“ We then apply GABRIEL to study the history of tech adoption, using it to assemble a novel dataset of 37,000 technologies. Our analysis documents a tenfold decline of time lags from invention to adoption over the indu! strial age, from ~50 years to ~5 years today”

Model suggests 3 things we need to measure to know impact of AI on science: - share of research tasks that AI can perform- performance of AI on tasks- strength of bottlenecks (arithmetic mean vs harmonic mean)

Finds strong agglomeration effects for scientists via a mover design

Who benefits more from automation? Experts or novices? Depends on which task gets automated