The development of energy-efficient artificial intelligence relies heavily on innovations in chipmaking, driving the need for a collaborative approach to accelerate progress. Historically, breakthroughs have been achieved through concentrated efforts, shared infrastructure, and streamlined feedback loops, as seen in the Human Genome Project. The current AI era has created an engineering race, with companies competing to create more efficient and powerful chips. To stay ahead, manufacturers are adopting new operating paradigms, focusing on collaborative innovation and shared resources. This shift is critical, as sequential and siloed innovation can no longer keep pace with the rapid advancements in AI1. The outcome of this race will have significant implications for the future of technology, as emerging breakthroughs signal where capability and disruption are heading next. So what matters to practitioners is that the collaborative approach to chipmaking innovation will ultimately determine the trajectory of energy-efficient AI development.