Workforce displacement and job-quality decline
Deployment displaces or de-skills the deployer's workers or degrades job quality, creating transition and morale risk.
- Risk family
- Human & usage
- MIT domain
- 6. Socioeconomic and Environmental
- MIT subdomain
- 6.2 > Increased inequality and decline in employment quality
- AI type
- GPAI, Agentic, Classical_ML
- Scope
- Organization
- Source standard
- MIT AI Risk Repository v4
Provenance
44 entries across 28 papers
- Abercrombie2024A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms58.05.04 58.07.08 58.08.06 58.09.05
- Allianz2018The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks41.01.00 41.01.01
- Anwar2024Foundational Challenges in Assuring Alignment and Safety of Large Language Models73.05.01
- Bengio2024International Scientific Report on the Safety of Advanced AI49.03.01
- Bengio2025International AI Safety Report 202560.03.01
- Clarke2023A Survey of the Potential Long-term Impacts of AI: How AI Could Lead to Long-term Changes in Science, Cooperation, Power, Epistemics and Values55.03.02
- Coghlan2023Harm to Nonhuman Animals from AI: a Systematic Account and Framework44.04.02
- DSIT2023Capabilities and Risks from Frontier AI67.01.02
- EPIC2023Generating Harms - Generative AI's impact and paths forwards31.07.00 31.07.01 31.07.02
- G'sell2024Regulating under Uncertainty: Governance Options for Generative AI47.04.03 47.04.04
- Gabriel2024The Ethics of Advanced AI Assistants24.04.03 24.09.01
- Giarmoleo2024What Ethics Can Say on Artificial Intelligence: Insights from a Systematic Literature Review37.02.03
- IBM2025AI Risk Atlas65.23.03
- Li2025A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents66.04.06
- Meek2016Managing the ethical and risk implications of rapid advances in artificial intelligence: A literature review09.02.06 09.04.01
- Nah2023Generative AI and ChatGPT: Applications, Challenges, and AI-Human Collaboration33.04.01 33.04.03
- Paes2023Social Impacts of Artificial Intelligence and Mitigation Recommendations: An Exploratory Study10.04.00
- Perlo2025Embodied AI: Emerging Risks and Opportunities for Policy Action70.03.01 70.03.02
- Sharma2024Benefits or Concerns of AI: A Multistakeholder Responsibility36.02.00
- Solaiman2023Evaluating the Social Impact of Generative AI Systems in Systems and Society13.02.04
- Tse2025Frontier AI Risk Management Framework (v1.0)72.04.01
- Uuk2025A Taxonomy of Systemic Risks from General-Purpose AI61.02.01 61.02.10
- Weidinger2021Ethical and social risks of harm from language models17.06.02
- Weidinger2022Taxonomy of Risks posed by Language Models16.06.02
- Weidinger2023Sociotechnical Safety Evaluation of Generative AI Systems18.06.03
- Wirtz2020The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration20.03.01
- Wirtz2022Governance of artificial intelligence: A risk and guideline-based integrative framework19.03.00 19.03.01 19.03.02 19.04.00 19.04.01
- Zeng2024AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies50.03.07
Ev IDs of the entries consolidated into this risk in the MIT AI Risk Repository (V4); the source sheet row appears on hover.
Framework crosswalk
Every framework item mapped to this risk. Items marked partial overlap only in part; definitions appear on hover where the source licence permits.
1- A.5.5 ISO/IEC 42001 Annex A A.5.5
2- ibm-ai-agents-impact-on-jobs AI agents' impact on jobs
- ibm-impact-on-jobs Impact on Jobs
More in Human & usage
See all Human & usage risks →Part of the Deployer AI Risk Register, an open-source resource powered by MindXO. Version 1.0, 3 July 2026. Derived from the MIT AI Risk Repository (V4, December 2025) under CC BY 4.0; an independent derivative work, not endorsed by or affiliated with MIT. Sub-risk decomposition references MITRE ATLAS™ v5.6.0 (© 2021-2026 The MITRE Corporation, reproduced and distributed with permission). ISO/IEC and EU AI Act references are by number only. License: CC BY 4.0. Full attribution and licensing.