A pathfinding exploration of how biological experimentation is shifting from a human-driven craft to a programmable, machine-scale system, tracing the rise of self-driving laboratories at the intersection of AI, automation, and cloud infrastructure, and examining how this transition is reshaping discovery, economics, and governance across the life sciences, along with its tangible implications for longevity and healthspan extension.