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AI exposure Computer and mathematical

Will AI replace statisticians?

Statisticians. US occupation 15-2041.

21.1%

of the time statisticians spend on their work goes on tasks where AI is already being used to do that work.of statisticians' working hours go on tasks AI has already started taking off their plate.

Ranked 111 of 756 US occupations. More exposed than 85% of them.Further along than 85% of them.

Average US job 7.7%

Well above the typical job.Ahead of most of the workforce.

What AI already does for statisticiansWhat statisticians no longer do alone

O*NET lists 44 tasks for statisticians. AI use at work shows up in 9 of them. Each score runs from 0.5, where every observed use helps a person with the task, to 1, where every use does the task outright.

  1. Collect data through surveys or experimentation.Core task mostly automated 1.00
  2. Identify relationships and trends in data, as well as any factors that could affect the results of research.Core task mostly automated 0.95
  3. Report results of statistical analyses, including information in the form of graphs, charts, and tables.Core task mostly automated 0.94
  4. Report results of statistical analyses in peer-reviewed papers and technical manuals.Core task mostly automated 0.92
  5. Process large amounts of data for statistical modeling and graphic analysis, using computers.Core task mostly automated 0.92
  6. Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.Core task mostly automated 0.88
  7. Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.Core task automated and assisted 0.83
  8. Develop and test experimental designs, sampling techniques, and analytical methods.Core task automated and assisted 0.81
Show the other 1
  1. Prepare articles for publication or presentation at professional conferences.Core task automated and assisted 0.75

What it does not touch, yetWhat still needs a human

35 of the 44 tasks show no AI use at work in the data.

  • Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.Core task
  • Analyze and interpret statistical data to identify significant differences in relationships among sources of information.Core task
  • Analyze archival data, such as birth, death, and disease records.Core task
  • Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.Core task
  • Apply research or simulation results to extend biological theory or recommend new research projects.Core task
  • Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed.Core task
Show the other 29
  • Assign work to biostatistical assistants or programmers.Core task
  • Calculate sample size requirements for clinical studies.Core task
  • Design or maintain databases of biological data.Core task
  • Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.Core task
  • Design research studies in collaboration with physicians, life scientists, or other professionals.Core task
  • Design surveys to assess health issues.Core task
  • Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies.Core task
  • Determine whether statistical methods are appropriate, based on user needs or research questions of interest.Core task
  • Develop or implement data analysis algorithms.Core task
  • Develop or use mathematical models to track changes in biological phenomena, such as the spread of infectious diseases.Core task
  • Develop software applications or programming for statistical modeling and graphic analysis.Core task
  • Draw conclusions or make predictions, based on data summaries or statistical analyses.Core task
  • Evaluate sources of information to determine any limitations, in terms of reliability or usability.Core task
  • Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.Core task
  • Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.Core task
  • Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected.Core task
  • Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.Core task
  • Plan or direct research studies related to life sciences.Core task
  • Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.Core task
  • Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients.Core task
  • Prepare tables and graphs to present clinical data or results.Core task
  • Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.Core task
  • Provide biostatistical consultation to clients or colleagues.Core task
  • Review clinical or other medical research protocols and recommend appropriate statistical analyses.Core task
  • Supervise and provide instructions for workers collecting and tabulating data.Core task
  • Teach graduate or continuing education courses or seminars in biostatistics.Core task
  • Write program code to analyze data with statistical analysis software.Core task
  • Write research proposals or grant applications for submission to external bodies.Core task
  • Prepare and structure data warehouses for storing data.

How that compares

Among the 21 computer and mathematical occupations, statisticians rank 19. The group averages 37.9%, and its most exposed job is Computer Programmers at 74.5%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Just above in the ranking

  1. 109Chemistry Teachers, Postsecondary 21.9%
  2. 110Art, Drama, and Music Teachers, Postsecondary 21.4%
  3. 111Communications Teachers, Postsecondary 21.1%

Just below

  1. 113Art Directors 21.0%
  2. 113News Analysts, Reporters, and Journalists 21.0%
  3. 115Counter and Rental Clerks 20.5%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.