JobBreak

Office and Administrative Support · United States (national)

Statistical Assistants

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
67.4 of 100
AI / softwarerange 55.4 to 79.4
13.6 of 100
Physical / roboticsrange 1.6 to 25.6

When the change is likely

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

Near-term, high local demand stable

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 67). 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

Compute and analyze data, using statistical formulas and computers or calculators.
67.4
Check source data to verify completeness and accuracy.
67.4
Enter data into computers for use in analyses or reports.
67.4
Compile reports, charts, or graphs that describe and interpret findings of analyses.
67.4
Participate in the publication of data or information.
67.4
File data and related information, and maintain and update databases.
67.4
Organize paperwork, such as survey forms or reports, for distribution or analysis.
50.0
Code data prior to computer entry, using lists of codes.
67.4

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

What is driving my result

lowers risk
raises risk
Task: Compute and analyze data, using statistical formulas and computers or calculators.
Task: Check source data to verify completeness and accuracy.

Lower-risk adjacent roles

Bookkeeping, Accounting, and Auditing Clerks
31.4
Clinical Data Managers
57.5
Business Intelligence Analysts
57.6
Data Scientists
59.4

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

How this score is calculated

  1. Map Statistical Assistants to its standard O*NET task list (8 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 67.4, robotics 13.6.
  4. The timeline comes from the higher axis (67.4), shifted for local demand (stable), 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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