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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Bookkeeping, Accounting, and Auditing Clerks are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Bookkeeping, Accounting, and Auditing Clerks are labeled "Not Very Resilient" because the most central parts of this job — entering data, categorizing transactions, reconciling accounts, and processing documents — are exactly the kinds of repetitive, rule-based tasks that AI handles best, and adoption is already well underway. With 35% of firms planning AI-driven automation in 2026 and tools that can now learn from a bookkeeper's own decisions to take over their routine workflows, the volume of traditional clerical work is shrinking in a real and measurable way.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is not very resilient
Bookkeeping, Accounting, and Auditing Clerks are labeled "Not Very Resilient" because the most central parts of this job — entering data, categorizing transactions, reconciling accounts, and processing documents — are exactly the kinds of repetitive, rule-based tasks that AI handles best, and adoption is already well underway. With 35% of firms planning AI-driven automation in 2026 and tools that can now learn from a bookkeeper's own decisions to take over their routine workflows, the volume of traditional clerical work is shrinking in a real and measurable way.
Read full analysisAnalysis of Current AI Resilience
Bookkeeping/Accounting Clerk
Updated Quarterly • Last Update: 5/14/2026

AI is already taking on a big share of day-to-day bookkeeping work, but most of that automation is focused on the most repetitive tasks rather than wiping out the whole job. Accounting Today reports that software solutions can auto-populate forms, categorize and sort transactions, reconcile journal entries and much more, and the most dramatic reduction in human involvement will be in pre-processing — sourcing documents, extracting data, and categorizing information correctly. New tools push this even further: CPA Practice Advisor describes how Dext's new "AI Assist" agent learns from users' decisions, preferences and edits and surfaces suggestions to automate repetitive tasks across future workflows, with every suggestion remaining transparent and reviewable so professionals retain full control.
This "human-in-the-loop" pattern is the dominant model: the Journal of Accountancy notes that CFOs ranked AI (40%) and cloud-based planning/forecasting (43%) among the top three technologies for enabling cost management, with agentic AI still at only 20%. So for now, clerks are being augmented on routine entries while AI handles bulk data work.

Adoption is moving fast because the economic case is strong. Accounting Today found 35% of firms plan to automate processes using AI in 2026, driven by a structural talent shortage — over 300,000 accountants have left the profession since 2020, and a survey-high 49% of CFOs cited pressure to invest in AI as a factor driving cost-management efforts. But adoption is also uneven.
The AICPA & CIMA's 2026 global study found only 24–27% of organizations report having adequate AI-skilled talent, IT system readiness, or regulatory preparedness, and fewer than 1 in 5 smaller organizations have the required talent or systems [1]. BCG warns that automation potential doesn't always translate into scaled adoption, and there will likely be a multiyear lag between automation potential and realized labor market impact [2]. The harder edge: CBS News reported [3] that Challenger, Gray & Christmas counted 21,490 AI-related cuts in April 2026 — 26% of all layoffs that month — making AI the top driver for the second month in a row.
The honest takeaway for young people: routine bookkeeping data entry is shrinking, but judgment, ethics, client communication, and oversight of AI are exactly the human skills employers are paying for now.

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They keep track of money by recording financial transactions, checking for accuracy, and organizing financial records to help businesses stay on top of their finances.
Median Wage
$49,210
Jobs (2024)
1,613,400
Growth (2024-34)
-5.8%
Annual Openings
170,000
Education
Some college, no degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Perform general office duties, such as filing, answering telephones, and handling routine correspondence.
Comply with federal, state, and company policies, procedures, and regulations.
Receive, record, and bank cash, checks, and vouchers.
Match order forms with invoices, and record the necessary information.
Calculate and prepare checks for utilities, taxes, and other payments.
Reconcile or note and report discrepancies found in records.
Compute deductions for income and social security taxes.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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