Chemical manufacturing employs roughly 500,000 people in the United States. According to the Bureau of Labor Statistics, workers in that sector noted a total recordable incident rate of 4.2 in 2024, compared to the all-industry average of 3.2. That’s a 32% gap, and it has resisted decades of conventional safety intervention. 

Between improved labeling standards, adoption of the Globally Harmonized System of Classification and Labeling of Chemicals (GHS), and Occupational Safety and Health Administration process safety management rules, the industry has made genuine progress. Yet chemical exposures still caused 174 worker deaths in 2023, according to the OSHA chemical exposure database.

The gap between published hazard data and actual prevention outcomes is the core problem. The reason it persists is largely a data processing problem, one that AI tools are now beginning to address at scale.

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