How does the economy react to the arrival of a new major technology? The ex
isting literature on general-purpose technologies (GPTs) has studied the ro
le that mechanisms like secondary innovations, diffusion, and learning by f
irms play in the adjustment process. By contrast, we focus on a new mechani
sm: the interplay between technological change and two types of human capit
al-technology-specific experience and education. We show that technological
change that requires more education and training, like computerization, ne
cessarily produces an initial slowdown. On the other hand, technological ch
ange that lowers the training requirements, like the move from the artisan
shop to the factory, can produce either a bust or a boom. We identify three
key properties that determine the outcome: (1) the productivity of inexper
ienced workers, (2) the speed with which experience raises productivity, an
d (3) the level of general skills required to operate the new technology.