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 โ 2028)
Projected changes in AI automation metrics over the next 3 years based on estimated data.
Overall Exposure
2025 โ 2028 (estimated)
Theoretical Exposure
2025 โ 2028 (estimated)
Observed Exposure
2025 โ 2028 (estimated)
Automation Risk
2025 โ 2028 (estimated)
Exposure Metrics (2023 - 2028)
Detailed Metrics Table
| Year | Overall | Theoretical | Observed | Risk | Data Type |
|---|---|---|---|---|---|
| 2023 | 55 | 82 | 28 | 60 | actual |
| 2024 | 63 | 85 | 40 | 67 | actual |
| 2025 | 71 | 88 | 54 | 74 | actual |
| 2026 | 76 | 90 | 62 | 78 | estimated |
| 2027 | 80 | 92 | 68 | 81 | estimated |
| 2028 | 84 | 94 | 74 | 84 | estimated |
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.
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.
The AI automation risk score for Statistical Assistants is 74% (2025 data). Overall AI exposure is 71%, with 88% theoretical exposure and 54% observed exposure. The risk trend from 2023 to 2025 is +14 points.
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 reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.
The BLS projects -4% employment change for Statistical Assistants from 2024 to 2034. Combined with an overall AI exposure of 71%, this occupation is experiencing 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.