Connected/Autonomous/Shared/Electric cars: The automobile industry, like many others, is facing significant challenges. However, established industries are known for their overoptimized New Product Development (NPD) and overstructured strategic knowledge organization through domains of expertise, which are not compatible with radical innovation. Moreover, grand challenges require knowledge in new domains such as Artificial Intelligence, Cybersecurity, Data, Ecology, etc. That's why innovations for grand challenges must involve the management of new expertise alongside the existing ones. Recent studies report the emergence of a new form of expertise, the experts of the unknown, to assist existing experts in innovating more effectively. However, no study explains concretely how this translates. Thus, the research question is as follows: How can experts of the unknown help traditional experts to learn in the context of grand challenges? To answer this question, we examined the literature on the learning processes for innovation through R&D in the automotive industry, NPD, and experts. We conducted three studies at Renault with patent authors in AI and innovation experts to understand their learning processes for innovation. We discovered first that the role of experts has changed: they are now responsible for identifying problems from grand challenges that are vital for their company. Then, the experts of the unknown have created a process to help others gain knowledge in new domains of expertise, identify innovative concepts, and develop innovative solutions to face grand challenges. This animation of knowledge acquisition is a new emergence regime of expertise.