Source: Techmeme
The speed at which Claude has become compute-constrained signals that AI adoption is outpacing infrastructure scaling in ways that will force a painful reckoning: either frontier AI labs accept margin-crushing pricing models, implement aggressive tiering that fragments the user base, or watch quality degrade—there’s no easy path that preserves both accessibility and profit. This is the first visible crack in the premise that scale economics will democratize AI, revealing instead that talent and chips remain the ultimate bottleneck, not software.