JobBreak

Office and Administrative Support · United States (national)

Brokerage Clerks

How exposed this work is to automation, shown as ranges with the reasoning and sources.

The short version: this role is highly exposed to automation, and the bigger shift looks near-term. It is a sourced range, not a verdict, and the detail is below.

Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown. Data snapshot SNAPSHOT-2026-11-06. How it works
80.0 of 100
AI / softwarerange 68.0 to 92.0
19.6 of 100
Physical / roboticsrange 7.6 to 31.6

When the change is likely

change likely 0y 5y 10y 15y 20+y

Near-term, high local demand declining

What to do about it

Use AI to outpace AI.

Strategies to protect your livelihood, most important first.

1
Act within the next 1 to 2 years
Displacement for this role is near-term. Start a concrete reskilling plan now, while you still have income and leverage.
2
Lean into the human edge
The exposed parts are routine and cognitive. Invest in judgment, client relationships, and complex problem-solving that AI still cannot do.
3
Pivot toward Bookkeeping, Accounting, and Auditing Clerks
It is skill-adjacent and less exposed (31.4 vs 80). A lateral move now beats a forced one later.
4
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
5
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.

Which of my tasks are exposed

Correspond with customers and confer with coworkers to answer inquiries, discuss market fluctuations, or resolve account problems.
50.0
Document security transactions, such as purchases, sales, conversions, redemptions, or payments, using computers, accounting ledgers, or certificate records.
80.0
File, type, or operate standard office machines.
80.0
Perform clerical tasks, such as answering phones or distributing mail.
50.0
Prepare forms, such as receipts, withdrawal orders, transmittal papers, or transfer confirmations, based on transaction requests from stockholders.
80.0

Longer, orange bars are more automatable; short green bars are resistant.

What is driving my result

lowers risk
raises risk
Task: Document security transactions, such as purchases, sales, conversions, redemptions, or payments, using computers, accounting ledgers, or certificate records.
Task: File, type, or operate standard office machines.
Local demand is declining

Lower-risk adjacent roles

Bookkeeping, Accounting, and Auditing Clerks
31.4
Tellers
33.3
Securities, Commodities, and Financial Services Sales Agents
51.9
Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel
56.7
New Accounts Clerks
60.0
Customer Service Representatives
70.5

A full, ranked mitigation plan is part of the paid tiers.

How this score is calculated

  1. Map Brokerage Clerks to its standard O*NET task list (5 core tasks).
  2. Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
  3. The two axis scores are the task averages: AI 80.0, robotics 19.6.
  4. The timeline comes from the higher axis (80.0), shifted for local demand (declining), and seniority. It is read against your remaining working years.
  5. Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.

Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS. Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.

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