Statistical Assistants

Statistical Assistants do things like entering data, doing formulas, and making charts ^[1]. Many of these parts can be done by software or “robot” tools. For example, programs and even simple AI can fill forms, run calculations, and draw graphs quickly.

Official data show that right now most of this work still involves people: ONET reports only about 20% of a Statistical Assistant’s job is “highly automated,” with most tasks only partly automated ^[1]. In fact, a study by Microsoft found roles like data analysts already use AI to streamline* tasks (for instance, AI can help with coding or summarizing data) but stressed that AI usually changes the work rather than replaces the humans doing it ^{[2] [2]}. In other words, AI and software are helping people do these jobs faster or more easily, but humans still check the results and decide what the numbers really mean.

Whether companies move quickly to use AI in these roles depends on several factors. On the plus side, tools for data entry and analysis are commercially available now, and they can increase productivity and accuracy. Big studies estimate huge savings from AI in general, so businesses see benefits in automating repetitive jobs.

For example, this past year demand for data-related jobs rose, showing firms are eager to hire people who know AI and data skills ^[3]. However, adopting AI also costs time and money. If entry-level assistants are paid modest wages, some employers may prefer hiring a person over buying a new system.

Firms also worry about privacy, data quality, and error risks when AI handles important information.