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Medical Dosimetrists

Healthcaremediumaugment
BLS 2024-34: +6%
Median Wage: $77,600
Employment: 4K

Overall Exposure

40+12

2025 vs 2023

Theoretical Exposure

58

What AI could do

Observed Exposure

23

What AI actually does

Automation Risk Score

30

Displacement risk

3-Year Outlook (2025 โ†’ 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

40โ†’57
+17

2025 โ†’ 2028 (estimated)

Theoretical Exposure

58โ†’75
+17

2025 โ†’ 2028 (estimated)

Observed Exposure

23โ†’38
+15

2025 โ†’ 2028 (estimated)

Automation Risk

30โ†’44
+14

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202328451420actual
202434521825actual
202540582330actual
202646642835estimated
202752703340estimated
202857753844estimated

Task Breakdown

Calculate radiation dose distributions
72%ฮฒ 1
Generate and optimize treatment plans using software
68%ฮฒ 1
Verify treatment plan accuracy through quality assurance
45%ฮฒ 0.5
Consult with radiation oncologists on complex cases
15%ฮฒ 0

About This Occupation

If you work as a Medical Dosimetrist, AI is reshaping your profession. With an automation risk of 30/100 and overall exposure at 40%, this role faces medium transformation. The highest-impact area is calculate radiation dose distributions at 72% automation. This is classified as an 'augment' role, where AI-powered treatment planning systems automate complex dose calculations while human expertise remains critical for quality assurance, clinical judgment, and adapting plans to individual patient anatomy. BLS projects +6% growth through 2034.

Frequently Asked Questions

With an automation risk score of 30%, Medical Dosimetrists has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.

The AI automation risk score for Medical Dosimetrists is 30% (2025 data). Overall AI exposure is 40%, with 58% theoretical exposure and 23% observed exposure. The risk trend from 2023 to 2025 is +10 points.

The tasks with the highest automation potential for Medical Dosimetrists are: Calculate radiation dose distributions (72%), Generate and optimize treatment plans using software (68%), Verify treatment plan accuracy through quality assurance (45%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects +6% employment change for Medical Dosimetrists from 2024 to 2034. Combined with an overall AI exposure of 40%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Medical Dosimetrists should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.

Recent AI Impact Changes

Mar 2026: New blog post: medical dosimetrists face 46% exposure, 35% risk.

[Source: ACW Blog]