Will AI replace Statistical Assistants?

Many of your tasks are within reach of AI. The role will change, so it pays to act now.

Task exposure to today's AI

66/100

High exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Statistical Assistants?

Not entirely. Today's AI tools can take on about 66% of the typical work in this occupation, mostly: check source data to verify completeness and accuracy. The parts that stay human include: Compute and analyze data, using statistical formulas and computers or calculators.; Enter data into computers for use in analyses or reports.; Compile reports, charts, or graphs that describe and interpret findings of analyses..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable

Check source data to verify completeness and accuracy. 75%

Compute and analyze data, using statistical formulas and computers or calculators.AI already used 68%

Enter data into computers for use in analyses or reports.AI already used 68%

Compile reports, charts, or graphs that describe and interpret findings of analyses.AI already used 68%

Compile statistics from source materials, such as production or sales records, quality-control or test records, time sheets, or survey sheets. 65%

File data and related information, and maintain and update databases. 60%

+ 8 more tasks (21% of the week) in the full test.

Your human edge

Compute and analyze data, using statistical formulas and computers or calculators.
Enter data into computers for use in analyses or reports.
Compile reports, charts, or graphs that describe and interpret findings of analyses.

AI tools to try

Microsoft 365 Copilot or Google Gemini for WorkspaceChatGPT / Claude for emails and documentsAutomation tools (Power Automate, Zapier, Make)

Related roles

A 3-phase AI learning plan

Phase 1

Automate the routine

Emails, letters and documents from templates with AI.
Data entry and extraction from forms and PDFs.
Spreadsheet work with AI help.

Project

Use AI to extract a month's survey sheets or production records from PDFs into one clean spreadsheet, and compare entry time and error count against your manual baseline.

Phase 2

Workflows across tools

Connect email, forms and spreadsheets with no-code automations.
Checks and controls on automated steps.
Document how each workflow works.

Project

Build a no-code workflow that pulls incoming form submissions into a validated spreadsheet with completeness and range checks, auto-emails a weekly chart, and document it in a one-page runbook.

Phase 3

From doing to coordinating

Become the person who maintains the team's automations.
Train colleagues.
Look at roles in operations, coordination or process improvement.

Project

Take ownership of three team automations, write maintenance checklists for each, and train two colleagues in a 60-minute session, tracking hours saved per month across the team.

Take the free 11-question test