Source: a16z
As robotics companies move beyond lab environments, generating photorealistic training data at scale through synthetic worlds has shifted from optional to essential. This redirects investment and hiring away from traditional hardware-first robotics toward companies building simulation and synthetic data infrastructure—the layer that compresses years of real-world testing into months. The competitive advantage accrues to teams controlling the digital environments where robots learn, not to the best robot designers.