AI boom faces compute limits, funding fears

The AI industry is barreling toward an economic wall where the brute-force scaling era meets hard physical and financial limits. If foundation models continue to require exponential compute for linear gains, current business models are unsustainable without perpetual subsidies. Inference costs remain the silent killer for startups building wrappers around frontier models. Power grids and data center capacity are increasingly becoming the actual bottleneck, rather than just capital. The transition from training massive dense models to specialized smaller models and agentic workflows is accelerating out of economic necessity. If the funding bubble bursts before models achieve autonomous economic value, many AI-first startups will face a severe reckoning.