Rodney Brooks breaks tech deployment into four time scales to avoid bad predictions

Four Time Scales for Technology Development and Deployment

Rodney Brooks lays out four time scales that explain why tech predictions often fail. New research ideas typically need 10–20 years to reach solid lab demos—deep learning took six decades from the 1943 neuron model to AlexNet in 2012. Then comes the hype cycle: AI agents went from zero mentions in mid-2025 to covering San Francisco bus ads today. He warns that people who don't understand technology easily confuse research breakthroughs with deployment timelines and make wildly wrong forecasts.

Why it matters: Rodney Brooks is former CSAIL director at MIT, co-founder of iRobot and Robust.AI, with four decades of hands-on AI/robotics experience and a public prediction track record. This isn't a generic think piece — he validates the four-stage framework against his own 2018 predictio...