Will AI replace Occupational Health and Safety Technicians?
Work in Occupational Health and Safety Technicians sits in the in-between: AI reaches some of it (~40% in theory) but is only measured doing about 0% today — part human, part machine.
O*NET-SOC 19-5012
How your 22 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 moderate share of this job's tasks (~40%). 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 (~40%), 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 22 tasks, ratedBased on real task-level AI scores — click to collapse
- Maintain all required environmental records and documentation.
- Examine credentials, licenses, or permits to ensure compliance with licensing requirements.
- Maintain logbooks of daily activities, including areas visited or activities performed.
- Prepare or review specifications or orders for the purchase of safety equipment, ensuring that proper features are present and that items conform to health and safety standards.
- Conduct worker studies to determine whether specific instances of disease or illness are job-related.
- Recommend corrective measures to be applied based on results of environmental contaminant analyses.
- Review records or reports concerning laboratory results, staffing, floor plans, fire inspections, or sanitation to gather information for the development or enforcement of safety activities.
- Evaluate situations or make determinations when a worker has refused to work on the grounds that danger or potential harm exists.
- Plan emergency response drills.
- Prepare documents to be used in legal proceedings, testifying in such proceedings when necessary.
- Provide consultation to organizations or agencies on the workplace application of safety principles, practices, or techniques.
- Educate the public about health issues or enforce health legislation to prevent disease, to promote health, or to help people understand health protection procedures and regulations.
- Collect data regarding potential hazards from new equipment or products linked to green practices.
- Confer with schools, state authorities, or community groups to develop health standards or programs.
- Test workplaces for environmental hazards, such as exposure to radiation, chemical or biological hazards, or excessive noise.
- Prepare or calibrate equipment used to collect or analyze samples.
- Supply, operate, or maintain personal protective equipment.
- Verify availability or monitor use of safety equipment, such as hearing protection or respirators.
- Help direct rescue or firefighting operations in the event of a fire or an explosion.
- Inspect fire suppression systems or portable fire systems to ensure proper working order.
- 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.
- Test or balance newly installed HVAC systems to determine whether indoor air quality standards are met.
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.