Office & Admin · SOC 43-9111
Statistical computation and data entry are squarely in AI's wheelhouse; human oversight of results is the remaining wedge.
Core tasks are highly automatable — expect major disruption.
Timeline: Python, R, and AI tools already perform all core computation tasks; the purely assistive version of this role has effectively been automated, and those remaining need to upskill to analyst-level interpretation within 2-4 years.
Tap a skill to find courses on Coursera.
Some links are affiliate links — if you sign up or buy through them, we may earn a commission at no extra cost to you.
$35,000 median pay
$39,130 median pay
$46,040 median pay
$55,290 median pay
$48,950 median pay
$49,130 median pay
AI job-risk card
Statistical Assistants is high risk on AIFear. Core tasks are highly automatable — expect major disruption.
AIFear.com
Our AI Fear Score for Statistical Assistants is 82/100 (High risk). Core tasks are highly automatable — expect major disruption.
82 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Computing and analyzing data with statistical formulas, Checking source data for completeness and accuracy, Entering data into databases, Compiling charts and graphs from analyses, Maintaining and updating databases.
Lean into Statistical analysis software, Data validation and quality control, Data visualization, Research methodology. Consider roles such as Data analyst or Research analyst or Statistician.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.