Experts predict that ride-hailing services will generate the greatest demand for AI-compatible control units. Driverless robo-taxis are expected to reduce CO₂ emissions and gridlock in cities, thus saving time and helping the environment while still allowing for individual mobility. The demand for computing power in this field is particularly high. “Demand from ride-hailing service providers for even more computing power has arisen much sooner than predicted. The market for autonomous driving will be propelled forward by the new mobility providers much more so than by established vehicle manufacturers,” says Gollewski. The reason? In these mobility-as-a-service applications, vehicles not only need to process what is happening around them, which is already a complex task, but also need to integrate user data via the cloud, complete payment transactions, and, most importantly, determine and take the optimal route. Complex algorithms calculate these routes on the basis of the mobility and transportation requirements of passengers or goods, and compare them to the latest traffic conditions in real time. All of this is only possible with an extremely powerful mainframe computer – for example, the ZF ProAI RoboThink.