This analysis proposes the Symbiotic Merit Model to enhance qualified human contributions in the AI ecosystem, suggesting a new governance approach.
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 & Gilbert, 2016) and automation bias (Goddard et al., 2012), entangled with but categorically distinct from the attention economy (Simon, 1971; 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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Veysel Kılıç (2026) studied this question.
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