 My research is about the relationship between productivity growth and the diffusion of new general purpose technologies in two contexts. One is currently the productivity paradox where we've got optimism about technological progress and the potential of new technologies like AI and machine learning at the same time that actual productivity performance is really poor and we explore why that's happening. What we think is most likely is that there are implementation costs that need to be paid. Then the second element that we look at in the research is more general about the relationship between measured productivity growth and technological change and why when a new technology is first diffusing you can actually under-measure productivity growth early and then over-measure it later and we explain why that might happen.