ORA Political-Economic-Risks-of-AI
The paper argues that the emergence of advanced artificial intelligence (AI) and artificial general intelligence (AGI) creates unprecedented political‑economic tail risks that differ from prior technological revolutions. Four distinctive features – automation of cognitive tasks, general‑purpose applicability, global scalability, and national‑security relevance – enable AI to concentrate economic power, erode democratic institutions, and potentially collapse human productivity. The author structures the argument around three amplifiers: (1) extreme economic concentration and the rise of a powerful AI‑driven elite; (2) institutional breakdown as democratic and egalitarian mechanisms are undermined; (3) a collapse in human productivity when cheap AI substitutes for labor and capital. To mitigate these risks, the paper proposes a reorientation of competition policy (adopting network‑based measures of control beyond market share, limiting cross‑holding pyramids, and guarding against ‘cognitive capture’), reinforcing democracy through institutional innovations such as sortition (random selection of legislators and officials), and developing sovereign AI capabilities in democratic nations to preserve a balance of power within the US‑led coalition. The conclusion stresses the speculative nature of the analysis, the need for rapid policy action, and the importance of further research on new social institutions to preserve human meaning in a post‑AI world.
Topics
Distinctive Features of AI as Tail‑Risk Drivers
Identifies the four core attributes—automation of cognitive tasks, general‑purpose applicability, global scalability, and national‑security relevance—that make advanced AI and AGI uniquely capable of generating unprecedented political‑economic tail risks.
AI‑Driven Economic Concentration and Competition Policy Reform
Explores how AI’s capabilities can produce hyper‑concentrated global markets through cross‑holding pyramids, network centrality, and other structural mechanisms, and proposes a reorientation of competition policy using network‑based metrics (centrality, input‑output analysis) to curb AI‑induced economic control.
Democratic Erosion and Institutional Innovations (Sortition)
Analyzes the risk that AI‑enabled elite coordination undermines democratic institutions, and recommends institutional counter‑measures such as random selection of legislators and officials (sortition) to restore egalitarian governance.
Human Productivity Collapse Scenario
Projects a future in which cheap, ubiquitous AI substitutes for both labor and capital, leading to a collapse of human‑centric productivity and the emergence of an elite that captures the remaining value.
Sovereign AI Initiatives for a Balanced Democratic Coalition
Advocates for democratic nations to develop domestically owned AI systems to preserve geopolitical balance within the US‑led coalition, citing existing sovereign AI projects in several countries.
Conclusions, Limitations, and Future Research Directions
Summarizes the speculative nature of the analysis, acknowledges uncertainties, and calls for rapid policy action and further research on new social institutions to sustain human meaning in a post‑AI world.