This paper develops a 17-region, 3-skill group, overlapping generations, computable general equilibrium model to evaluate the global consequences of automation. Automation, modeled as capital- and high-skill biased technological change, is endogenous with regions adopting new technologies when...

This paper models the adoption by established firms of technologies that are internally disruptive in that different parts of an organization stand to lose or gain from adoption. When agents disagree with a decision they impose costs on the firm. The paper shows that any resistance to change...

In principle, firms in developing countries benefit from the fact that advanced technologies and products have already been developed in industrialized countries and can simply be adopted, a process often referred to as industrial upgrading. But for many firms this advantage remains elusive....

Analyses of AI adoption focus on its adoption at the individual task level. What has received significantly less attention is how AI adoption is shaped by the fact that organisations are composed of many interacting tasks. AI adoption may, therefore, require system-wide change which is both a...

We construct a grid that covers the key business functions of an establishment and the main technologies used in each of them. We populate this grid with data from over 20,000 establishments in 15 countries. We use this dataset to document novel "facts" about how establishments use technology,...

Economic models provide little insight into when the next big idea and its associated productivity dividend will come along. Once a general purpose technology (GPT) is identified, the economist's toolkit does provide an understanding when firms will adopt a new technology and for what purpose....

Transformative technologies like generative artificial intelligence promise to accelerate productivity growth across many sectors, but they also present new risks from potential misuse. We develop a multi-sector technology adoption model to study the optimal regulation of transformative...

We study the early adoption and diffusion of five AI-related technologies (automated-guided vehicles, machine learning, machine vision, natural language processing, and voice recognition) as documented in the 2018 Annual Business Survey of 850,000 firms across the United States. We find that...

Variation in technology adoption is a key driver of differences in productivity. Previous studies sought to explain variations in technology adoption by heterogeneity in profitability, costs of adoption, or other factors. Less is known about how adoption is affected by bias in the perceived...