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Back to papersSummary Main Finding Notes NBER WP 32140; Ely Lecture (AEA 2024)
[Claude classification]: Originally drafted for NOEMA Magazine; Ely Lecture at AEA 2024. This is an essay/argument piece rather than an empirical study. Autor explicitly states 'My thesis is not a forecast but an argument about what is possible.' The paper synthesizes historical perspective on expertise (artisanal → mass → elite) with recent experimental evidence from other researchers. References to Census/CPS/O*NET are illustrative for historical context, not systematic data analysis.
[Claude classification]: Originally drafted for NOEMA Magazine; Ely Lecture at AEA 2024. This is an essay/argument piece rather than an empirical study. Autor explicitly states 'My thesis is not a forecast but an argument about what is possible.' The paper synthesizes historical perspective on expertise (artisanal → mass → elite) with recent experimental evidence from other researchers. References to Census/CPS/O*NET are illustrative for historical context, not systematic data analysis.
[Claude classification]: Originally drafted for NOEMA Magazine; Ely Lecture at AEA 2024. This is an essay/argument piece rather than an empirical study. Autor explicitly states 'My thesis is not a forecast but an argument about what is possible.' The paper synthesizes historical perspective on expertise (artisanal → mass → elite) with recent experimental evidence from other researchers. References to Census/CPS/O*NET are illustrative for historical context, not systematic data analysis.
[Claude classification]: Originally drafted for NOEMA Magazine; Ely Lecture at AEA 2024. This is an essay/argument piece rather than an empirical study. Autor explicitly states 'My thesis is not a forecast but an argument about what is possible.' The paper synthesizes historical perspective on expertise (artisanal → mass → elite) with recent experimental evidence from other researchers. References to Census/CPS/O*NET are illustrative for historical context, not systematic data analysis.
[Claude classification]: Originally drafted for NOEMA Magazine; Ely Lecture at AEA 2024. This is an essay/argument piece rather than an empirical study. Autor explicitly states 'My thesis is not a forecast but an argument about what is possible.' The paper synthesizes historical perspective on expertise (artisanal → mass → elite) with recent experimental evidence from other researchers. References to Census/CPS/O*NET are illustrative for historical context, not systematic data analysis.
[Claude classification]: Originally drafted for NOEMA Magazine; Ely Lecture at AEA 2024. This is an essay/argument piece rather than an empirical study. Autor explicitly states 'My thesis is not a forecast but an argument about what is possible.' The paper synthesizes historical perspective on expertise (artisanal → mass → elite) with recent experimental evidence from other researchers. References to Census/CPS/O*NET are illustrative for historical context, not systematic data analysis.
[Claude classification]: Originally drafted for NOEMA Magazine; Ely Lecture at AEA 2024. This is an essay/argument piece rather than an empirical study. Autor explicitly states 'My thesis is not a forecast but an argument about what is possible.' The paper synthesizes historical perspective on expertise (artisanal → mass → elite) with recent experimental evidence from other researchers. References to Census/CPS/O*NET are illustrative for historical context, not systematic data analysis.
[Claude classification]: Originally drafted for NOEMA Magazine; Ely Lecture at AEA 2024. This is an essay/argument piece rather than an empirical study. Autor explicitly states 'My thesis is not a forecast but an argument about what is possible.' The paper synthesizes historical perspective on expertise (artisanal → mass → elite) with recent experimental evidence from other researchers. References to Census/CPS/O*NET are illustrative for historical context, not systematic data analysis.
[Claude classification]: Originally drafted for NOEMA Magazine; Ely Lecture at AEA 2024. This is an essay/argument piece rather than an empirical study. Autor explicitly states 'My thesis is not a forecast but an argument about what is possible.' The paper synthesizes historical perspective on expertise (artisanal → mass → elite) with recent experimental evidence from other researchers. References to Census/CPS/O*NET are illustrative for historical context, not systematic data analysis.
[Claude classification]: Originally drafted for NOEMA Magazine; Ely Lecture at AEA 2024. This is an essay/argument piece rather than an empirical study. Autor explicitly states 'My thesis is not a forecast but an argument about what is possible.' The paper synthesizes historical perspective on expertise (artisanal → mass → elite) with recent experimental evidence from other researchers. References to Census/CPS/O*NET are illustrative for historical context, not systematic data analysis.
[Claude classification]: Originally drafted for NOEMA Magazine; Ely Lecture at AEA 2024. This is an essay/argument piece rather than an empirical study. Autor explicitly states 'My thesis is not a forecast but an argument about what is possible.' The paper synthesizes historical perspective on expertise (artisanal → mass → elite) with recent experimental evidence from other researchers. References to Census/CPS/O*NET are illustrative for historical context, not systematic data analysis.
Applying AI to Rebuild Middle Class Jobs
Autor
2024NBER Working Paper Series93 citations
Theoretical / conceptual
AI (General)HealthcareLegalSoftware / codingEducationAugmentation vs. substitutionTraining / upskillingJunior / entry-level
Autor develops a conceptual framework arguing that AI could restore middle-class employment by enabling workers with foundational training to perform expert decision-making tasks currently restricted to elite professionals, drawing on historical analysis of technological change and recent experimental evidence.
AI could potentially restore middle-class jobs by enabling workers with foundational expertise to perform higher-stakes decision-making tasks currently restricted to elite experts (doctors, lawyers, software engineers, professors), thereby moderating inequality and lowering costs of key services, though this outcome depends on institutional choices rather than technological determinism.
Secondary Datasets
None
- Key Methods
- Conceptual framework drawing on historical analysis of technological change and expertise; synthesizes recent experimental evidence from other studies
- Sample Period
- Historical and forward-looking
- Geographic Coverage
- US
- Sample Size
- Not applicable (conceptual/framework paper)
- Level of Analysis
- Occupation, Individual, Task
- Occupation Classification
- O*NET-SOC
- Industry Classification
- None