Share and intensity of work current AI systems can materially affect.
SOC 43-4011
Brokerage Clerks AI displacement risk
Documenting trades, computing dividends and fees, and coordinating certificate transfers are the core of a back-office workflow that straight-through processing automated decades ago and AI is now finishing. Account problem resolution is the remaining human task.
Likely potential for exposed tasks to move to software after workflow integration.
This is a documented decline archetype: employment has fallen for decades as trade processing digitized. The realistic reading is not adaptation within the role but transition toward account service, operations analysis, or compliance.
Distribution
Where Brokerage Clerks sits across 620 tracked roles
Displacement pressure 76 — higher than 96% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
10 O*NET task statements matched to SOC 43-4011. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $65,750 (May 2025, US national). The latest BLS row matched SOC 43-4011.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Brokerage Clerks
SOC 43-4011 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 76/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Brokerage Clerks
The current evidence import matched 10 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks10
SOC43-4011
- Core task / ID 8145
Correspond with customers and confer with coworkers to answer inquiries, discuss market fluctuations, or resolve account problems.
- Core task / ID 20622
Document security transactions, such as purchases, sales, conversions, redemptions, or payments, using computers, accounting ledgers, or certificate records.
- Core task / ID 8149
File, type, or operate standard office machines.
- Core task / ID 20623
Perform clerical tasks, such as answering phones or distributing mail.
- Core task / ID 8148
Prepare forms, such as receipts, withdrawal orders, transmittal papers, or transfer confirmations, based on transaction requests from stockholders.
- Supplemental task / ID 8147
Schedule and coordinate transfer and delivery of security certificates between companies, departments, and customers.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Document security transactions
Exposure 88, automation 74%, augmentation 16%.
O*NET evidence: Document security transactions, such as purchases, sales, conversions, redemptions, or ... (ID 20622)
Compute dividends, fees, and commissions
Exposure 82, automation 68%, augmentation 20%.
O*NET evidence: Compute total holdings, dividends, interest, transfer taxes, brokerage fees, or commiss... (ID 8151)
Verify ownership and transaction information
Exposure 74, automation 56%, augmentation 34%.
O*NET evidence: Verify ownership and transaction information and dividend distribution instructions to ... (ID 8153)
Resolve account problems with customers
Exposure 40, automation 16%, augmentation 50%.
O*NET evidence: Correspond with customers and confer with coworkers to answer inquiries, discuss market... (ID 8145)
TaskExposureAutomationAugmentation
Document security transactions8874%16%
Compute dividends, fees, and commissions8268%20%
Verify ownership and transaction information7456%34%
Resolve account problems with customers4016%50%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
HighSecurities Operations Analyst
Training horizon: 3-6 months. Skill overlap 72. Wage preservation signal 112.
- Own exception queues
- Analyze settlement failures
- Document process improvements
credentialed transition
HighRegistered Client Service Associate
Training horizon: 3-9 months. Skill overlap 62. Wage preservation signal 106.
- Earn securities registrations
- Practice client account service
- Learn advisory platform tools
Comparison guides
Compare the next move before you commit
3-6 months
Brokerage Clerks to Securities Operations Analyst
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Brokerage Clerks into Securities Operations Analyst.
3-9 months
Brokerage Clerks to Registered Client Service Associate
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Brokerage Clerks into Registered Client Service Associate.
What the AI risk score means for Brokerage Clerks
The displacement pressure score for Brokerage Clerks is 76. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Document security transactions carries 74% automation pressure, while Resolve account problems with customers carries 50% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $65,750 (May 2025, US national). Employment context: Securities back-office role in long structural decline. Typical education: High school diploma or equivalent.
Wage vulnerability is 60, while transition feasibility is 62. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Very high substitution pressure
- Straight-through processing is the standard
- Operations analysis offers the bridge
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Brokerage Clerks, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Securities operations
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Reconciliation accuracy
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Regulatory documentation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Client service
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Securities Operations Analyst, such as own exception queues.
- By 90 days, compare internal openings and external postings for Securities Operations Analyst or Registered Client Service Associate and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Brokerage Clerks
Will AI replace Brokerage Clerks?
Documenting trades, computing dividends and fees, and coordinating certificate transfers are the core of a back-office workflow that straight-through processing automated decades ago and AI is now finishing. Account problem resolution is the remaining human task. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Brokerage Clerks work are most exposed to AI?
Document security transactions and Compute dividends, fees, and commissions show the strongest automation pressure in this model. Resolve account problems with customers and Verify ownership and transaction information are better treated as AI-augmented work.
What should Brokerage Clerks learn next?
Start with Securities operations, Reconciliation accuracy, Regulatory documentation. The most practical adjacent paths in this model are Securities Operations Analyst and Registered Client Service Associate.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
World Economic Forum / 7 January 2025The Future of Jobs Report 2025International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics