The relay market powering token resellers and fraud

Most of the useful reaction was that none of this is uniquely about AI. People who worked on ads, billing abuse, and other online marketplaces said this is the same playbook internet companies have fought for years. If you underprice a scarce resource, fraudsters and gray-market resellers will route around your intended customer. That framing pushed the conversation away from novelty and toward business mechanics. Flat-rate AI subscriptions look especially exposed because inference has real marginal cost, unlike software businesses where unlimited plans mostly ride on fixed costs. Several commenters also pointed to cloud startup credits as an obvious adjacent leak. The author confirmed there are broker networks buying unused AWS and Azure credits from startups and reselling the compute behind them. Where the conversation sharpened was on enforcement. People broadly agreed that stolen cards and chargeback abuse are plain fraud. Repeated free-trial farming sat in a fuzzier bucket. Straight resale of a paid subscription split people less on legality than on pricing design. The practical point was that providers created a resale incentive by offering plans whose expected usage assumes a normal human sleep cycle, then watching operators aggregate many accounts behind relays and squeeze every quota window. A few practitioners said device fingerprinting is not enough for this market. The more credible detection ideas were usage-pattern clustering, account vetting, prepaid or low-chargeback payment methods, and canary tokens or canary values embedded in traffic to catch relay operators in the act. There was also a recurring warning that buyers of these proxy services are taking real product and privacy risk. The operator can silently downgrade models, inspect prompts, and store traces, and users often have no reliable way to verify what model they actually got.