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Statisticians

Statisticians score 79 out of 100, which is high exposure to AI. That ranks #30 of 923 US occupations, where #1 is the most exposed. Of the 19 tasks in this job, AI could speed up 11 on its own and 8 more with extra software built on top of it. In April–May 2026, 14 of these tasks showed up in real conversations with Claude, Anthropic's AI assistant.

79/ 100
High
Rank
#30of 923 jobs
US workers
29,030BLS, May 2025
Median pay
$105,650a year
In real AI use
14 of 19tasks, April–May 2026

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

  • AI can speed this up on its own: 11 (58%)
  • AI can speed this up with extra software: 8 (42%)
  • Little or no AI speed-up: 0 (0%)
  • Determine whether statistical methods are appropriate, based on user needs or research questions of interest.AI can speed this up on its own · core task · Seen in real AI use
  • Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.AI can speed this up on its own · core task · Seen in real AI use
  • Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students.AI can speed this up on its own · core task · Seen in real AI use
  • Process large amounts of data for statistical modeling and graphic analysis, using computers.AI can speed this up on its own · core task · Seen in real AI use
  • Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering.AI can speed this up on its own · core task · Seen in real AI use
  • Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy.AI can speed this up on its own · core task · Seen in real AI use
  • Develop and test experimental designs, sampling techniques, and analytical methods.AI can speed this up on its own · core task · Seen in real AI use
  • Supervise and provide instructions for workers collecting and tabulating data.AI can speed this up on its own · 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.AI can speed this up on its own · core task
  • Prepare and structure data warehouses for storing data.AI can speed this up on its own · core task · Seen in real AI use
  • Develop software applications or programming for statistical modeling and graphic analysis.AI can speed this up on its own · core task
  • Analyze and interpret statistical data to identify significant differences in relationships among sources of information.AI can speed this up with extra software · core task · Seen in real AI use
  • Identify relationships and trends in data, as well as any factors that could affect the results of research.AI can speed this up with extra software · core task · Seen in real AI use
  • Report results of statistical analyses, including information in the form of graphs, charts, and tables.AI can speed this up with extra software · core task · Seen in real AI use
  • Design research projects that apply valid scientific techniques, and use information obtained from baselines or historical data to structure uncompromised and efficient analyses.AI can speed this up with extra software · core task · Seen in real AI use
  • Report results of statistical analyses in peer-reviewed papers and technical manuals.AI can speed this up with extra software · core task
  • Evaluate sources of information to determine any limitations, in terms of reliability or usability.AI can speed this up with extra software · core task · Seen in real AI use
  • Plan data collection methods for specific projects, and determine the types and sizes of sample groups to be used.AI can speed this up with extra software · core task · Seen in real AI use
  • Apply sampling techniques, or use complete enumeration bases to determine and define groups to be surveyed.AI can speed this up with extra software · core task

Similar jobs, lower exposure

Related occupations that score at least 10 points lower.

Other jobs in this field

Computer and Mathematical occupations close to this one.

Questions about statisticians and AI

Will AI replace statisticians?

Probably not entirely, but the job is likely to change a lot. Statisticians score 79 out of 100 (high exposure), #30 of 923 US jobs. AI could speed up 19 of the job's 19 tasks, 11 of them on its own. Exposure means the work is likely to change, not that the job will disappear.

Which statisticians tasks can AI do?

The most exposed tasks include "Determine whether statistical methods are appropriate, based on user needs or research questions of interest"; "Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data"; "Present statistical and nonstatistical results, using charts, bullets, and graphs, in meetings or conferences to audiences such as clients, peers, and students".

Which statisticians tasks are hardest for AI?

Every task in this job has some AI exposure, though 8 of them need extra software built around the AI.

Are people already using AI for this work?

Yes. In April–May 2026, 14 of the 19 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.

How many people work as statisticians, and what do they earn?

About 29,030 people in the US, with median pay of $105,650 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.

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