A vast literature seeks to measure and explain the apparent decline in the labor share in
national income that has occurred in recent times in the United States and elsewhere. The …

The role played by technological change in employment trends has long been debated and
investigated, but the evidence has proven to be inconclusive. This paper aims to shed light …

We report the development of GPT-4, a large-scale, multimodal model which can accept
image and text inputs and produce text outputs. While less capable than humans in many …

We investigate the potential implications of large language models (LLMs), such as
Generative Pre-trained Transformers (GPTs), on the US labor market, focusing on the …

We use detailed administrative data to study the adjustment of local labor markets to
industrial robots in Germany. Robot exposure, as predicted by a shift-share variable, is …

The success and widespread deployment of artificial intelligence (AI) have raised
awareness of the technology's economic, social, and political consequences. Each new step …

We present a framework for understanding the effects of automation and other types of
technological changes on labor demand, and use it to interpret changes in US employment …

With the continuous development of technology, intelligent production, which brings huge
changes to social welfare, has gradually become the main trend in the economic …

We study inference in shift-share regression designs, such as when a regional outcome is
regressed on a weighted average of sectoral shocks, using regional sector shares as …

In the presence of markup differences, externalities, and other social effects, the direction of
innovation can be systematically distorted. I build a simple model of endogenous technology …