What happens when the most powerful technology of our time is designed for the least vulnerable? While enterprise AI accelerates, millions of people—seniors, disabled users, and digital novices—are left without tools that support or protect them. This session explores how to build inclusive, safety-forward AI platforms that adapt to cognitive load, digital literacy, and trust thresholds. Using ZoraSafe as a case study, we’ll examine how to engineer AI products that not only detect threats, but teach and support users in real time. From scam prevention to memory support, this talk is a rallying cry to expand who we build AI for—and how.