Source: The Register: Biting the hand that feeds
As cloud AI inference costs mount, consumer-grade laptops running open-source language models are becoming viable for routine tasks—not as cost-cutting alone but as a technical reality that sidesteps the infrastructure arms race. This fragments the market away from centralized API providers like OpenAI and Anthropic, forcing those companies to compete on capability and safety rather than compute monopoly, while shifting the burden of model management and hardware investment to users. Local models only work at scale because open-source alternatives have closed the quality gap enough for non-specialized use cases. The shift away from centralized dominance is already underway.