Continuous AI Royalty Tracking and Payment Infrastructure
C6/10May 5, 2026
WhatAn inference-level metering system that tracks when AI model outputs draw on specific copyrighted training data and routes micropayments to rights holders proportionally.
SignalCommenters argue that a one-time settlement misses the ongoing nature of the infringement — every inference call that leverages copyrighted training data is a continuous use, and creators deserve ongoing royalties similar to music streaming payouts.
Why NowCourts are beginning to frame AI copyright not as a one-time event but as ongoing use, and the technical capability to do attribution analysis on model outputs (influence functions, membership inference) is maturing rapidly.
MarketIf AI inference revenue reaches hundreds of billions annually, even a small royalty percentage creates a massive payment flow. No one is building this infrastructure yet. Analogous to what SoundExchange does for digital music performance royalties.
MoatWhoever builds the attribution and metering standard first becomes embedded in the payment flow between AI companies and creators — deeply sticky infrastructure with high switching costs.
Zuckerberg 'Personally Authorized and Encouraged' Meta's Copyright InfringementView discussion ↗ · Article ↗ · 424 pts · May 5, 2026
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