The era of static trust is over. As cyber ecosystems expand across cloud, remotework, artificial intelligence (AI)-driven threats and machine identities, traditional security models are under growing pressure. The urgency this creates is clear: organizations must not only embrace Zero Trust architectures - where every access request is considered untrusted until verified - but also accelerate their evolution in an adaptive, intelligence-driven direction. This paper distills insights from a Future of Cybersecurity Knowledge Community study. Drawing on interviews with CISOs, practitioners and experts, it identifies three key challenges currently slowing Zero Trust adoption.