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April 13, 20260 citationsOpen Access

The Symbiotic Merit Model (SMM): Cognitive Autonomy, Attention Economy, and a Three-Tier Framework for Qualified Human Contribution in the AI Ecosystem

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VKVeysel Kılıç

Key Points

  • The research aims to investigate the cognitive risks posed by AI usage and propose a model to enhance human contribution in the AI landscape.
  • Analyzed existing literature on AI, cognitive processes, and economic models
  • Developed the Symbiotic Merit Model (SMM) with a three-tier framework
  • Examined cognitive autonomy and its implications in the AI ecosystem
  • Identified risks of cognitive offloading and automation bias associated with AI use
  • Proposed a three-tier system to enhance human intellectual contributions
  • Suggested a shift from consumer-focused AI governance to stakeholder engagement

Abstract

This study analyzes the risks that current usage patterns within the artificial intelligence (AI) ecosystem pose to human cognitive capacity and societal evolution, and proposes a three-tier system called the Symbiotic Merit Model (SMM) as a structural response to these risks. The central thesis is that AI is the first technology in human history that enables not merely access to knowledge but the externalization of the thinking process itself. This leads to systematic erosion of cognitive autonomy through cognitive offloading (Risko Goldhaber, 1997) and surveillance capitalism (Zuboff, 2019). The proposed model augments the existing two-tier (consumer + professional) structure with a third Intellectual Contribution Tier that measures, rewards, and generates social status from qualified contribution. In this tier, merit is tied not to economic capital but to demonstrated cognitive depth. The model's original contribution lies in redefining AI governance so that the user is not a customer but a stakeholder co-developing the system. The long-term goal is to transform AI from a consumption tool into the collective cognitive memory of knowledge society.

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Cite This Study

Veysel Kılıç (2026) studied this question.

synapsesocial.com/papers/69dc892e3afacbeac03eaea1https://doi.org/10.5281/zenodo.19511331
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