The Nancy Grace Roman telescope launching in September represents more than NASA's $4 billion bet on dark energy research—it's the first major space infrastructure designed from the ground up for AI-native analysis. Wide-field imaging at this scale generates data volumes that exceed human processing capacity by orders of magnitude, making it fundamentally dependent on autonomous interpretation systems. This marks a subtle but crucial shift: we're moving from building tools that humans use to building tools that AI systems use, with humans as downstream consumers of the insights. The telescope's true output won't be images—it'll be algorithmic interpretations of cosmic phenomena that no human will ever directly verify.