AI Adoption in EHS Has Moved Beyond Experimentation, but Governance Concerns Loom Large
Artificial intelligence has become a practical tool across environment, health, and safety functions, with 82% of EHS leaders reporting at least moderate AI use and only 2% indicating no current AI activity, according to a 2026 survey conducted by Wolters Kluwer and the National Safety Council.
One in five respondents reported extensive AI integration within their EHS programs, and a combined 90% said their organizations plan moderate to significant investment in AI technologies. But the rapid adoption is generating parallel anxiety — 90% of respondents expressed at least one concern about AI in EHS, the report found.
AI Gains Traction but Human Judgment Remains the Line
The most frequently cited benefit of AI in EHS was its enhanced ability to predict and prevent incidents, selected by 30% of respondents, followed by improved efficiency in reporting and compliance at 26%, the survey found. High-impact use cases include risk assessment and hazard identification, data analytics and reporting, and predictive maintenance scheduling.
Yet concern about overreliance on AI at the expense of human judgment topped the list of worries, cited by 51% of respondents. Data privacy and security risks followed closely at 50%, while poor-quality data leading to inaccurate outcomes was flagged by 42%. Even among organizations that considered themselves fully AI-ready, 82% expressed at least one concern, according to the report.
The findings point to a clear boundary EHS professionals are trying to maintain: “AI should inform decisions, not own them,” the report said. The research recommended that EHS leaders explicitly define where AI serves as decision support and where human accountability remains essential.
Digitalization Progress Is Uneven, Limiting Analytics Potential
While organizations have made strides in digitalizing compliance-oriented EHS processes, the transition is far from complete. Only 11% of respondents reported fully digital and integrated systems, while 37% described operating with a mix of digital and manual processes. Eighteen percent said they still heavily rely on manual or paper-based workflows, the survey found.
Digitalization is most advanced in foundational areas such as safety data sheet management (58%), inspections and audits (54%), and regulatory reporting (54%). But behavioral, health, and operational processes — including behavior-based safety observations (36%), occupational health monitoring (35%), and permit-to-work systems (30%) — lag significantly, the report said.
This gap matters because the processes least likely to be digitalized “are, in fact, those that most closely tie to day-to-day operations and worker behavior — areas that are widely understood to provide early signals of risk,” the report noted.
Expanding Risk Definitions Outpace Operational Response
The EHS mandate is broadening to encompass psychosocial safety, mental health, fatigue, and hybrid-work risks, the survey found. An overwhelming 87% of respondents agreed that mental health falls within the responsibilities of the safety function, with 62% strongly agreeing. These human-centered risks were identified as among the topics expected to dominate the profession over the next three to five years.
However, when asked to rank anticipated challenges, respondents placed infectious disease preparedness and aging workforce concerns above mental health and workplace stress, suggesting a gap between acknowledgment and prioritization in practice, the report said. The research described EHS leaders as “navigating a crowded agenda where human-centric risks are acknowledged yet often deferred.”
The skills profile for the profession is also shifting. When asked what capabilities junior EHS professionals will need most, respondents ranked understanding how to use AI (48%), digital literacy (45%), and data analysis (42%) above traditional competencies such as regulatory expertise and field experience. Nearly half of respondents indicated their organizations plan to use automation or AI to help offset the impact of retiring personnel, the survey found.
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