Survivor Governance
Authority Concentration under AI-Driven State Contraction
- Wu, Shaoyuan
Global AI Governance and Policy Research Center, EPINOVA LLC
https://orcid.org/0009-0008-0660-8232
Description
This working paper introduces Survivor Governance as a political form emerging from AI-driven functional contraction of the state. It argues that AI can expand governmental capacity while reducing the human administrative apparatus, creating authority concentration among the remaining human officials who remain institutionally indispensable. The paper analyzes the mechanisms of state contraction, survivor group formation, authority consolidation, the Shark Effect, democratic and social externalities, and institutional safeguards against survivor lock-in.
Abstract
Artificial intelligence (AI) is increasingly integrated into governmental operations, enhancing administrative efficiency, analytical capacity, and policy execution. At the same time, it induces a structural contraction of the human apparatus of the state by automating large portions of routine and procedural work. This dual transformation—capacity expansion alongside organizational shrinkage—creates a fundamental asymmetry: while governmental functions can be automated, political authority cannot. Consequently, power does not disappear with institutional downsizing; it concentrates within a narrowing circle of human officials who remain institutionally indispensable. This article introduces Survivor Governance as a political form emerging from this transformation. Survivor Governance does not denote technocracy, nor rule by AI experts. Rather, it describes a mode of governance in which authority accumulates by default among those who survive AI-driven functional contraction of government, regardless of whether they are optimally suited for governing in an AI-enabled state. By focusing on the internal transformation of government rather than democratic decline per se, the article provides a structural explanation for emerging patterns of political closure, institutional conservatism, and declining administrative mobility under AI-enabled governance.
Files
| Name | Type | |
|---|---|---|
| Survivor Governance.pdf Full-text PDF of the publication | application/pdf | Download |
Keywords
- Survivor Governance
- AI-driven state contraction
- AI governance
- State transformation
- Authority concentration
- Functional contraction
- Administrative automation
- Institutional survivorship
- Political closure
- Institutional conservatism
- Government automation
- Human authority
- Public administration
- Democratic accountability
- AI-enabled governance
Subjects
- AI Governance
- Political Science
- Public Administration
- State Transformation
- Institutional Design
- Governance Theory
Recommended citation
Wu, Shaoyuan. (2025). Survivor Governance: Authority Concentration under AI-Driven State Contraction. Global AI Governance and Policy Research Center, EPINOVA LLC. https://doi.org/10.5281/zenodo.18090197. DOI: To be assigned after Crossref membership approval.
APA citation
Wu, S. (2025). Survivor governance: Authority concentration under AI-driven state contraction. Global AI Governance and Policy Research Center, EPINOVA LLC. https://doi.org/10.5281/zenodo.18090197. DOI: To be assigned after Crossref membership approval.
Alternate identifiers
| Scheme | Identifier | Description |
|---|---|---|
| ORCID put-code | 201017623 | ORCID Public API record identifier from early metadata |
| DOI | 10.5281/zenodo.18090197 | Zenodo/DataCite DOI from early metadata |
| File name | Survivor Governance.pdf | Source PDF file name |
| Publication date | 2025-12-20 | Date shown in the PDF title page and early metadata record |
Related works
No related works listed.
References
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