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Automation and the Workforce : A Firm-Level View from the 2019 Annual Business Survey

Acemoglu, Daron; Anderson, Gary; Beede, David Nathan; … - National Bureau of Economic Research - 2022

five advanced technologies: AI, robotics, dedicated equipment, specialized software, and cloud computing. The adoption of …

Persistent link: https://www.econbiz.de/10013462707

Automation and the workforce : a firm-level view from the 2019 Annual Business Survey

Acemoglu, Daron; Anderson, Gary; Beede, David Nathan; … - 2022

Persistent link: https://www.econbiz.de/10013465373

Productivity and Wages : What Was the Productivity-Wage Link in the Digital Revolution of the Past, and What Might Occur in the AI Revolution of the Future?

Lazear, Edward P.; Shaw, Kathryn; Hayes, Grant E.; … - National Bureau of Economic Research - 2022

Wages have been spreading out across workers over time - or in other words, the 90th/50th wage ratio has risen over time. A key question is, has the productivity distribution also spread out across worker skill levels over time? Using our calculations of productivity by skill level for the U.S.,...

Persistent link: https://www.econbiz.de/10013477226

Robots Are Us : Some Economics of Human Replacement

Benzell, Seth G. - 2015

Will smart machines replace humans like the internal combustion engine replaced horses? If so, can putting people out of work, or at least out of good work, also put the economy out of business? Our model says yes. Under the right conditions, more supply produces, over time, less demand as the...

Persistent link: https://www.econbiz.de/10012457725

AI, Labor, Productivity and the Need for Firm-Level Data

Seamans, Robert - 2018

We summarize existing empirical findings regarding the adoption of robotics and AI and its effects on aggregated labor and productivity, and argue for more systematic collection of the use of these technologies at the firm level. Existing empirical work primarily uses statistics aggregated by...

Persistent link: https://www.econbiz.de/10012453474

The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments

Brynjolfsson, Erik; Buffington, Catherine; Goldschlag, … - National Bureau of Economic Research - 2023

across U.S. manufacturing establishments. We find that robotics adoption and robot intensity (the number of robots per … we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing … employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presence of …

Persistent link: https://www.econbiz.de/10014247984

Robots and Jobs : Evidence from US Labor Markets

Acemoglu, Daron - 2017

concern about the future of jobs and wages. We analyze the effect of the increase in industrial robot usage between 1990 and … correlated with these other variables). According to our estimates, one more robot per thousand workers reduces the employment to …

Persistent link: https://www.econbiz.de/10012455396

Some Facts of High-Tech Patenting

Webb, Michael - 2018

Patenting in software, cloud computing, and artificial intelligence has grown rapidly in recent years. Such patents are … patents per inventor has declined near-monotonically, except for large increases in inventor productivity in software and …

Persistent link: https://www.econbiz.de/10012452928

Generative AI at Work

Brynjolfsson, Erik; Li, Danielle; Raymond, Lindsey R. - National Bureau of Economic Research - 2023

We study the staggered introduction of a generative AI-based conversational assistant using data from 5,179 customer support agents. Access to the tool increases productivity, as measured by issues resolved per hour, by 14 percent on average, with the greatest impact on novice and low-skilled...

Persistent link: https://www.econbiz.de/10014250178

AI Adoption in America : Who, What, and Where

McElheran, Kristina; Li, J. Frank; Brynjolfsson, Erik; … - National Bureau of Economic Research - 2023

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...

Persistent link: https://www.econbiz.de/10014421214

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