For decades, drivers with a high malus were effectively trapped by statistical profiling: once labeled “risky,” they paid the price of that category with little room for nuance. Data and artificial intelligence are now starting to disrupt that model, even if they do not abolish it.
A high-malus motorist used to have only one realistic option: turn to a specialist insurer such as SOS Malus, because mainstream coverage was often out of reach. The underwriting decision was based on a file that reflected group-level risk rather than the individual driver’s actual behavior. That approach is now being challenged by AssurTech players that use richer data and AI to move beyond blanket judgments.
The shift does not mean insurers are suddenly ignoring risk. Instead, they are refining how it is measured, with the goal of making auto insurance more accessible to profiles that were previously excluded or penalized too heavily. In practice, this could mean more individualized pricing and a better chance for drivers with a poor claims history to find coverage outside the narrow specialist segment.
The broader implication is clear: data and AI are redrawing the boundaries of insurability in auto insurance, especially for drivers long treated as statistical outliers.