Source: Search Engine Journal
Google's experimental model of compensating publishers for content used in AI training is creating a two-tier system where payouts vary dramatically—some sites receiving less than 0.1% of their ad revenue—while participating publishers struggle to understand the mechanics behind their compensation. Google maintains structural information asymmetry in new revenue arrangements, setting terms of engagement without transparent benchmarking across the publisher ecosystem. If AI training compensation becomes the industry norm, publishers will have already accepted opaque, ad-hoc payment structures that discourage collective negotiation or competitive alternatives.