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Automation Risk Analysis

Will “Compiler” be Automated?

Historical Context: Oxford Study (2013)

Ranked #366 of 702. Estimated risk: 66.0%

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AI Exposure Risk

58%

“Compiler” will maybe be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 58% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

26%

“Compiler” will almost certainly not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 26% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Statistical Assistants, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: Compile and compute data according to statistical formulas for use in statistical studies. May perform actuarial computations and compile charts and graphs for use by actuaries. Includes actuarial clerks.

Avg. Annual Salary $55,470
Avg. Hourly Wage $26.67
Available Jobs (US) 5,900
Job Title & Hierarchy Code (SOC) Statistical Assistants #43-9111
Wage vs. National Median
ℹ️

Data is based on the reference occupation: “Statistical Assistants”

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Core Skills & Abilities

  • Compile reports, charts, or graphs that describe and interpret findings of analyses.

  • Check survey responses for errors, such as the use of pens instead of pencils, and set aside response forms that cannot be used.

  • Compile statistics from source materials, such as production or sales records, quality-control or test records, time sheets, or survey sheets.

  • File data and related information, and maintain and update databases.

  • Organize paperwork, such as survey forms or reports, for distribution or analysis.

  • Send out surveys.

  • Enter data into computers for use in analyses or reports.

  • Select statistical tests for analyzing data.

  • Interview people and keep track of their responses.

  • Code data prior to computer entry, using lists of codes.

  • Discuss data presentation requirements with clients.

  • Compute and analyze data, using statistical formulas and computers or calculators.

  • Participate in the publication of data or information.

  • Check source data to verify completeness and accuracy.

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