We studied how sulfur dioxide in air becomes sulfuric acid through a chemical route that has often been underestimated. By updating reaction data, running chemistry simulations, and using an explainable machine-learning framework, we found that this pathway makes a meaningful contribution and changes how sulfuric acid responds to changes in air pollutants. These findings suggest that reducing emissions of alkene-related organic gases may help limit sulfuric acid formation and particle pollution.