Structural Conditions of "Pay-to-Lose" A Phenomenological Model of Success Index under Paid AI Assistance
Abstract
We propose a phenomenological model describing social success under resource investment, social attention, and ability thresholds. Extending the model to paid AI assistance, we demon- strate that monetary investment does not monotonically improve success. We derive explicit conditions under which paid tools reduce the success index, explaining the structural origin of “pay-to-lose” and so-called “payment poverty.”
Fields of Study & Subjects
Ethics and Social Impacts of AI
Artificial Intelligence Applications
Income
Poverty
and Inequality
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 February 2026
- Document type
- Preprint