A speaker (Scott Wu) argues that past major tech revolutions—personal computers, the Internet, and mobile phones—depended heavily on hardware distribution which limited and paced their adoption, whereas AI today can grow far more explosively because it lacks that hardware-distribution constraint.
Chapters
Most of the big tech revolutions that we've had over the last 50 years, I'm thinking about like personal computer and the Internet and the mobile phone. They all had this, this big hardware component that was a big part of the distribution. Right. And so, you know, you had the Internet and initially it was just these universities that were talking with one another. But obviously over time we got the whole world plugged into the Internet and it took years and years and years. Same thing was true with mobile phones, same thing was true with PC. Right. In these hardware distribution regimes, folks who were building for those industries can of saw their market grow and grow and grow basically steadily year over year. As the number of people with mobile phones increased. Right. As the number of people connected to the Internet increased. Right. And I think one of the things which is already, I'd say different in AI is just how explosive the technology can be. There's no weight on hardware distribution that is causing that. It means that the space is just growing so exponentially.