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Displacement or Complementarity? The Labor Market Impact of Generative AI

Chen, Srinivasan, Zakerinia

2025MIT Exploration of Generative AI
Theoretical / conceptualInterdisciplinary
LLM / Generative AIHuman-AI collaborationDecision-makingAlgorithmic management
Abstract

Generative AI is poised to reshape the labor market, affecting cognitive and white-collar occupations in ways distinct from past technological revolutions. This study examines whether generative AI displaces workers or augments their jobs by analyzing labor demand and skill requirements across occupations. Our findings reveal a heterogeneous effect: generative AI-driven automation reduces labor demand and skill requirements in structured cognitive-task jobs, while increasing both demand and skill complexity in positions that involve human-AI collaboration. These results highlight the importance of understanding generative AI's nuanced impact on the labor market and designing targeted policies to mitigate job displacement while supporting skills development for human-AI collaboration.

Summary

Kaashoek, Raghavan, and Horton use conceptual analysis and scenario-based reasoning to explore how generative AI adoption by job seekers and employers might transform labor market matching processes, identifying potential positive outcomes (better signals, reduced friction) and negative risks (signal corruption, spam, algorithmic bias).

Main Finding

Generative AI could either improve labor market matching by enhancing signal quality and reducing search frictions, or corrupt it through signal homogenization, spam, and algorithmic bias, depending on adoption patterns and implementation choices.

Primary Datasets

Lightcast (formerly Burning Glass)

Labor outcomes

Near-universe of US job postings

Secondary Datasets

None

Key Methods
Conceptual analysis of labor market matching theory; scenario-based exploration of potential positive and negative outcomes
Sample Period
2020-2024
Geographic Coverage
US
Sample Size
Not applicable (no empirical data)
Level of Analysis
Individual, Firm
Occupation Classification
SOC
Industry Classification
None
Notes
HBS WP 25-039; 24% decrease in exposed skills (high-automation jobs) but 15% increase (high-augmentation) [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted. [Claude classification]: This is a conceptual/forward-looking piece rather than an empirical study. Authors explore potential impacts of LLMs on labor market matching through scenario analysis, drawing on search and matching theory, signaling theory, and parallels to online job search literature. Published in MIT's Generative AI exploration series (not a traditional peer-reviewed journal). No formal model, no data analysis, no experiments conducted.