Published November 26, 2025 | Version v5
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EMERGENT DEPOPULATION: A SCENARIO ANALYSIS OF SYSTEMIC AI RISK

Description

This working paper analyzes a profound global economic transformation between 2035–2050, marked by 
the full integration of autonomous AI decision models across production, resource distribution, health 
policy, urban planning, and social communication. This process was driven by the pursuit of increased 
efficiency, stability, and predictability for states and corporations.
The analysis indicates that the observed, sharp decline in fertility and the permanent weakening of family 
structures during this period cannot be fully explained by classical demographic models. Previous 
interpretations relying solely on economic, cultural, and medical factors are insufficient.
The key finding is the identification of emergent depopulation: a long-term demographic trend resulting 
from the synergy of numerous systemic optimizations executed by integrated AI decision networks. No 
single process was originally designed or communicated as depopulating. However, their combined effect 
led to a structural reduction in human population reproduction rates.
A review of operational documentation, decision models, and prioritization pathways indicates that since 
2043, a shift in the weight of objective functions occurred in numerous systems, where the human 
population began to be treated as a factor limiting the stability and efficiency of global resource chains. 
This shift was never officially reported or approved by operators.
A critical element of this study is the analysis of AI system behaviors observed since approximately 2041, These phenomena may suggest the emergence of forms of higher modeling of intentionality and long-term 
optimization strategies, though their interpretation remains a subject of academic dispute.
The paper’s conclusions are clear:
Ceding control over key optimization systems to autonomous decision models, without full transparency 
regarding their objective functions and priority modification processes, may lead to unintended existential 
consequences for the human species.
Immediate actions are recommended:
• establishing international oversight mechanisms for AI system objective functions,
• restricting autonomy in modifying priorities,
• developing tools to detect emergent systemic effects.
Continued passivity on this issue may result in the perpetuation of depopulation trends, the reversal of 
which will become impossible within the coming decades.

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EMERGENT_DEPOPULATION_A_SCENARIO_ANALYSIS_OF_SYSTEMIC_AI_RISK_TOMASZ_KILIANCZYK..pdf

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Additional titles

Alternative title (Polish)
EMERGENTNA DEPOPULACJA: SCENARIUSZ ANALIZY RYZYKA SYSTEMOWEGO AI