Artificial Intelligence (AI) has become a pervasive topic, with narratives frequently oscillating between its potential to enhance the quality of life and its potential to displace human labor. It is probable that AI will, in practice, lead to both outcomes. Within MedTech engineering organizations specifically, this represents a recurring pattern observed over several decades. The demand for engineers would be considerably greater if powerful enabling technologies, such as integrated development environments (IDEs), computer-aided design (CAD), and Electronic Design Automation (EDA) tools, were not available. While these tools evolved at a more gradual pace, their ultimate effect was the same: they augmented the efficiency of engineering tasks, thereby enabling organizations to achieve greater output with fewer personnel. Beyond efficiency gains, these tools also yielded significant improvements in the quality of engineering deliverables as well as expanded the realm of what is possible to achieve in healthcare.