Share and intensity of work current AI systems can materially affect.
SOC 19-5011
Occupational Health and Safety Specialists AI displacement risk
Sensor networks and AI monitoring detect hazards and log exposures automatically, changing how safety data gets collected. Inspections, incident investigation, corrective-action authority, and regulatory defense keep specialists accountable on site.
Likely potential for exposed tasks to move to software after workflow integration.
Monitoring technology extends the specialist's reach — one person can watch more facilities — but every corrective order, investigation, and OSHA-facing report requires a qualified human signature.
Distribution
Where Occupational Health and Safety Specialists sits across 620 tracked roles
Displacement pressure 36 — higher than 61% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
22 O*NET task statements matched to SOC 19-5011. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $90,150 (May 2025, US national). The latest BLS row matched SOC 19-5011.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Occupational Health and Safety Specialists
SOC 19-5011 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 36/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Occupational Health and Safety Specialists
The current evidence import matched 22 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks22
SOC19-5011
- Core task / ID 11063
Recommend measures to help protect workers from potentially hazardous work methods, processes, or materials.
- Core task / ID 11066
Develop or maintain hygiene programs, such as noise surveys, continuous atmosphere monitoring, ventilation surveys, or asbestos management plans.
- Core task / ID 11062
Order suspension of activities that pose threats to workers' health or safety.
- Core task / ID 11064
Investigate accidents to identify causes or to determine how such accidents might be prevented in the future.
- Core task / ID 11067
Inspect or evaluate workplace environments, equipment, or practices to ensure compliance with safety standards and government regulations.
- Core task / ID 11071
Collect samples of dust, gases, vapors, or other potentially toxic materials for analysis.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Inspect workplaces for hazards
Exposure 34, automation 14%, augmentation 54%.
Evaluate exposure and monitoring data
Exposure 54, automation 28%, augmentation 68%.
Prepare compliance reports
Exposure 68, automation 38%, augmentation 70%.
O*NET evidence: Inspect or evaluate workplace environments, equipment, or practices to ensure complianc... (ID 11067)
Recommend protective measures
Exposure 40, automation 16%, augmentation 62%.
O*NET evidence: Recommend measures to help protect workers from potentially hazardous work methods, pro... (ID 11063)
TaskExposureAutomationAugmentation
Inspect workplaces for hazards3414%54%
Evaluate exposure and monitoring data5428%68%
Prepare compliance reports6838%70%
Recommend protective measures4016%62%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
ModerateEHS Manager
Training horizon: 3-6 months. Skill overlap 76. Wage preservation signal 118.
- Own site safety programs
- Lead audit programs
- Track leading-indicator metrics
credentialed transition
ModerateCertified Industrial Hygienist
Training horizon: 12-24 months. Skill overlap 64. Wage preservation signal 114.
- Study exposure science
- Complete CIH preparation
- Build sampling program experience
Comparison guides
Compare the next move before you commit
3-6 months
Occupational Health and Safety Specialists to EHS Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Occupational Health and Safety Specialists into EHS Manager.
12-24 months
Occupational Health and Safety Specialists to Certified Industrial Hygienist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Occupational Health and Safety Specialists into Certified Industrial Hygienist.
What the AI risk score means for Occupational Health and Safety Specialists
The displacement pressure score for Occupational Health and Safety Specialists is 36. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Prepare compliance reports carries 38% automation pressure, while Prepare compliance reports carries 70% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $90,150 (May 2025, US national). Employment context: Workplace safety role with regulatory and ESG-driven demand. Typical education: Bachelor's degree common.
Wage vulnerability is 36, while transition feasibility is 70. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Moderate displacement pressure
- Sensors extend inspection reach
- Corrective authority stays human
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Occupational Health and Safety Specialists, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Hazard assessment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Regulatory compliance
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Incident investigation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Monitoring data analysis
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to EHS Manager, such as own site safety programs.
- By 90 days, compare internal openings and external postings for EHS Manager or Certified Industrial Hygienist and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Occupational Health and Safety Specialists
Will AI replace Occupational Health and Safety Specialists?
Sensor networks and AI monitoring detect hazards and log exposures automatically, changing how safety data gets collected. Inspections, incident investigation, corrective-action authority, and regulatory defense keep specialists accountable on site. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Occupational Health and Safety Specialists work are most exposed to AI?
Prepare compliance reports and Evaluate exposure and monitoring data show the strongest automation pressure in this model. Prepare compliance reports and Evaluate exposure and monitoring data are better treated as AI-augmented work.
What should Occupational Health and Safety Specialists learn next?
Start with Hazard assessment, Regulatory compliance, Incident investigation. The most practical adjacent paths in this model are EHS Manager and Certified Industrial Hygienist.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics