According to JPMorgan Chase research released Wednesday, July 1, the valuation divergence between AI semiconductor manufacturers and major cloud service providers has reached unsustainable levels. Semiconductor stocks surged 87% this year while memory ETFs climbed 141% since April, but Magnificent Seven tech stocks fell 7% from their year-high, pressuring capital-intensive companies like Meta and Microsoft.
JPMorgan noted the divergence reflects a critical shift: future AI returns depend less on capital expenditure levels and more on commercialization effectiveness. The firm predicts combined capex by Amazon, Microsoft, Google, Meta, and Oracle will reach $758.1 billion in 2026 and $925 billion in 2027. As cloud providers face margin compression and rising financing costs, JPMorgan identified two scenarios—either cloud companies improve AI service monetization through token pricing and compute rentals, or margin pressure forces capex cuts, triggering a negative cycle for chip demand. The key metrics to watch are AI compute rental prices and large language model token pricing, which will determine whether the industry enters a virtuous or vicious cycle.