Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are undergoing rapid transformation. Entry-level tasks may be automated, and career paths may look different in the near future.
AI Resilience Report for
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.
This role is changing fast
This career is labeled as "Changing fast" because many routine tasks like checking totals, entering data, and reconciling accounts are now being automated by AI tools. These tools can handle the grunt work, allowing clerks to focus more on understanding clients and solving complex problems.
Read full analysisLearn more about how you can thrive in your career
Learn more about how you can thrive in your career
This role is changing fast
This career is labeled as "Changing fast" because many routine tasks like checking totals, entering data, and reconciling accounts are now being automated by AI tools. These tools can handle the grunt work, allowing clerks to focus more on understanding clients and solving complex problems.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Bookkeeping/Accounting Clerk
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Bookkeeping and accounting clerks do lots of routine data tasks, and many of these are already handled by software or early AI. For example, finance teams often use automated tools to check invoices, post entries, and do bank reconciliations [1] [2]. New AI-powered features in common software can now classify transactions and spot errors automatically.
Intuit (maker of QuickBooks) recently introduced AI “agents” that handle bookkeeping chores and produce simple financial summaries [3] [1]. Research shows these tools really help: one Stanford study found that accountants using AI finished monthly books over a week faster and spent about 8.5 % less time on routine back‐office work [4]. Big accounting firms are also building “smart” assistants to auto-upload documents and analyze statements [5] [1].
In practice, much of the grunt-work – checking totals, entering debits/credits, reconciling accounts – can be done by software. Humans remain involved to supervise, interpret results, and handle tricky cases. As Stanford researchers note, AI is meant to augment clerks’ work, not fully replace them, so professionals can focus on judgment and client advice [4] [2].

AI in the real world
AI tools for bookkeeping are widely available, so many firms are exploring them. In a recent CFO survey, 65% said they plan to increase AI investment, and nearly half already use generative AI for multiple finance tasks [1]. Even small businesses are getting those tools: Intuit’s AI agents and other apps promise to automate common tasks quickly [3] [1].
Big Four firms are pouring billions into AI systems to speed up routine work [5] [1]. This strong interest suggests growth.
At the same time, adoption has hurdles. Companies have to pay for new software, train staff, and ensure systems are secure. Accounting is tightly regulated, so AI tools must be very accurate.
In fact, many professionals admit they worry about AI mistakes and data privacy [4] [6]. Also, some finance leaders report pilot programs that didn’t scale well yet [1]. Labor costs play a role too: accounting clerks often earn modest wages, so businesses compare software expenses to hiring costs.
Despite these challenges, experts are optimistic. With AI taking on the dull, repetitive parts of the job, clerks will spend more time on interesting, human-side work – understanding clients, solving unexpected problems, and ensuring compliance. These judgment skills still need people, so while the tools change the job, the human role remains important [4] [2].
In short, AI is not about replacing bookkeepers overnight but about helping them work smarter.

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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
Receive, record, and bank cash, checks, and vouchers.
Compute deductions for income and social security taxes.
Perform personal bookkeeping services.
Comply with federal, state, and company policies, procedures, and regulations.
Reconcile or note and report discrepancies found in records.
Reconcile records of bank transactions.
Maintain inventory records.
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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