Source: The Register
The Register's analysis exposes a structural problem in how AI companies manage computational resources: as models hit their stated token limits, vendors increase quotas rather than optimize efficiency, creating a cycle of artificial scarcity followed by artificial abundance. This mirrors past infrastructure booms—cloud capacity, bandwidth—where constraints proved temporary. But AI's case differs because token limits directly monetize usage, giving companies incentives to inflate allowances and lock in consumption patterns. The creative community, already fragile around AI training and compensation, faces a compounding risk: expanding quotas will normalize scraping practices and undercut arguments for usage-based artist payments.