Predictive maintenance does have a few potential downsides. It can be expensive to set up due to the initial investment in IoT devices, software, and possibly, training for staff. It also requires a continuous flow of high-quality data, and if there are gaps or inaccuracies in this data, it may lead to erroneous predictions. Additionally, it may not be suitable for all types of maintenance tasks, some of which may still require traditional preventive measures.