US tech stocks tumble as investors fret over AI spending

The Nasdaq Composite fell 2.6% on Thursday, its steepest drop since June 5, while the S&P 500 declined 1.21%, as investors questioned the sustainability of AI spending. Meta slid nearly 7% after raising its 2025 capital-spending forecast to $135B–$145B and reporting net profit below expectations; most other Magnificent 7 stocks and several chipmakers also fell. Higher oil prices linked to the US-Israel war on Iran added to risk aversion, with Brent rising 4% Thursday and moving above $114.20 a barrel. Gartner forecasts global AI investment of $2.7T in 2026 and $3.6T in 2027.

Analysis

The key transmission is not “AI demand is over”; it is a rising hurdle rate for proving that incremental compute spend earns an adequate return. If investors start discounting payback rather than headline capex, the most exposed names are the suppliers whose near-term growth depends on continued hyperscaler orders (including NVDA, AMD and AVGO). A pause in orders could hit those stocks before it materially changes end-user AI adoption. Conversely, capex cuts would support buyers’ free cash flow while pressuring the supplier ecosystem; the effect is not uniformly bearish across tech.

Oil adds a separate valuation channel: sustained energy inflation can lift inflation expectations and yields, compressing long-duration growth multiples even without weaker earnings. That makes the sell-off vulnerable to further de-risking, but also means an oil reversal could produce a sharp relief rally. The next 1–3 months should be judged by capex guidance and evidence of monetization, not the size of one down day; 6–18 months is the horizon for assessing whether AI returns justify infrastructure buildout. AAPL’s relative resilience is not, by itself, evidence of durable outperformance. The contrarian risk is that positioning and sentiment have moved faster than fundamentals, so broad shorts may be poorly timed. De-escalation and lower crude, or continued strong AI-related revenue alongside spending, would challenge the bearish setup.

Key Decisions for Investors

• Use a defined-risk 1–3 month QQQ put spread as a tactical hedge only if weakness persists alongside crude remaining elevated; size for premium loss. Reduce or close the hedge if oil retreats and major cloud companies maintain capex plans while demonstrating monetization.
• For a relative-value watch, consider short SOXX versus long QQQ if subsequent guidance or disclosures show semiconductor demand slowing while cloud/platform earnings remain resilient. This is not a clean hedge; falsify it on firm supplier order commentary or evidence that AI revenue is accelerating enough to sustain spending.
• Avoid chasing the first sell-off in NVDA, AMD or AVGO. Reassess after the next round of hyperscaler guidance and earnings: a capex slowdown is the downside trigger, while stable investment plus improving returns on AI infrastructure weakens the short thesis.
• Track crude and Treasury yields alongside earnings revisions. If oil falls materially and yield pressure eases, sentiment-driven multiple compression may reverse even before the longer-term AI return debate is settled.