π‘ Radiation Therapists have a composite risk score of 45/100 (Frey-Osborne probability: 34%, GenAI exposure: 70/100). With 18,700 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Possible. Significant task automation is underway β workers should actively upskill.
With 18,700 workers and a median wage of $102K,radiation therapists represent a significant portion of the US workforce. Their GenAI exposure index is 70%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
45/100
Employment
18,700
Median Wage
$102K
GenAI Exposure
70%
β οΈ Top Risk Factors
AI-assisted diagnostic imaging reducing radiologist workload
AI coding assistants reducing developer demand
Natural language processing for clinical documentation
Telehealth platforms automating triage and intake
π‘οΈ Tasks AI Can't Easily Replace
Ethical decision-making in end-of-life situations
Emergency triage requiring rapid human judgment
Empathetic patient communication and bedside manner
Complex clinical judgment in ambiguous presentations
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Dentists, All Other Specialists
79% skills overlap Β· $226K median wage
Dentists, General
72% skills overlap Β· $173K median wage
Podiatrists
79% skills overlap Β· $153K median wage
β Frequently Asked Questions
Will AI completely replace radiation therapists?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for radiation therapists?
Radiation Therapists have a composite AI automation risk score of 45 out of 100, classified as "Elevated".
How many radiation therapists are there in the US?
There are approximately 18,700 radiation therapists employed in the United States.
What do radiation therapists earn?
The median annual wage for radiation therapists is $102K.
What skills should radiation therapists develop?
Focus on tasks AI can't easily replicate: ethical decision-making in end-of-life situations, emergency triage requiring rapid human judgment, empathetic patient communication and bedside manner, complex clinical judgment in ambiguous presentations. These human-centric skills will become more valuable as routine tasks are automated.