This study explores the gap between commercial multi-project scheduling software and the latest advances in academic algorithms. To highlight this gap, we use Microsoft Project 2021 to schedule a selection of artificial multi-project instances from the public MPSPLib library, a standard reference for multi-project benchmarking. Our findings reveal a significant performance difference between this software and the state-of-the-art algorithms in the field. To our knowledge, this is the first study to examine the performance of Microsoft Project in a multi-project environment. We argue that companies operating in a multi-project environment could greatly benefit from incorporating these advanced algorithms into commercial software.