TechnologyO*NET: 15-2041.00
Will AI Replace Statisticians?
Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians.
67out of 100
High Risk
AI Risk Score
67/100
Risk Level
High
Job Zone
5/5
Advanced
Total Tasks Analyzed
18
🤖 What AI Can Do
- ▸Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- ▸Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- ▸Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- ▸Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
- ▸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.
👤 What Requires Humans
- ▸Develop and test experimental designs, sampling techniques, and analytical methods.
- ▸Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
Task Breakdown
🤖AI Can Automate (13)
- Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
- Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.
- Report results of statistical analyses, including information in the form of graphs, charts, and tables.
- Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.
- 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.
- Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.
- Evaluate sources of information to determine any limitations, in terms of reliability or usability.
- Process large amounts of data for statistical modeling and graphic analysis, using computers.
- Develop software applications or programming for statistical modeling and graphic analysis.
- Report results of statistical analyses in peer-reviewed papers and technical manuals.
- Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.
- Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.
👤Requires Humans (2)
- Develop and test experimental designs, sampling techniques, and analytical methods.
- Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.
⚡AI-Assisted (3)
- Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
- Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed.
- Supervise and provide instructions for workers collecting and tabulating data.
Key Skills Analysis
MathematicsAI-Vulnerable
Importance: 4.88/5.00
Reading ComprehensionAI-Vulnerable
Importance: 4.00/5.00
Critical ThinkingAI-Resistant
Importance: 4.00/5.00
Active Listening
Importance: 3.88/5.00
Speaking
Importance: 3.88/5.00
Complex Problem SolvingAI-Resistant
Importance: 3.88/5.00
WritingAI-Vulnerable
Importance: 3.75/5.00
Active LearningAI-Resistant
Importance: 3.75/5.00
Science
Importance: 3.50/5.00
Judgment and Decision MakingAI-Resistant
Importance: 3.38/5.00
Learning Strategies
Importance: 3.12/5.00
Monitoring
Importance: 3.00/5.00
ProgrammingAI-Vulnerable
Importance: 3.00/5.00
Systems AnalysisAI-Vulnerable
Importance: 3.00/5.00
Systems Evaluation
Importance: 3.00/5.00
Related Occupations
Future-Proof Your Career
Whether AI poses a high or low risk to your role, staying ahead means continuous learning. Explore courses to build AI-resistant skills.
Frequently Asked Questions
Based on our analysis, Statisticians have a high risk of AI replacement with a score of 67/100. Many routine tasks in this role can be automated, but human oversight remains important.
Last updated: 2026-03-28· Data from O*NET 30.2 & Frey/Osborne automation research