Automation technologies are reshaping coating application through drones, robotics and AI-driven systems designed to improve safety, consistency and productivity.
Artificial intelligence can help coatings teams narrow formulation options, predict performance and monitor processes in real time. Reliable gains, however, depend on data quality, governance and human oversight.
Machine learning is moving closer to formulation, quality control and application decisions, but dependable results still rest on the data, guardrails and human expertise behind those systems.
A new market analysis outlines where chemical companies are allocating AI investment as operational, regulatory and sustainability pressures intensify.
PCI EXCLUSIVE: Dow’s latest results point to a broader shift as artificial intelligence and restructuring become embedded in day-to-day operations across chemical and coatings companies.
The new operating system brings together non-contact coating thickness measurement, advanced connectivity, and integrated AI tools to make outcome-based coating regulation accessible for every production line.
Dow applies large language models to convert subjective paint application feedback into structured performance data, accelerating coatings R&D analysis.
Industry leaders share real-world examples of how AI is reshaping coatings R&D, from data foundations to formulation speed, sourcing and talent strategy.