The AI bubble is showing cracks, with catalysts for a crash laid bare. Magnificent 7 tech giants are ramping up capex to differentiate their AI, but spending itself isn't the win. Google's strategy of measured spending and waiting for competitors to capitulate could prove decisive. Meanwhile, OpenAI and Anthropic face existential threats: energy costs soar, Gulf funding dries up, and RAM prices crash after overbuying. Anthropic races to cut costs and raise revenue, while OpenAI struggles to monetize ChatGPT, even considering ads. Microsoft's heavy OpenAI investment risks its growth story if the lab fails.

Google stands uniquely positioned. Its vast resources allow it to outspend rivals without immediate pressure, potentially forcing competitors to capitulate. This could shrink projected capex, a positive for investors wary of tech's spending spree. Apple's wait-and-buy strategy and Amazon's Anthropic bet offer contrasting approaches, but all face pressure from slowing VC funding and shrinking AI lab budgets. The market's shift threatens Nvidia's dominance as datacenter demand wanes.

The broader impact is severe: write-offs could cripple public companies, reduce M&A, and dry up VC money, echoing 2022's downturn. Pension funds and datacenter builders face losses. While demand might offset some issues, the boom-bust cycle seems inevitable. The stakes are high for investors, tech workers, and anyone relying on AI's promised productivity gains.