Chemical management: How artificial intelligence (AI) affects substitution
Chemical substitution, replacing hazardous chemicals with less harmful alternatives, has long been an important tool for improving health, safety, and the environment. In the past, this work has been time-consuming and complex. Now, artificial intelligence is changing how companies in many industries work with chemicals and risk reduction.
Today’s challenges with substitution
Finding safer alternatives to existing chemicals is rarely straightforward. Companies often have to consider:
- Hazard classification and health effects
- Technical performance and function
- Regulations and regulatory requirements
- Availability in the supply chain
Traditionally, this has been done manually, by comparing safety data sheets (SDS), regulations, and internal experiences. The result can be lengthy processes, divergent assessments, and an increased risk of errors. This, in turn, can delay the introduction of safer chemicals and make it more difficult to meet HSE and sustainability requirements.
KI as support in substitution
Artificial intelligence makes it possible to work more systematically and data-driven with chemical substitution. Instead of relying on manual searches and individual assessments, AI can analyze large amounts of chemical data in a short time and provide structured suggestions for alternatives. This can contribute to a better overview, more consistent assessments, and faster decision-making processes.
Although AI can provide valuable analyses and recommendations, the results must always be evaluated by qualified professionals. AI is a decision support tool and not a substitute for chemical, HSE, or regulatory expertise.
Faster identification of safer alternatives
With the help of AI, companies can quickly analyze large amounts of SDS data and other chemical information. The system can suggest substances or products with lower hazard levels, similar functionality, and better regulatory status.
This is particularly useful when regulations change or when there is a need for rapid transition to safer solutions.
Automated assessment of hazards and risks
AI can help interpret complex data, classify hazards, and calculate risk levels in a more standardized way. This reduces differences in assessments between departments and projects.
In addition, KI can reveal incomplete or outdated information, enabling the business to identify where updates or professional reviews are needed.
Better control of regulations – nationally and internationally
Many companies operate in several countries or have to comply with both Norwegian and international requirements. AI-based solutions can monitor regulatory changes and automatically check whether chemicals and proposed alternatives comply with current requirements.
This reduces the risk of unintentional regulatory violations and supports a more proactive approach to chemical management.
Support for sustainability and ESG work
KI can also be used to compare environmental properties such as degradability, ecotoxicity, emissions, and life cycle impact. This provides a better basis for decision-making for companies that work systematically with sustainability, environmental reporting, and ESG requirements.
Artificial intelligence is simplifying and improving the work of chemical substitution. For companies that want to reduce risk, improve the working environment, and be better equipped for future requirements, AI-based solutions can be an important step forward. When used correctly, artificial intelligence can contribute to safer chemical use, better compliance with regulations, and more sustainable choices—across industries and national borders.
