Paying People for Being Human: A Biosignal-Verified Token Economy for Human Cognitive Labor in the Age of AI
Keywords:
human presence token, biosignal authentication, CPAS, token economy, human-AI wage gap, physiological liveness, proof of humanity, digital labor markets, coherence multiplier, smart contract compensationAbstract
AI systems can now perform a growing share of digital knowledge work at a fraction of the cost of human labor. This creates two intertwined problems. First, it becomes increasingly difficult to verify that a piece of work was actually done by a human being rather than an AI agent -- a distinction that matters for quality assurance, regulatory compliance, creative attribution, and basic economic fairness. Second, when human work does occur, existing compensation systems have no principled way to price it relative to AI output, nor to reward the irreducibly human qualities -- judgment, ethical reasoning, embodied experience, and genuine attention -- that AI cannot authentically supply. This paper proposes the Human Presence Token (HPT) framework, a compensation system that uses biosignal-verified proof of human presence -- derived from the Conscious Presence Authentication System (CPAS) -- to issue cryptographic tokens representing verified units of human cognitive effort. Token accrual is governed by a formula that combines a base rate, a physiological coherence multiplier drawn directly from the CPAS coherence score, a credentialed skill premium, an output quality score benchmarked against AI output as a quality floor and verified task-active time. Tokens are redeemable for US dollars at a daily treasury-set exchange rate with a guaranteed floor. The system makes human labor legible as a distinct and compensable asset class, creates a transparent market price for human cognitive work relative to AI, and provides workers with portable, tamper-proof records of their verified contribution. We specify the token economics, the governance parameters, the technical architecture linking CPAS authentication to on-chain token settlement, and the adversarial threat model. We show through worked examples that the framework produces dollar-per-hour wages ranging from $3.00 for unskilled verified-human work to over $475 per hour for top-tier expert work -- all grounded in measurable physiological verification rather than self-report or behavioral proxies.
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Copyright (c) 2026 Sameer Halbe
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