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Will AI replace Occupational Health and Safety Technicians?

Collect data on work environments for analysis by occupational health and safety specialists. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 19-5012.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
27%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
27%Automatable
Automatable27%
Augmentable40%
Hard to automate33%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Healthcare
Clinical & Care
Modeled pay midpoint$
$67,100/yr
Directional estimate — verify locally
Time until impact⌁
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Evaluate situations or make determinations when a worker has refused to work on the grounds that danger or potential harm exists.37%
⚙Supply, operate, or maintain personal protective equipment.28%
✦Clinical accountability and hands-on care25%
✦Patient trust and complex diagnosis21%
▥Train workers in safety procedures related to green jobs, such as the use of fall protection devices or maintenance of proper ventilation during wind turbine construction.18%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with evaluate situations or make determinations when a worker has refused to work on the grounds that danger or potential harm exists..
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in clinical accountability and hands-on care.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Occupational Health and Safety Technicians.
02>AI can help with: Evaluate situations or make determinations when a worker has refused to work on the grounds that danger or potential harm exists.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Clinical accountability and hands-on care.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 27% is estimated task exposure—not a 27% chance of losing the job.
What AI can do
Evaluate situations or make determinations when a worker has refused to work on the grounds that danger or potential harm exists.LOW MATCH
Supply, operate, or maintain personal protective equipment.LOW MATCH
Train workers in safety procedures related to green jobs, such as the use of fall protection devices or maintenance of proper ventilation during wind turbine construction.LOW MATCH
How estimates work →
Your human moat
◆

Clinical accountability and hands-on care

HIGH MOAT

Combined with patient trust and complex diagnosis, this keeps a human in the loop.

Strength8.7
Similar-role comparison
RoleRisk
Occupational Health and Safety Technicians27%
Dental Assistants27%
Food Science Technicians27%
Registered Nurse (Bedside)26%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The core work depends on presence, dexterity, or accountability.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is clinical accountability and hands-on care.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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Dental Assistants · 27% exposureFood Science Technicians · 27% exposureRegistered Nurse (Bedside) · 26% exposure