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Securities, Commodities, and Financial Services Sales Agents

Occupation · SOC 41-3031.00

Buy and sell securities or commodities in investment and trading firms, or provide financial services to businesses and individuals. May advise customers about stocks, bonds, mutual funds, commodities, and market conditions.

Also called: Broker · Equity Trader · Financial Advisor · Financial Consultant · Commodities Broker · Investment Representative · Investments Advisor · Investments Specialist · Personal Banker · Trader · Account Administrator · Account Manager

Job family: Sales and Related Occupations

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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.

91st-percentile task overlap — yet about 38,100 openings a year (+3.3% projected, BLS) . 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 84th 1.3
LLM task exposure, γ (OpenAI / Eloundou) High 95th 1.0
AI assistant applicability (Microsoft) High 76th 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.6), 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 0.0 · 12th percentile among occupations · Low

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.

Explain stock market terms or trading practices to clients. 6.0%
Offer advice on the purchase or sale of particular securities. 3.2%
Supply the latest price quotes on any security, as well as information on the activities or financial positions of the corporations issuing these securities. 2.6%
Devise trading, option, or hedge strategies. 2.3%
Prepare financial reports to monitor client or corporate finances. 1.8%
Track and analyze factors that affect price movement, such as trade policies, weather conditions, political developments, or supply and demand changes. 1.7%

Job outlook

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

Outlook About average · +3.3% by 2034
Projected annual openings 38,100
Employment 2024 → 2034 514,500 → 531,600

“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 2 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

53% mean task exposure (2025)
91st percentile of 427 placed occupations
−8 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Securities and Finance Dealers and Brokers · 3311 63% Gradient 4
Trade Brokers · 3324 44% Gradient 2

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.

Tasks

All 30 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

Customer and Personal Service 4.3
Economics and Accounting 3.9
English Language 3.8
Mathematics 3.7
Sales and Marketing 3.7
Computers and Electronics 3.5
Administration and Management 3.4
Law and Government 3.1

Abilities

Oral Comprehension 4.1
Oral Expression 3.9
Deductive Reasoning 3.8
Written Comprehension 3.6
Speech Clarity 3.6
Written Expression 3.5
Problem Sensitivity 3.5
Speech Recognition 3.5
Inductive Reasoning 3.4
Information Ordering 3.4
Near Vision 3.4
Fluency of Ideas 3.3
Category Flexibility 3.3
Mathematical Reasoning 3.3
Number Facility 3.1

Essential skills

Active Listening 3.8
Critical Thinking 3.8
Monitoring 3.6
Reading Comprehension 3.5
Speaking 3.5
Active Learning 3.5
Writing 3.4
Mathematics 3.1

Transferable skills

Judgment and Decision Making 3.6
Persuasion 3.5
Social Perceptiveness 3.4
Complex Problem Solving 3.4
Service Orientation 3.3
Systems Analysis 3.3
Systems Evaluation 3.1
Time Management 3.1
Management of Financial Resources 3.1

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 50.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
C++ Object or component oriented development software Hot technology
Linux Operating system software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft SharePoint Document management software Hot technology
Microsoft Visual Basic Development environment software Hot technology
Microsoft Windows Operating system software Hot technology
Microsoft Word Word processing software Hot technology
Oracle Java Object or component oriented development software Hot technology
Oracle PeopleSoft Enterprise resource planning ERP software Hot technology
Python Object or component oriented development software Hot technology
R Object or component oriented development software Hot technology
Salesforce software Customer relationship management CRM software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
The MathWorks MATLAB Analytical or scientific software Hot technology
UNIX Operating system software Hot technology
ADP/Vantra VOLTS Desktop communications software
AIQ Systems TradingExpert Pro Financial analysis software
AnalyzerXL Financial analysis software
Aspen Graphics Technical Analysis Software Financial analysis software
Bloomberg Professional Financial analysis software
BondDesk Group Trader WorkStation Financial analysis software
CableSoft LiveWire Trader Financial analysis software
Calypso Technology Calypso Asset Management Financial analysis software
Charles River Development Charles River Investment Management System Financial analysis software
Citi The Yield Book Calculator Financial analysis software
CQG Integrated Client Financial analysis software
CSI Complex Systems ClientTrade Customer relationship management CRM software
Customer information control system CICS Transaction server software
Database management software Data base user interface and query software
Derivicom FinOptions XL Financial analysis software
Email software Electronic mail software
FileMaker Pro Data base user interface and query software
Financial needs analysis software Financial analysis software
Fixed income alternative trading systems ATS Financial analysis software
Fund accounting software Accounting software
FundCount Web Data base user interface and query software

Showing the top 40 of 69.

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.

E-Mail 5.0
Telephone Conversations 4.9
Face-to-Face Discussions with Individuals and Within Teams 4.7
Contact With Others 4.7
Importance of Being Exact or Accurate 4.5
Determine Tasks, Priorities and Goals 4.4
Freedom to Make Decisions 4.3
Impact of Decisions on Co-workers or Company Results 4.3
Frequency of Decision Making 4.3
Deal With External Customers or the Public in General 4.3
Spend Time Sitting 4.3
Indoors, Environmentally Controlled 4.2
Work With or Contribute to a Work Group or Team 4.1
Level of Competition 3.9
Time Pressure 3.9
Written Letters and Memos 3.4
Consequence of Error 3.3
Importance of Repeating Same Tasks 3.2
Coordinate or Lead Others in Accomplishing Work Activities 3.1
Work Outcomes and Results of Other Workers 3.0
Physical Proximity 3.0
Conflict Situations 2.9
Dealing With Unpleasant, Angry, or Discourteous People 2.8
Degree of Automation 2.6
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.3
Public Speaking 2.3
Spend Time Making Repetitive Motions 2.2
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.1
Health and Safety of Other Workers 2.1
In an Enclosed Vehicle or Operate Enclosed Equipment 2.0
Spend Time Standing 1.9
Indoors, Not Environmentally Controlled 1.6
Spend Time Walking or Running 1.6
Outdoors, Under Cover 1.3
Pace Determined by Speed of Equipment 1.2
Dealing with Violent or Physically Aggressive People 1.2
Exposed to Very Hot or Cold Temperatures 1.2
Spend Time Bending or Twisting Your Body 1.2
Outdoors, Exposed to All Weather Conditions 1.2
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.2

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
Bachelor's degree · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — 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 55.3%
High School Diploma 26.8%
Post-Baccalaureate Certificate 6.0%
Some College Courses 5.8%
Master's Degree 3.8%
Associate's Degree (or other 2-year degree) 1.1%
Post-Secondary Certificate 1.1%

Interests & work styles

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

Work styles

Attention to Detail 10.0
Integrity 9.0
Intellectual Curiosity 8.0
Achievement Orientation 7.0
Social Orientation 6.0
Stress Tolerance 5.0
Adaptability 4.0

Interest areas

Sales 6.6
Finance 6.6
Business Initiatives 5.5
Accounting 4.1
Professional Advising 3.9
Public Speaking 3.8
Office Work 3.5

Career interests (Holland / RIASEC)

Enterprising 6.1
Conventional 5.3

Wages & employment

U.S. · annual wages (BLS OEWS)

$47k10th$52k25th$78kMedian$129k75th$215k90th
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.
515k2024532k2034 (proj.)+3.3% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $47,080
25th percentile $51,600
Median (50th) $78,140
75th percentile $129,480
90th percentile $215,210
People employed 472,300

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 447,410 $77,550
Management of Companies and Enterprises · Sector 13,360 $99,970
Insurance Agencies and Brokerages · National industry 5,450 $80,010
Professional, Scientific, and Technical Services · Sector 4,060 $132,500
Wholesale Trade · Sector 2,070
Administrative and Support and Waste Management and Remediation Services · Sector 1,830 $91,680
Retail Trade · Sector 1,660 $107,360
Information · Sector 490 $105,770
Real Estate and Rental and Leasing · Sector 330 $130,920
Utilities · Sector 250 $100,920
Arts, Entertainment, and Recreation · Sector 250 $60,640
Direct Health and Medical Insurance Carriers · National industry 200 $74,040

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 23.46× 447,410
Insurance Agencies and Brokerages · National industry 1.8× 5,450
Management of Companies and Enterprises · Sector 1.55× 13,360
Direct Health and Medical Insurance Carriers · National industry 0.15× 200
Utilities · Sector 0.14× 250
Professional, Scientific, and Technical Services · Sector 0.12× 4,060
Wholesale Trade · Sector 0.11× 2,070
Mining, Quarrying, and Oil and Gas Extraction · Sector 0.1× 170

Part of the Financial Services career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Securities, Commodities, and Financial Services Sales Agents sits at the 91st percentile of AI task-overlap and the 67th percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Securities, Commodities, and Financial Services Sales Agents Tellers Credit Analysts New Accounts Clerks Investment Fund Managers Real Estate Brokers Financial Risk Specialists Brokerage Clerks 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 Securities, Commodities, and Financial Services Sales Agents — 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 91st percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Securities, Commodities, and Financial Services Sales Agents show 91st-percentile AI task overlap — and about 38,100 annual U.S. openings

  • Securities, Commodities, and Financial Services Sales Agents rank in the 91st 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 38,100 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 about average (+3.3%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $78,140, across about 472,300 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Securities, Commodities, and Financial Services Sales Agents show 91st-percentile AI task overlap — and about 38,100 annual U.S. openings

• Securities, Commodities, and Financial Services Sales Agents rank in the 91st 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 38,100 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 about average (+3.3%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $78,140, across about 472,300 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Securities, Commodities, and Financial Services Sales Agents". https://singulariki.com/roles/role-41-3031-00
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. "Securities, Commodities, and Financial Services Sales Agents." 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-41-3031-00

APA

Singulariki. (2026). Securities, Commodities, and Financial Services Sales Agents. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-41-3031-00

BibTeX
@misc{singulariki-role-41-3031-00,
  title  = {Securities, Commodities, and Financial Services Sales Agents},
  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-41-3031-00}
}

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

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