David Autor, David A. Mindell, and Elisabeth B. Reynolds: The Work of the Future—Building Better Jobs in an Age of Intelligent Machines

By Amanda Michaud. 2022

Subfields: AI Ethics, Fairness & Society, Economics & Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In AI Ethics, Fairness & Society

1. Daniel Rock
2. Pamela Mishkin
3. Tyna Eloundou
4. Sam Manning
5. David H. Autor

In Economics & Operations Research

1. David H. Autor
2. Tyna Eloundou
3. Pamela Mishkin
4. Sam Manning
5. Daniel Rock

Citations in the corpus

• GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models (2023, methodology): “For the remainder of the paper we spell out general-purpose technologies when it is used outside of stating "GPTs are GPTs." potential will emerge across a broad range of economically valuable use cases, including the creation of new types of work (Acemoglu and Restrepo, 2018; Autor et al., 2022a).”
• The Labor Market Impacts of Technological Change: From Unbridled Enthusiasm to Qualified Optimism to Vast Uncertainty (2022, background): “30 The divergence between the upward path of productivity growth and the near plateauing of median wage growth among U.S. workers was not an inevitable consequence of technology, globalization, or market forces (Autor et al. 2022).”