AI Automation Index

Will AI Replace New Accounts Clerks?

Task-level automation exposure for New Accounts Clerks: 15 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

52% weighted task index

15 of 15 tasks scored

Median Salary

$47,670 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Medium

36,860 people hold this job — size, not growth

Projected 2025–35

-6.5% employment change

2,300 openings a year · BLS line item

Pay by state

BLS OEWS publishes 46 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$29,630 – $60,990

Highest medians

District of Columbia $60,990

North Dakota $57,970

New York $57,950

New Jersey $57,240

Connecticut $57,080

Lowest medians

Puerto Rico $29,630

Arkansas $35,680

West Virginia $38,520

Kansas $40,170

Mississippi $40,910

State figures come from the 43-4141 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 52%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 3%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 20%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 33%

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 27/100 Moderate

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

15 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) 28%

4 tasks

Medium exposure (≥ 35%) 54%

8 tasks

Low exposure (below 35%) 18%

3 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 →

Constituent Tasks

#4730 · Core · 48% automatable

Perform teller duties as required.

data analysis — Financial execution software-mediated; authorization human

Execute sales or other financial transactions. Issue money, credit, or vouchers.

#4723 · Core · 85% automatable

Compile information about new accounts, enter account information into computers, and file related forms or other documents.

data analysis — Compiling data or documentation is largely automatable

Compile data or documentation. Enter information into databases or software programs. Type documents.

#4728 · Core · 35% automatable

Collect and record customer deposits and fees and issue receipts, using computers.

physical manipulation — Handling cash/payment collection in person

Collect deposits, payments or fees.

#4726 · Core · 62% automatable

Inform customers of procedures for applying for services, such as ATM cards, direct deposit of checks, and certificates of deposit.

information retrieval — AI explains policies; human handles live questions

Explain regulations, policies, or procedures.

#4722 · Core · 50% automatable

Answer customers' questions and explain available services, such as deposit accounts, bonds, and securities.

interpersonal — Customer dialogue needs live presence and adaptation

Discuss goods or services information with customers or patrons.

#4725 · Core · 30% automatable

Interview customers to obtain information needed for opening accounts or renting safe-deposit boxes.

interpersonal — Live interviewing is human relational work

Interview employees, customers, or others to collect information.

#4724 · Core · 70% automatable

Refer customers to appropriate bank personnel to meet their financial needs.

decision support — Routing referrals from criteria; human confirms fit

Refer customers to appropriate personnel.

#4729 · Core · 55% automatable

Investigate and correct errors upon customers' request, according to customer and bank records.

interpersonal — Drafting responses easy; live de-escalation is human

Respond to customer problems or complaints.

#4731 · Core · 55% automatable

Execute wire transfers of funds.

data analysis — Financial execution software-mediated; authorization human

Execute sales or other financial transactions.

#4733 · Core · 28% automatable

Issue initial and replacement safe-deposit keys to customers, and admit customers to vaults.

physical manipulation — Physically distributing materials to people

Distribute materials to employees or customers.

#20141 · Supplemental · 55% automatable

Process loan applications.

data analysis — Financial execution software-mediated; authorization human

Execute sales or other financial transactions.

#4727 · Supplemental · 55% automatable

Obtain credit records from reporting agencies.

information retrieval — Data gathering aided; verification and consent human

Obtain personal or financial information about customers or applicants.

#4735 · Supplemental · 80% automatable

Schedule repairs for locks on safe-deposit boxes.

decision support — Calendar scheduling automatable; exceptions need human judgment

Schedule appointments.

#4734 · Supplemental · 44% automatable

Perform foreign currency transactions and sell traveler's checks.

data analysis — Financial execution software-mediated; authorization human

Sell products or services. Execute sales or other financial transactions.

#4732 · Supplemental · 20% automatable

Duplicate records for distribution to branch offices.

physical manipulation — Physical operation of office machines and jams

Operate office equipment.

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Community Sentiment

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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 →

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