And all of this will happen far faster than it did in the past, so people won’t get a chance to adapt. If your job gets eliminated by AI, you won’t even have time to reskill for a new job before AI takes that one too.
I propose an alternative to speed as explanation: all previous forms of automation were local. Each factory had to be automated in bespoke fashion one at a time; a person could move from a factory that was automated to any other factory that had not been yet. The automation equipment had to be made some somewhere and then moved to where the automation was happening.
By contrast, AI is global. Every office on earth can be automated at the same time (relative to historical timescales). There’s no bottleneck chain where the automation has to be deployed to one locality, after being assembled in a different locality, from parts made in many different localities. The limitations are network bandwidth and available compute, both of which are shared resource pools and complements besides.
I propose an alternative to speed as explanation: all previous forms of automation were local. Each factory had to be automated in bespoke fashion one at a time; a person could move from a factory that was automated to any other factory that had not been yet. The automation equipment had to be made some somewhere and then moved to where the automation was happening.
By contrast, AI is global. Every office on earth can be automated at the same time (relative to historical timescales). There’s no bottleneck chain where the automation has to be deployed to one locality, after being assembled in a different locality, from parts made in many different localities. The limitations are network bandwidth and available compute, both of which are shared resource pools and complements besides.