AI exposure by occupation, O*NET 15-2041.00
Will AI replace Statisticians?
Statisticians: AI can already handle 14 of 19 tasks; the work mostly needs a frontier-tier model.
Have a team in this role?
Get your free 10-role sample: send this role and up to nine others, and a founder sends a board-pack PDF within two business days.
Every task, scored
The 19 tasks O*NET 30.3 lists for Statisticians, from most to least exposed. 14 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Report results of statistical analyses, including information in the form of graphs, charts, and tables. | Observed | Frontier | |
| Identify relationships and trends in data, as well as any factors that could affect the results of research. | Observed | Standard | |
| Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses. | Observed | Frontier | |
| Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data. | Observed | Standard | |
| Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used. | Observed | Standard | |
| Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy. | Estimated | Standard | |
| Report results of statistical analyses in peer-reviewed papers and technical manuals. | Estimated | Efficient | |
| Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering. | Observed | Standard | |
| Evaluate sources of information to determine any limitations, in terms of reliability or usability. | Observed | Efficient | |
| Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students. | Estimated | Efficient | |
| Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed. | Estimated | Frontier | |
| Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data. | Estimated | Standard | |
| Prepare and structure data warehouses for storing data. | Estimated | Frontier | |
| Supervise and provide instructions for workers collecting and tabulating data. | Estimated | Frontier | |
| Develop software applications or programming for statistical modeling and graphic analysis. | Estimated | Frontier | |
| Analyze and interpret statistical data to identify significant differences in relationships among sources of information. | Observed | Efficient | |
| Determine whether statistical methods are appropriate, based on user needs or research questions of interest. | Observed | Efficient | |
| Develop and test experimental designs, sampling techniques, and analytical methods. | Observed | Efficient | |
| Process large amounts of data for statistical modeling and graphic analysis, using computers. | Observed | Efficient |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 11 of 19 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 8 of 19. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 29,030
- Median annual wage
- $105,650
- Middle half of earners
- $82,220 to $141,490
- Projected change, 2024 to 2034
- +8.5%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Biostatisticians 79% skill overlap, about 8 months to move Exposure57
- Data Scientists 73% skill overlap, about 10 months to move Exposure63
- Statistical Assistants 73% skill overlap, about 10 months to move Exposure66
- Mathematicians 67% skill overlap, about 12 months to move Exposure57
- Economists 67% skill overlap, about 12 months to move Exposure59
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Statisticians and AI
Will AI replace Statisticians?
AI already handles 14 of the 19 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 62 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +8.5% from 2024 to 2034.
What is the AI exposure of Statisticians?
62 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 11 of the 19 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 8 are estimated from each task's O*NET work activity.
Which Statisticians tasks can AI already do?
The tasks with the highest exposure are: Report results of statistical analyses, including information in the form of graphs, charts, and tables; Identify relationships and trends in data, as well as any factors that could affect the results of research; Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses. They are three of the 14 tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Statisticians, and what do they earn?
29,030 people in the United States, with a median annual wage of $105,650 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +8.5% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Statisticians. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/statisticians
Have a team in this role?
Get your free 10-role sample. Send this role and up to nine others, with no employee data, and a founder sends a PDF in board-pack format within two business days.
A founder replies within one business day.