behind the score.
3 evidence item(s) contribute. Calculated 19 hours ago. 3 Oct 2026 UTC.
Overview
Compute, classify, and record numerical data to keep financial records complete. Perform any combination of routine calculating, posting, and verifying duties to obtain primary financial data for use in maintaining accounting records. May also check the accuracy of figures, calculations, and postings pertaining to business transactions recorded by other workers.
Employment
≈1,400,000
approx. BLS OES
Median wage
≈$47,000
approx. BLS OES
Tasks tracked
28
linked to this occupation
Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.
Tasks
Task-level automation exposure
Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.
core task · importance 4.8/5
- Check figures, postings, and documents for correct entry, mathematical accuracy, and proper codes.80
core task · importance 4.7/5
core task · importance 4.6/5
core task · importance 4.5/5
core task · importance 4.5/5
core task · importance 4.3/5
core task · importance 4.3/5
core task · importance 4.3/5
core task · importance 4.2/5
core task · importance 4.2/5
core task · importance 4.2/5
core task · importance 4.2/5
core task · importance 4.1/5
Killers
Which models affect this job most
Ranked by strongest demonstrated capability. Task and evidence counts come from the attributed evidence trail below.
- 01Llama 3.1 405B84/100
Meta · 1 evidence item
Evidence
Evidence trail
3 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.
- model releaseincreasesconfidence 88/100 · magnitude 4623 Jul 2024
Llama 3.1 405B and subsequent open-weight releases let organisations run near-frontier models on their own infrastructure, changing the cost and compliance barriers to automation.
A cost-and-adoption enabler rather than a capability jump. Included because cost is one of the main reasons high capability does not translate into adoption.
Source: Meta AI · Updated 23 Jul 2024
- labor marketincreasesconfidence 76/100 · magnitude 5829 Aug 2024
BLS ten-year employment projections list data entry keyers and closely related clerical occupations among the occupations with the largest projected employment declines.
Projections are produced from structural trends including technology, demographics and demand; they are not AI-specific and not measurements. Exact series values are available from the source.
Source: BLS Employment Projections · Updated 29 Aug 2024
- researchincreasesconfidence 55/100 · magnitude 4826 Mar 2023
The analysis estimates that a substantial share of current work tasks could be automated by generative AI, with a headline estimate of around 300 million full-time jobs globally exposed, and finds that most exposed occupations are partially rather than fully exposed.
Widely quoted and widely misread. It is a task-exposure scenario, not a forecast of unemployment. Used here at low-to-medium weight, and only for the exposure discussion, not for occupation-level scoring.
Source: Goldman Sachs Global Investment Research — The Potentially Large Effects of AI on Economic Growth · Updated 26 Mar 2023
Historical trend
Exposure over time
Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.
Reconstruction, not measurement. 5 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.
Recent events
Signals affecting this occupation
- Labour market updateIMPACT 58
Data entry occupations are already among the fastest-declining projections
BLS ten-year employment projections list data entry keyers and closely related clerical occupations among the occupations with the largest projected employment declines.
- New modelIMPACT 46
Open-weight frontier-class models enabled self-hosted automation
Llama 3.1 405B and subsequent open-weight releases let organisations run near-frontier models on their own infrastructure, changing the cost and compliance barriers to automation.
- Research publishedIMPACT 48
Estimate: about 300 million full-time jobs exposed to automation from generative AI
The analysis estimates that a substantial share of current work tasks could be automated by generative AI, with a headline estimate of around 300 million full-time jobs globally exposed, and finds that most exposed occupations are partially rather than fully exposed.
Related
Related Occupations
Occupations sharing major SOC group (43) with Bookkeeping, Accounting, and Auditing Clerks.
faq
Frequently Asked Questions
Common questions regarding Bookkeeping, Accounting, and Auditing Clerks and AI exposure.
Will AI replace Bookkeeping, Accounting, and Auditing Clerks?
Current AI models show an exposure score of 60/100 for Bookkeeping, Accounting, and Auditing Clerks. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Moderate exposure reflects assistance in routine information-handling while core responsibilities require human judgment.
Which tasks in Bookkeeping, Accounting, and Auditing Clerks have the highest AI exposure?
The most exposed tasks for Bookkeeping, Accounting, and Auditing Clerks include "Operate computers programmed with accounting software to record, store, and analyze information." (95% exposure) and "Perform financial calculations, such as amounts due, interest charges, balances, discounts, equity, and principal." (95% exposure).
What aspects of Bookkeeping, Accounting, and Auditing Clerks can AI not do yet?
Tasks with the lowest AI exposure for Bookkeeping, Accounting, and Auditing Clerks include "Receive, record, and bank cash, checks, and vouchers." (20% exposure) and "Comply with federal, state, and company policies, procedures, and regulations." (35% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.
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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.