What Can Machines Learn, and What Does It Mean for Occupations and the Economy?

By Erik Brynjolfsson, Tom Michael Mitchell, Daniel Rock. 2018

567 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Sociology and Political Science, Economics & Operations Research

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Citations in the corpus

GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models (2023, methodology): “The variance explained by these earlier eﬀorts (Acemoglu and Autor, 2011a; Frey and Osborne, 2017; Brynjolfsson et al., 2018; Felten et al., 2018; Webb, 2020; Brynjolfsson et al., 2023), along with wage controls, ranges from 60 to 72%, indicating that 28 to 40% of the variation in our AI exposure…”
Time and the Value of Data (2020, unknown): “…Paper 21-016, First Draft: August 2020) have been examined by several authors [e.g., Aghion et al. (2019),Agrawal et al. (2019),Bald-win (2019),Brynjolfsson et al. (2018),Cockburn et al. (2019),Cowgill and Tucker (2020),Jones and Tonetti (2020),Korinek and Stiglitz (2019),Milgrom and Tadelis…”
Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses (2021, background): “…professions in the modern-day American workplace (O*NET Database Releases Archive at O*NET Resource Center, 2019) and are frequently used to measure occupational work or task content in academic research (e.g., Autor & Handel, 2013; Brynjolfsson et al., 2018; Goos, Manning, & Salomons, 2009).”
The Labor Market Impacts of Technological Change: From Unbridled Enthusiasm to Qualified Optimism to Vast Uncertainty (2022, methodology): “Drawing on AI-suitability indexes developed by Brynjolfsson et al. (2018), Felten et al. (2018), and Webb (2020), the paper first predicts which establishments are likely to adopt AI as a function of the suitability of their job task structures (visible in job postings) in the pre-AI era.”
Earnings Dynamics, Changing Job Skills, and STEM Careers* (2020, background): “4 percent in 2019, consistent with the rapid diffusion of automation technologies documented by Brynjolfsson et al. (2018).”
How will Language Modelers like ChatGPT Affect Occupations and Industries? (2023, background): “Second, the article builds on and extends a set of papers that provide systematic methodologies for studying how AI affects occupations (e.g., Brynjolfsson et al, 2018; Frey & Osborne, 2017; Tolan et al., 2021; Webb, 2020).”
The Impact of Artificial Intelligence on the Labor Market (2019, background): “4Examples include Frey and Osborne (2017), Arntz, Gregory, and Zierahn (2017) , Grace et al. (2017), Manyika et al. (2017), Brynjolfsson, Mitchell, and Rock (2018), and Felten, Raj, and Seamans (2017).”
Six Human-Centered Artificial Intelligence Grand Challenges (2023, unknown): “NET) content model for 964 occupations in the US economy was used (Brynjolfsson et al., 2018).”
Human Trust in Artificial Intelligence: Review of Empirical Research (2020, background): “Analyzing tasksacross almost 1,000 occupations, Brynjolfsson et al. (2018) found thatmost occupations inmost industries have at least some tasks that could be replaced by AI (suitable formachine learning).However, there isnooccupation in which all the current tasks could be replaced (Brynjolfsson et”
AI Adoption and System-Wide Change (2021, background): “…for example, there have been numerous exercises designed to identify jobs at risk from AI, the tasks that comprise jobs that are at risk, and the more general impact of automation on the workplace (Webb (2020); Brynjolfsson and Mitchell (2017); Brynjolfsson et al. (2018); Felten et al. (2018)).”
AI and Jobs: Evidence from Online Vacancies (2020, methodology): “The third measure is Suitability for Machine Learning (SML) from Brynjolfsson et al. (2019). To build this measure, Brynjolfsson et al. (2019) develop a 23-item rubric that enables the scoring of the suitability of any task for machine learning.”
Toward understanding the impact of artificial intelligence on labor (2019, background): “Consequently, some have concluded that AI is a fundamentally new technology (3, 65).”
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (2020, methodology): “Previous waves of technological progress have also had a sustained impact on labour markets (Autor and Dorn, 2013), yet the notion prevails that the impact of ML will be different (Brynjolfsson et al., 2018).”
Art and the science of generative AI (2023, background): “Recent research [82,83] demonstrates the need to quantify the specific activities of various artistic workers before comparing them to the actual capabilities of technology.”
New Frontiers: The Origins and Content of New Work, 1940–2018 (2022, background): “On the potential impact of artificial intelligence on jobs, see Brynjolfsson et al. (2018), Felten et al. (2019, 2018), Acemoglu et al. (2020a), Alekseeva et al. (2020), Babina et al. (2020), Grennan and Michaely (2020), and Webb (2020).”