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2026
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| Online Access: | https://doi.org/10.5281/zenodo.20132897 |
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| _version_ | 1866901690464075776 |
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| author | Lee, Ian |
| author_facet | Lee, Ian |
| contents | <p></p> <p><strong>Abstract</strong></p> <p>AI-driven efficiency leaps generate structural excess profits while simultaneously displacing labor on an irreversible, large scale. This transforms distributive conflicts from sector-specific anomalies into a universal systemic imbalance. Existing policy trajectories—capital-dominated, power-dominated, or vote-dominated—are all forms of single-point thinking that anchor redistribution to a single agent, rendering them vulnerable to capture and systemic backfire. Drawing on engineering philosophy, this paper proposes a three-tier probabilistic design for AI dividend distribution: (1) a <strong>universal baseline guarantee</strong> to prevent systemic collapse without eroding incentives; (2) <strong>sectoral targeting</strong> with outcome-verified subsidies, dynamic tax triggers, and hard liability constraints to counter deskilling and monopolistic self-reinforcement; and (3) <strong>diversified reserves</strong> in art, philosophy, and frontier science to preserve systemic variation and escape routes during crises. The model replaces static moral debates with continuous feedback loops—observe, evaluate, adjust weights, re-observe—calibrated by unemployment thresholds, Gini coefficients, and profit-margin triggers. The South Korean "Citizen Dividend" proposal (May 2026) is analyzed as a symptomatic case: answering "to whom" without specifying "how, how much, and how to adjust" invites market punishment. The framework closes with a boundary condition: without a global minimum tax regime, national-level parameter tuning will be undermined by cross-border capital flight.</p> <p><strong>Keywords</strong></p> <p>AI dividend distribution, engineering philosophy, structural displacement, three-tier redistribution, dynamic parameter tuning, probabilistic design, universal basic guarantee, sectoral targeting, diversified reserves, global minimum tax</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20132897 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI Dividend Distribution: Dynamic Reconstruction from the Particular to the Universal Lee, Ian <p></p> <p><strong>Abstract</strong></p> <p>AI-driven efficiency leaps generate structural excess profits while simultaneously displacing labor on an irreversible, large scale. This transforms distributive conflicts from sector-specific anomalies into a universal systemic imbalance. Existing policy trajectories—capital-dominated, power-dominated, or vote-dominated—are all forms of single-point thinking that anchor redistribution to a single agent, rendering them vulnerable to capture and systemic backfire. Drawing on engineering philosophy, this paper proposes a three-tier probabilistic design for AI dividend distribution: (1) a <strong>universal baseline guarantee</strong> to prevent systemic collapse without eroding incentives; (2) <strong>sectoral targeting</strong> with outcome-verified subsidies, dynamic tax triggers, and hard liability constraints to counter deskilling and monopolistic self-reinforcement; and (3) <strong>diversified reserves</strong> in art, philosophy, and frontier science to preserve systemic variation and escape routes during crises. The model replaces static moral debates with continuous feedback loops—observe, evaluate, adjust weights, re-observe—calibrated by unemployment thresholds, Gini coefficients, and profit-margin triggers. The South Korean "Citizen Dividend" proposal (May 2026) is analyzed as a symptomatic case: answering "to whom" without specifying "how, how much, and how to adjust" invites market punishment. The framework closes with a boundary condition: without a global minimum tax regime, national-level parameter tuning will be undermined by cross-border capital flight.</p> <p><strong>Keywords</strong></p> <p>AI dividend distribution, engineering philosophy, structural displacement, three-tier redistribution, dynamic parameter tuning, probabilistic design, universal basic guarantee, sectoral targeting, diversified reserves, global minimum tax</p> |
| title | AI Dividend Distribution: Dynamic Reconstruction from the Particular to the Universal |
| url | https://doi.org/10.5281/zenodo.20132897 |