Will President Trump Crash the Stock Market? History Says This Could Come Next.

Brent crude is up 72% year to date amid disruptions around the Strait of Hormuz and Bab al-Mandeb, raising stagflation risks as the Trump administration pursues additional tariffs, including potential duties of up to 100% on major buyers of Russian oil. The Fed raised rates 25bps to 3.75%-4.00%, while the 10-year Treasury yield reached 4.94%, increasing funding costs and valuation pressure for hyperscalers expected to spend more than $1 trillion on AI projects this year. With the S&P 500 CAPE ratio near 41 and AI-related spending accounting for roughly half of index earnings growth, the article warns that richly valued growth stocks could be vulnerable to an inflation- and rates-driven correction.

Analysis

The relevant transmission channel is not headline inflation but the AI capital-cycle hurdle rate. AMZN, MSFT, and META can fund near-term capex internally, yet a sustained rise in real yields raises the return threshold for incremental data-center capacity and makes investors less tolerant of multi-year payback periods. That creates a likely sequencing effect over the next 1-3 quarters: hyperscaler multiples compress first, then 2027 infrastructure orders and NVDA revenue expectations are revised if management teams moderate capex growth.

NVDA is comparatively insulated in the immediate earnings window because backlog, supply commitments, and customer competition support shipment visibility; it is not insulated from a second-order demand reset. The more asymmetric risk sits in the levered or power-constrained parts of the AI ecosystem—data-center developers, GPU-cloud lessors, and electrical equipment names priced for uninterrupted build-outs—where higher financing costs and project delays can simultaneously pressure volume and valuation. A high nominal-growth/inflation regime also favors cash-generative energy producers over long-duration software, provided crude strength reflects durable physical tightness rather than a brief geopolitical risk premium.

Consensus appears too binary: either AI spending persists unchanged or the AI trade collapses. More likely is a rotation within AI from capex beneficiaries toward platforms able to monetize installed compute. MSFT and META have clearer avenues to offset infrastructure spend through enterprise software and advertising pricing, respectively; AMZN faces the greater consolidated-margin sensitivity because retail, logistics, and AWS all absorb higher energy and labor inputs. The thesis is falsified if the 10-year yield falls decisively below 4.5% while hyperscaler capex guidance remains above current consensus, which would restore duration support and extend the infrastructure cycle.

Key Decisions for Investors

• Initiate a 3-6 month pair: long NVDA / short AMZN in equal dollar beta-adjusted size. NVDA retains nearer-term revenue visibility, while AMZN has the weakest margin mix under higher input costs and a higher hurdle rate for AWS expansion; exit if AMZN guides AWS growth acceleration without incremental capex or if the 10-year yield falls below 4.5%.
• Buy 3-month QQQ put spreads, financed selectively with upside calls above current spot, rather than outright index shorts. Target a 7-10% downside window: elevated yields can compress mega-cap duration multiples even absent an earnings recession; risk is a rapid de-escalation in energy markets or a Fed pivot that drives real yields lower.
• Overweight XLE versus XLK for a 1-3 month macro hedge, sized modestly because the energy move is highly sensitive to shipping-route normalization. The pair benefits if input-cost inflation remains persistent and AI valuation multiples derate; take profits if Brent retraces more than 15% from its peak or forward inflation expectations roll over.
• Do not short META or MSFT solely on macro concerns before their next capex updates. Set an alert for capex guidance rising while free-cash-flow conversion weakens: that combination would justify adding 6-12 month downside through put spreads, whereas evidence of AI monetization would invalidate the bearish valuation case.