Goldman Sachs flagged that stocks with heavy capital deployment — infrastructure, data center, and enabler plays — are outperforming as the four largest AI spenders (AMZN, ORCL, MSFT, META) collectively ramp toward a $1.5 trillion cumulative AI capex cycle. MSFT is already posting 68.8% gross margins and 36.1% net margins with 14.9% revenue growth, ORCL shows 22% net margins with accelerating cloud backlog, and AMZN carries a leaner 10.8% net margin profile as it front-loads AWS infrastructure build.

The core tension is whether AI capex spend by hyperscalers is value-accretive (revenue growth compounds faster than capex burn) or value-dilutive (free cash flow gets structurally pressured). The next leg of the trade hinges on upcoming earnings prints — specifically AWS and Azure segment disclosures — and whether AI-driven revenue growth is outpacing the spending ramp. Stocks like ORCL, with a high-margin profile and growing cloud RPO, may offer a different risk/reward than the pure hyperscalers absorbing the bulk of the capex.