Statistical Assistants
Overall Exposure
2025 vs 2023
Theoretical Exposure
88What AI could do
Observed Exposure
54What AI actually does
Automation Risk Score
74Displacement risk
3-Year Outlook (2025 → 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 → 2028 (estimated)
Theoretical Exposure
2025 → 2028 (estimated)
Observed Exposure
2025 → 2028 (estimated)
Automation Risk
2025 → 2028 (estimated)
Exposure Metrics (2023 - 2028)
Task Breakdown
About This Occupation
If you work as a Statistical Assistant, AI is reshaping your profession at a rapid pace. With an automation risk of 74/100 and overall exposure at 71%, this role faces very high transformation. The highest-impact area is performing routine calculations using statistical formulas at 92% automation, where AI tools can execute complex computations instantly and without error. Data compilation and tabulation (88%) and report generation (85%) are also heavily automated. This is classified as an 'automate' role, meaning most core tasks can be fully performed by AI systems. BLS projects -4% decline through 2034, as organizations increasingly rely on automated data pipelines. The median annual wage is $48,800. Workers who transition toward data analysis, interpretation, and quality assurance will find stronger long-term career prospects.
ISCO-08 classification
Statistical, Mathematical and Related Associate Professionals
Definition
ILO original text (English)
Statistical, mathematical and related associate professionals assist in planning the collection, processing and presentation of statistical, mathematical or actuarial data and in carrying out these operations, usually working under the guidance of statisticians, mathematicians and actuaries.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET15-2051.00
Data Scientists
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
View original - ONET15-2099.01
Bioinformatics Technicians
Apply principles and methods of bioinformatics to assist scientists in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. Apply bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic or other biological information.
View original - ONET43-9111.00
Statistical Assistants
Compile and compute data according to statistical formulas for use in statistical studies. May perform actuarial computations and compile charts and graphs for use by actuaries. Includes actuarial clerks.
View original
Frequently Asked Questions
With an automation risk score of 74%, Statistical Assistants faces a significant risk of AI-driven displacement. Many core tasks in this role can be automated by current AI systems. However, full replacement is unlikely in the near term -- AI will more likely transform the role rather than eliminate it entirely.
Our estimated AI automation risk score for Statistical Assistants is 74% for 2025. Estimated overall AI exposure is 71%, with 88% theoretical exposure and 54% observed exposure. The estimated risk trend from 2023 to 2025 is +14 points. All of these are model-generated estimates, not measurements.
The tasks with the highest automation potential for Statistical Assistants are: Perform routine calculations using statistical formulas (92%), Compile and tabulate statistical data from source documents (88%), Prepare charts, graphs, and statistical reports (85%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.
We estimate a -4% employment change for Statistical Assistants between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 71%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.
Since AI primarily automates tasks in this role, professionals in Statistical Assistants should focus on developing skills that complement AI rather than compete with it. Consider learning AI tool management, shifting toward supervisory and quality-control tasks, and building expertise in areas where human judgment remains essential.