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Keywords:AI 

Working Paper
How Demand for New Skills Affects Wage Inequality: The Case of Software Programmers

We study how the demand for programming skills has impacted inequality. We create a new dataset with information on wages, employment, and software of Brazilian programmers, covering the period from the birth of information technology (IT) to the rise of artificial intelligence (AI). High-ability, high-wage, and highly educated individuals in key technology hubs are more likely to become programmers. Creating software boosts both wages and career prospects of programmers, especially for those with specialized skills in AI and cybersecurity. These wage gains are concentrated among top ...
Working Paper Series , Paper WP 2024-19

Journal Article
Has AI Improved Productivity?

Research Spotlight on "Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform." Erik Brynjolfsson, Xiang Hui, and Meng Liu. National Bureau of Economic Research Working Paper No. 24917, August 2018.
Econ Focus , Issue 4Q , Pages 07-07

Briefing
The Productivity Puzzle: AI, Technology Adoption and the Workforce

In 1987, economist Robert Solow said, "You can see the computer age everywhere but in the productivity statistics."1 This quote underscores the challenges in tracing the effects of information technology and automation on productivity and the economy at large. Understanding the role of technology in labor productivity growth remains an ongoing quest in economics, one made even more pertinent by recent advances in artificial intelligence (AI) as well as the further adoption of generative AI and large language models (LLMs).Estimates of the effect of AI on economic and productivity growth range ...
Richmond Fed Economic Brief , Volume 24 , Issue 25

Working Paper
Artificial Intelligence Methods for Evaluating Global Trade Flows

International trade policies remain in the spotlight given the recent rethink on the benefits of globalization by major economies. Since trade critically affects employment, production, prices and wages, understanding and predicting future patterns of trade is a high-priority for decision making within and across countries. While traditional economic models aim to be reliable predictors, we consider the possibility that Artificial Intelligence (AI) techniques allow for better predictions and associations to inform policy decisions. Moreover, we outline contextual AI methods to decipher trade ...
International Finance Discussion Papers , Paper 1296

Working Paper
The Rise of AI Pricing: Trends, Driving Forces, and Implications for Firm Performance

We document key stylized facts about the time-series trends and cross-sectional distributions of AI pricing and study its implications for firm performance, both on average and conditional on monetary policy shocks. We use the universe of online job posting data from Lightcast to measure the adoption of AI pricing. We infer that a firm is adopting AI pricing if it posts a job opening that requires AI-related skills and contains the keyword “pricing.” At the aggregate level, the share of AI-pricing jobs in all pricing jobs has increased by more than tenfold since 2010. The increase in ...
Working Paper Series , Paper 2024-33

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