Obsolescence without hostility: optimization, uniformity, and the erosion of human meaning in a post-AI world

Abstract

Most contemporary discussions of artificial intelligence focus on misalignment, loss of control, or catastrophic harm. This paper examines a different and comparatively neglected possibility: that advanced AI may erode the social conditions under which human meaning has historically been generated, without conflict, coercion, or displacement. The central question is not whether AI dominates humanity, but whether human participation remains causally significant once AI systems outperform humans across core instrumental domains.

The argument is conditional and long-horizon in scope. It proceeds from the observation that existing limits on AI superiority are primarily technological and economic rather than principled. If these constraints are progressively overcome, and AI systems come to outperform humans in production, coordination, governance, and creative problem-solving while no longer requiring human involvement, then human action ceases to be causally load-bearing in shaping collective outcomes.

Historically, human meaning has been structurally aligned with necessity: scarcity compelled participation, participation generated social roles, and roles anchored recognition and purpose. Meaning emerged relationally through involvement in underdetermined futures, rather than through internal choice alone. When advanced AI removes the necessity of human causal contribution, these foundations weaken. Internalist and existentialist accounts that locate meaning in self-authorship fail to scale under such conditions, as meaning depends on external differentiation and real outcome contingency.

The paper identifies optimization-induced uniformity as the central mechanism driving this process. Advanced optimization produces convergence through selection rather than imposition, dissolving functional differences without violence or failure. The paper concludes that human obsolescence is a rationally plausible long-horizon equilibrium under these conditions, introducing “extinction by success” as a distinct category of AI-related risk grounded in structural irrelevance rather than hostility.

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Authors and Affiliations

• Lovely Professional University, Phagwara, India

Bvaibhav Ankit Mishra

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• Bvaibhav Ankit Mishra

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B.A.M. conceived the study, developed the conceptual framework, conducted the literature review and philosophical analysis, wrote the manuscript, and approved the final version.

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Correspondence to Bvaibhav Ankit Mishra.

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The author used a large language model to assist with language refinement and structural clarity during manuscript preparation. The model did not generate original arguments or scholarly claims. All arguments, interpretations, conceptual frameworks, and judgments are the author’s own.

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Ankit Mishra, B. Obsolescence without hostility: optimization, uniformity, and the erosion of human meaning in a post-AI world. AI & Soc (2026). https://doi.org/10.1007/s00146-026-02995-x

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• Received: 30 December 2025
• Accepted: 16 March 2026
• Published: 31 March 2026
• Version of record: 31 March 2026
• DOI: https://doi.org/10.1007/s00146-026-02995-x

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