Can AI Replace Radiation Therapists in 2026?

Lower exposure. AI could handle about 42% of today's radiation therapists tasks by 2036, and there is a 9% chance the number of jobs falls by a fifth or more. AI both assists and takes over tasks.

See how not to be replaced

Timeline

Year2030

Tasks AI can do

21%

Headcount (2025 = 100)

100

Chance of 20%+ fewer jobs

7% 2030 · 9% 2036

One person could cover, 2036

1.4 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.

Your plan

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Try an AI tool on one task you'd normally do by hand: "Maintain records, reports, or files as required, including such information as radiation dosages, equipment settings, or patients' reactions".Learn one AI tool well enough to show it in an interview, for: "Review prescription, diagnosis, patient chart, and identification".Get visibly better at your human core: "Position patients for treatment with accuracy, according to prescription".Rewrite the top of your CV around judgment, people and decisions, not routine output.

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Based on 22 O*NET tasks for "Radiation Therapists" (SOC 29-1124.00). LLM alone: 5% of tasks; with AI tools: 51%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10