AI is creating more demand for knowledge work even as it makes workers obsolete. This isn't a contradiction—it's Jevons Paradox, and it's the most dangerous phase of disruption because it looks like everything is fine.
Interactive calculator for the 2026 FRC game REBUILT
The race to develop humanoid robots is unfolding along two very different paths in China and the United States, reflecting contrasting philosophies about how robots should learn and improve. China is taking a bold, fast-paced approach by deploying large numbers of robots directly into real-world environments like factories, streets, and homes. This “learn-on-the-job” strategy allows robots to gather vast amounts of real-world data, which is then used to continuously improve their artificial intelligence. Companies such as Unitree and Agibot are leading this effort, with Agibot even offering an open-source operating system called Lingqu OS to encourage collaboration and innovation across the industry. By flooding the market with task-specific robots, China creates a massive, living laboratory that accelerates progress through collective learning and rapid iteration.
Alexa’s Interface is treated as revolutionary, but you might be surprised to learn of your favorite opinionated cylinder’s predecessors from the mid-1980s.
The evolution of the robotic arm, a product invented in the U.S. that came to define modern factories around the world. It wasn't an easy sell in America.