AI Labs Raised $24B in Two Quarters With No Products or Revenue

The venture capital market has decoupled from traditional commercialization metrics, flooding AI infrastructure and research plays with capital that dwarfs what foundational model companies raised pre-deployment. Two dynamics collide here: genuine supply-side belief that compute and talent are the only scarce resources that matter, and speculative FOMO that treats AI as a category bet rather than a business bet. The result is unsustainable valuations for entities with no clear path to revenue capture. The gap between this capital velocity and actual product-market fit in AI applications will expose which labs have defensible moats and which are simply well-funded research projects.