Human-Provenance Verification should be Treated as Labor Infrastructure in AI-Saturated Markets

In a new arXiv paper, Erin McGurk and David Khachaturov argue that AI-saturated markets are creating Veblen-good premiums for verified human presence, which they term 'human-provenance premiums.' As generative and agentic AI lower the cost of standardized cognitive, creative, and coordination tasks, the scarcity premiums that supported middle-tier knowledge work are eroding. The authors predict a barbell-shaped structure: high-volume synthetic production owned by AI infrastructure providers at one pole, and scarce, high-status human labor valued for its verified human character at the other. They define three forms of 'performative humanity' — relational presence (empathy, care), aesthetic provenance (curation, taste), and accountability (legal, ethical responsibility) — that will command premium pricing when credibly verified.

To evaluate hybrid human-AI work, the paper proposes 'constitutive human presence' as the relevant standard: human labor retains premium value only when human judgment, attention, accountability, authorship, or relational participation is not incidental but constitutive of what is purchased. The authors argue that human-provenance verification systems should be treated as labor infrastructure rather than luxury authenticity labels, meaning they require public investment, standardization, and governance similar to physical infrastructure. This reframing has profound implications for labor markets, AI policy, and the future value of high-touch, human-authenticated services in an increasingly automated economy.