Can AI Replace Data Scientists in 2026?

Moderate exposure. AI could handle about 86% of today's data scientists tasks by 2036, and there is a 48% 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

53%

Headcount (2025 = 100)

Chance of 20%+ fewer jobs

16% 2030 · 48% 2036

One person could cover, 2036

4.7 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

Mathematicians25% risk by 2036 Bioinformatics Technicians36% risk by 2036 Software Developers28% risk by 2036

Your plan

Ticks are saved in this browser only.

Try an AI tool on one task you'd normally do by hand: "Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use".Learn one AI tool well enough to show it in an interview, for: "Analyze, manipulate, or process large sets of data using statistical software".Take on work where you sign off, decide or carry responsibility: that part stays human.Rewrite the top of your CV around judgment, people and decisions, not routine output.Read about a lower-risk move: Mathematicians.

Lower-risk jobs with similar tasks

Mathematicians — 25% chance of contraction by 2036
Bioinformatics Technicians — 36% chance of contraction by 2036
Software Developers — 28% chance of contraction by 2036

Similar occupations

Statisticians · Operations Research Analysts · Biostatisticians · Bioinformatics Scientists

Based on 16 O*NET tasks for "Data Scientists" (SOC 15-2051.00). LLM alone: 50% of tasks; with AI tools: 100%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10