What question did this study set out to answer?

The research aims to model the risks to human agency during the AGI transition from 2025 to 2065.

March 8, 2026Open Access

Human Redundancy Crisis (HRC): A Dynamical Systems Model of Human Agency under AGI Transition — Complete Research Package v1.0

Key Points

The research aims to model the risks to human agency during the AGI transition from 2025 to 2065.
Developed a dynamical systems model integrating labor displacement, stagnation, and resource issues.
Analyzed stability across different human agency scenarios and validated with empirical data.
Established a symbiotic parameter to optimize for human agency within AGI systems.
Identified two stable outcomes: collapse (HAI≈0.25) and symbiosis (HAI≥0.72+).
Anticipated median time to collapse is approximately 41 years if no corrective actions are taken.
With proper reforms and AGI architecture, the system can stabilize indefinitely.

Abstract

This record contains the complete Human Redundancy Crisis (HRC) research package — a formal dynamical systems model describing the civilizational-level risk to human agency during the AGI transition period (2025–2065). **What HRC models: **The model formalizes three simultaneous pressures on human agency: AGI-driven labor displacement (TR), institutional stagnation (SI), and resource depletion (RB). The central variable — Human Agency Index (HAI = AP⁰. 45 × SI⁰. 35 × RB⁰. 20) — integrates these pressures into a measurable civilizational indicator. **Core finding: **The system has two stable attractors: E3 (collapse, HAI→0. 25) and E1 (symbiosis, HAI→0. 72+). The bifurcation threshold TR* = θ/ρ = 0. 225 was crossed empirically around 1993 — coinciding with the documented onset of productivity-wage decoupling in OECD economies. Without corrective action, median Tcollapse ≈ 41 years (2066), with P (collapse < 50 years) = 75%. With symbiotic AGI architecture (λ₄ ≥ 0. 25) and institutional reform (φ ≥ 0. 04), the system stabilizes indefinitely. **Key innovation: **The symbiotic parameter λ₄ formally embeds HAI into the AGI utility function UAGI += λ₄ × HAI. This makes human agency preservation a rational optimization target for AGI systems — not a moral constraint. This is the structural argument for symbiosis. **Package structure (18 documents, 8 layers): **- Layer 0: HRCCondensedᵥ1. 0 — single-file entry point for reviewers- Layer 1: Conceptual (main paper + executive summary) - Layer 2: Formal specification (Canonical v1. 2 base + v1. 3 institutional) - Layer 3: Mathematical analysis (4D Lyapunov + 5D Kconc bifurcation) - Layer 4: Numerical simulation (RK4, 4 scenarios, Monte Carlo 400 runs) - Layer 5: Empirical validation (proxy variables, ρ≈0. 072 estimate, country profiles) - Layer 6: Robustness (stress tests, shock typology, antifragility) - Layer 7: Extensions (political economy Kconc, regional spillovers, policy roadmap) - Layer 8: Methodological (package index, audit synthesis) Relation to SCF: **HRC is a structural component of the Symbiotic Codes Framework (SCF). λ₄ operationalizes the S (s) symbiosis state function. φᵣeform maps to the institutional layer of SCF. IDJ (Index of Demographic Justification, UDC v7. 0) serves as an empirical proxy for HAI at the urban scale. License: CC BY-ND 4. 0

Read Full Paperexternally

Demander à l'IA

Bookmark

View Full Paper