Will AI replace Radiation Therapists?
Most of the work in Radiation Therapists still leans on things AI struggles with — research rates its theoretical AI reach at only ~28%, and real-world use lower still.
O*NET-SOC 29-1124
How your 19 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a relatively low share of this job's tasks (~28%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
The signals here line up
Theoretical reach (~28%), real-world use (~0%) and the task-level picture mostly agree — so this read is more reliable than for jobs where the signals contradict each other. Even so, AI-risk estimates shift by model (a 2026 study saw the "high-risk" share swing 2.7%–51.5%), so treat these as directional, not destiny.
See all 19 tasks, ratedBased on real task-level AI scores — click to collapse
- Maintain records, reports, or files as required, including such information as radiation dosages, equipment settings, or patients' reactions.
- Review prescription, diagnosis, patient chart, and identification.
- Enter data into computer and set controls to operate or adjust equipment or regulate dosage.
- Check for side effects, such as skin irritation, nausea, or hair loss to assess patients' reaction to treatment.
- Help physicians, radiation oncologists, or clinical physicists to prepare physical or technical aspects of radiation treatment plans, using information about patient condition and anatomy.
- Calculate actual treatment dosages delivered during each session.
- Photograph treated area of patient and process film.
- Act as liaison with physicist and supportive care personnel.
- Schedule patients for treatment times.
- Provide assistance to other healthcare personnel during dosimetry procedures and tumor localization.
- Position patients for treatment with accuracy, according to prescription.
- Administer prescribed doses of radiation to specific body parts, using radiation therapy equipment according to established practices and standards.
- Follow principles of radiation protection for patient, self, and others.
- Conduct most treatment sessions independently, in accordance with the long-term treatment plan and under the general direction of the patient's physician.
- Check radiation therapy equipment to ensure proper operation.
- Observe and reassure patients during treatment and report unusual reactions to physician or turn equipment off if unexpected adverse reactions occur.
- Educate, prepare, and reassure patients and their families by answering questions, providing physical assistance, and reinforcing physicians' advice regarding treatment reactions or post-treatment care.
- Prepare or construct equipment, such as immobilization, treatment, or protection devices.
- Train or supervise student or subordinate radiotherapy technologists.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.