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Brokerage Clerks

Occupation · SOC 43-4011.00

Perform duties related to the purchase, sale, or holding of securities. Duties include writing orders for stock purchases or sales, computing transfer taxes, verifying stock transactions, accepting and delivering securities, tracking stock price fluctuations, computing equity, distributing dividends, and keeping records of daily transactions and holdings.

Also called: Registered Sales Assistant · Sales Assistant · Sales Trader · Trading Assistant · Account Administrator · Client Associate · Client Service Associate · Operations Clerk · Operations Coordinator · Registered Account Administrator · Broker Assistant · Broker Associate

Job family: Office and Administrative Support Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-43-4011-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

Use as a copilot

Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.

  • Perform clerical tasks, such as answering phones or distributing mail. · 0.4%
See collaboration patterns →

Keep a human in the loop

Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.

  • Perform clerical tasks, such as answering phones or distributing mail. · 97.4% need a human
See the boundary tasks →

96th-percentile task overlap — yet about 4,100 openings a year (-9.5% projected, BLS), and observed AI use leans 4103% copilot, not hand-off (AEI) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) High 81st 1.1
LLM task exposure, γ (OpenAI / Eloundou) High 95th 1.0
AI assistant applicability (Microsoft) High 97th 0.3

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.5), with simple added tooling (β 0.8), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 1.0 · 97th percentile among occupations · High

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Document security transactions, such as purchases, sales, conversions, redemptions, or payments, using computers, accounting ledgers, or certificate records. 0.6%
File, type, or operate standard office machines. 0.3%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -9.5% by 2034
Projected annual openings 4,100
Employment 2024 → 2034 40,800 → 36,900

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

64% mean task exposure (2025)
99th percentile of 427 placed occupations
−2 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Statistical, Finance and Insurance Clerks · 4312 64% Gradient 4

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Working with AI in this job

How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.

Augmentation vs. automation 41.0% working with AI · — handed to AI
Most common way people use AI here Iteration · you and AI go back and forth
Typical AI autonomy 3.0 / 5 · higher = AI acts more independently
Used for work (vs. personal / coursework) 94.9%

What people delegate to AI

The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.

Task How Usage
Perform clerical tasks, such as answering phones or distributing mail. Iteration 0.4%

Where a human is still needed

Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.

Perform clerical tasks, such as answering phones or distributing mail. 97.4%

What people most often hand AI here

Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.

  • Help me perform clerical tasks, such as answering phones or distributing mail.

    From: Perform clerical tasks, such as answering phones or distributing mail. · 0.4% of measured AI use · task iteration

Tasks

All 10 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

English Language 4.1
Customer and Personal Service 3.8
Mathematics 3.5
Computers and Electronics 3.3
Economics and Accounting 3.2
Administrative 3.1
Sales and Marketing 2.8

Abilities

Oral Comprehension 4.0
Oral Expression 3.9
Written Comprehension 3.8
Near Vision 3.8
Written Expression 3.6
Speech Recognition 3.6
Speech Clarity 3.6
Information Ordering 3.5
Problem Sensitivity 3.4
Deductive Reasoning 3.3
Inductive Reasoning 3.1
Mathematical Reasoning 3.1
Number Facility 3.1
Selective Attention 3.1
Category Flexibility 2.9
Flexibility of Closure 2.9
Finger Dexterity 2.9

Essential skills

Active Listening 3.9
Speaking 3.9
Reading Comprehension 3.8
Critical Thinking 3.4
Writing 3.1
Monitoring 3.1
Mathematics 3.0
Active Learning 3.0

Transferable skills

Time Management 3.5
Social Perceptiveness 3.0
Service Orientation 3.0
Judgment and Decision Making 3.0
Coordination 2.9
Negotiation 2.9
Complex Problem Solving 2.9
Systems Analysis 2.9

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 46.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Outlook Electronic mail software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology In demand
Microsoft Word Word processing software Hot technology In demand
Adobe Acrobat Document management software Hot technology
Adobe Creative Cloud software Graphics or photo imaging software Hot technology
Adobe Illustrator Graphics or photo imaging software Hot technology
Adobe InDesign Desktop publishing software Hot technology
Adobe Photoshop Graphics or photo imaging software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft SharePoint Document management software Hot technology
Oracle PeopleSoft Enterprise resource planning ERP software Hot technology
Salesforce software Customer relationship management CRM software Hot technology
Structured query language SQL Data base user interface and query software Hot technology
Account management software Accounting software
Adobe Dreamweaver Web page creation and editing software
Bloomberg Professional Financial analysis software
HEAT Software GoldMine Customer relationship management CRM software
Microsoft Dynamics Enterprise resource planning ERP software
Microsoft Visual FoxPro Object oriented data base management software
Online trading software Desktop communications software
Royal Alliance VISION2020 Core Customer relationship management CRM software
Scheduling software Calendar and scheduling software
Transaction processing software Data base user interface and query software
Web browser software Internet browser software
WiredRed Software e/pop Basic Desktop communications software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Telephone Conversations 5.0
E-Mail 5.0
Contact With Others 4.8
Importance of Being Exact or Accurate 4.7
Face-to-Face Discussions with Individuals and Within Teams 4.7
Time Pressure 4.6
Indoors, Environmentally Controlled 4.5
Importance of Repeating Same Tasks 4.5
Deal With External Customers or the Public in General 4.4
Work With or Contribute to a Work Group or Team 4.3
Spend Time Sitting 4.1
Determine Tasks, Priorities and Goals 4.1
Frequency of Decision Making 3.9
Freedom to Make Decisions 3.9
Impact of Decisions on Co-workers or Company Results 3.9
Physical Proximity 3.7
Spend Time Making Repetitive Motions 3.4
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.4
Degree of Automation 3.3
Conflict Situations 3.2
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.2
Consequence of Error 3.2
Coordinate or Lead Others in Accomplishing Work Activities 3.1
Dealing With Unpleasant, Angry, or Discourteous People 2.8
Level of Competition 2.8
Written Letters and Memos 2.8
Work Outcomes and Results of Other Workers 2.7
Spend Time Standing 2.4
Exposed to Contaminants 1.7
Spend Time Walking or Running 1.7
Pace Determined by Speed of Equipment 1.7
Health and Safety of Other Workers 1.4
Public Speaking 1.3
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.3
Spend Time Bending or Twisting Your Body 1.3
Exposed to Cramped Work Space, Awkward Positions 1.3
Exposed to Very Hot or Cold Temperatures 1.1
Dealing with Violent or Physically Aggressive People 1.1
Exposed to Radiation 1.1
Spend Time Keeping or Regaining Balance 1.1

How to get in

Job zone
Zone 3 — Job Zone Three: Medium Preparation Needed
Education
Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
Preparation level
SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.

What to study: Business, Management, Marketing, and Related Support Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Education of current workers

Share of people in this occupation at each level of education.

Bachelor's Degree 38.2%
High School Diploma 29.1%
Some College Courses 19.9%
Associate's Degree (or other 2-year degree) 12.7%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Conventional 7.0
Enterprising 4.5
Social 2.3
Realistic 2.1

Interest areas

Office Work 6.0
Finance 5.4
Accounting 5.1
Sales 2.9
Mathematics/Statistics 2.1
Management/Administration 2.0
Information Technology 1.9
Personal Service 1.8
Human Resources 1.6

Work styles

Attention to Detail 2.7
Dependability 2.6
Integrity 2.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$48k10th$54k25th$63kMedian$77k75th$92k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
41k202437k2034 (proj.)-9.5% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $47,730
25th percentile $53,880
Median (50th) $62,940
75th percentile $77,400
90th percentile $91,650
People employed 40,090

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Finance and Insurance · Sector 35,300 $63,550
Insurance Agencies and Brokerages · National industry 1,730 $60,650
Management of Companies and Enterprises · Sector 1,380 $61,110
Educational Services · Sector 730 $51,930
Transportation and Warehousing · Sector 700 $58,460
Administrative and Support and Waste Management and Remediation Services · Sector 490 $59,090
Information · Sector 90 $56,520
Construction · Sector 50 $56,640
Plumbing, Heating, and Air-Conditioning Contractors · National industry 50 $56,640
Wholesale Trade · Sector $43,590
Professional, Scientific, and Technical Services · Sector $61,350
Temporary Help Services · National industry $45,450

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Finance and Insurance · Sector 21.8× 35,300
Insurance Agencies and Brokerages · National industry 6.72× 1,730
Management of Companies and Enterprises · Sector 1.89× 1,380
Transportation and Warehousing · Sector 0.36× 700
Administrative and Support and Waste Management and Remediation Services · Sector 0.21× 490
Educational Services · Sector 0.21× 730

Part of the Financial Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Brokerage Clerks sits at the 96th percentile of AI task-overlap and the 51st percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Brokerage Clerks Tellers Billing and Posting Clerks Bookkeeping, Accounting, and Auditing Clerks Bill and Account Collectors Securities, Commodities, and Financial Services Sales Agents Financial and Investment Analysts Customer Service Representatives Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Brokerage Clerks — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 99th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Brokerage Clerks show 96th-percentile AI task overlap — and about 4,100 annual U.S. openings

  • Brokerage Clerks rank in the 96th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 4,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be declining (-9.5%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $62,940, across about 40,090 U.S. workers.BLS OEWS (May 2024)
  • Of the AI use actually observed for this work, 41% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Brokerage Clerks show 96th-percentile AI task overlap — and about 4,100 annual U.S. openings

• Brokerage Clerks rank in the 96th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 4,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be declining (-9.5%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $62,940, across about 40,090 U.S. workers. (BLS OEWS (May 2024))
• Of the AI use actually observed for this work, 41% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2)

Source: Singulariki — "Brokerage Clerks". https://singulariki.com/roles/role-43-4011-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Brokerage Clerks." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-43-4011-00

APA

Singulariki. (2026). Brokerage Clerks. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-43-4011-00

BibTeX
@misc{singulariki-role-43-4011-00,
  title  = {Brokerage Clerks},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-43-4011-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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