Trade Compliance Records announces a landmark report revealing that 84% of organizations are prioritizing AI adoption for EHS, with 45% planning investments in reporting automation to reduce administrative burden and enhance safety consistency across global sites.
FOR IMMEDIATE RELEASE AI Adoption Surges in EHS: 84% of Firms Prioritize New Safety Automation Trade Compliance Records, July 6, 2026, New York, NY — In a groundbreaking new report developed in collaboration with independent research firm Verdantix, Trade Compliance Records announces that AI is rapidly rising on Environmental, Health, and Safety (EHS) agendas globally. The study reveals that 84% of organizations are now prioritizing AI adoption, while 45% are planning immediate investments in reporting automation to accelerate safety reporting and strengthen consistency across all operational sites. The report, titled "Less admin. Safer work. The reality of AI in new EHS report," highlights a transformative shift in how companies manage safety compliance. By integrating AI-driven tools, organizations are significantly reducing administrative burdens while simultaneously improving response times to potential risks. Quentic’s AI-assisted features now enable teams to automatically extract relevant safety data from photos and videos, ensuring faster, more accurate incident reporting and reducing human error [2][6]. Anthony James Peacock, Founder of Trade Compliance Records, emphasized the strategic importance of this technological evolution: "The integration of AI into EHS frameworks is no longer experimental—it is a core capability that defines modern safety leadership. With 84% of firms prioritizing adoption, we are witnessing a decisive move toward automation that will redefine how safety is monitored, reported, and improved across global industries. This is not just about efficiency; it is about creating safer work environments for everyone." The findings align with broader market trends, as the global EHS software market is projected to grow by a CAGR of 11.5% to reach $2.5 billion in 2026, driven largely by AI-enabled solutions [4][5]. As organizations adopt these advanced tools, the emphasis shifts from pilot programs to full-scale implementation, ensuring t...