Can AI Replace Statistical Assistants in 2026?

High exposure. AI could handle about 87% of today's statistical assistants tasks by 2036, and there is a 60% chance the number of jobs falls by a fifth or more. AI is likely to take over many tasks outright.

See how not to be replaced

Timeline

Year2030

Tasks AI can do

60%

Headcount (2025 = 100)

Chance of 20%+ fewer jobs

21% 2030 · 60% 2036

One person could cover, 2036

6.7 roles

Share of today's tasks AI can perform

Headcount index, 2025 = 100 (dashed line)

Your survival map

Not every part of your job is at the same risk. Tap a number to see what to do about each task.

Your human coreDo it with AIHand to AI

Tap a number on the map or a task below.

Lower-risk jobs that use similar skills

Social Science Research Assistants48% risk by 2036 Biostatisticians49% risk by 2036 Statisticians43% risk by 2036

Your plan

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Try an AI tool on one task you'd normally do by hand: "Enter data into computers for use in analyses or reports".Learn one AI tool well enough to show it in an interview, for: "Check survey responses for errors, such as the use of pens instead of pencils, and set aside response forms that cannot be used".Get visibly better at your human core: "Discuss data presentation requirements with clients".Rewrite the top of your CV around judgment, people and decisions, not routine output.Read about a lower-risk move: Social Science Research Assistants.

Lower-risk jobs with similar tasks

Social Science Research Assistants — 48% chance of contraction by 2036
Biostatisticians — 49% chance of contraction by 2036
Statisticians — 43% chance of contraction by 2036

Similar occupations

Survey Researchers · Data Entry Keyers · Payroll and Timekeeping Clerks · Interviewers, Except Eligibility and Loan

Based on 14 O*NET tasks for "Statistical Assistants" (SOC 43-9111.00). LLM alone: 83% of tasks; with AI tools: 96%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10