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Will AI replace Statistical Assistants?

Compile and compute data according to statistical formulas for use in statistical studies. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 43-9111.00 · modeled exposure, not guaranteed job loss
HIGH TASK EXPOSURE
68%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
68%Automatable
Automatable68%
Augmentable11%
Hard to automate21%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Admin & Ops
Back office / Ops
Modeled pay midpoint$
$88,700/yr
Directional estimate — verify locally
Time until impact⌁
0–2 years
Earliest 2026 · widespread 2026–2027
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Compute and analyze data, using statistical formulas and computers or calculators.78%
⚙Check source data to verify completeness and accuracy.66%
▥Enter data into computers for use in analyses or reports.53%
✦Exception handling and organizational context11%
✦Discretion with sensitive decisions7%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2026Next2026–2027
Early impactAI assists with compute and analyze data, using statistical formulas and computers or calculators..
Role compressionRoutine workload shifts to AI-assisted systems.
Wider adoptionHuman work concentrates on exception handling and organizational context.
0–2 yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Statistical Assistants.
02>AI can help with: Compute and analyze data, using statistical formulas and computers or calculators.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Exception handling and organizational context.
05>Likely result: This role may shrink or change quickly, but job loss is not guaranteed.
06>Important: 68% is estimated task exposure—not a 68% chance of losing the job.
What AI can do
Compute and analyze data, using statistical formulas and computers or calculators.MEDIUM-HIGH
Check source data to verify completeness and accuracy.MEDIUM-HIGH
Enter data into computers for use in analyses or reports.MEDIUM
How estimates work →
Your human moat
◆

Exception handling and organizational context

MEDIUM-HIGH

Combined with discretion with sensitive decisions, this keeps a human in the loop.

Strength6.9
Similar-role comparison
RoleRisk
Statistical Assistants68%
Telephone Operators70%
Gambling Cage Workers66%
HR Recruiter (Sourcing)60%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓A large share of the work is digital and repeatable.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is exception handling and organizational context.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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