The Hormuz Shock Is Testing Whether AI Demand Can Outrun Macro Risk

A geopolitical supply shock is becoming a practical test of the “resilient demand” thesis across DDOG, SNOW, RH, WSM, ETH, LZB, LESL and TPX.

The immediate market tell is not a uniform risk-off move. At 12:27 p.m. ET on September 16, DDOG was up 2.1% and SNOW 3.6% from the prior close, while RH was up 3.4%; WSM, LZB and TPX were little changed in the available snapshot. ETH and LESL were weaker or volatile. The quotes are delayed by 15 minutes, and TPX’s feed is stale, so this is a directional snapshot rather than a clean cross-sectional ranking.^[1]

What changed: the energy and shipping channel

Recent reporting describes a sharp deterioration around Gulf energy infrastructure and shipping. Reuters reported on September 16 that oil was slipping after Saudi Arabia offered additional crude via Oman, even as diesel remained near record levels. Other reporting said Saudi export disruption had pushed Brent and U.S. crude futures to their highest closes since May 19, while some physical cargoes moved above $130 a barrel.^[2]

The relevant transmission mechanism is straightforward: fewer safe or predictable maritime routes raise insurance, freight and delivery costs; higher fuel costs feed into logistics and household budgets; and an inflation impulse can make central banks slower to ease. The market does not need a full supply halt for this to matter. A sustained risk premium can be enough to pressure discretionary demand and long-duration valuations.

That is why the story is more specific than “geopolitics equals risk-off.” It is a test of which businesses sell mission-critical digital capacity and which depend on consumers feeling comfortable making large, deferrable purchases.

The software evidence is still strong—but not unconditional

Datadog’s latest available Q2 FY2026 call, held August 6, offered unusually broad evidence of demand. Management said revenue rose 36% year over year to $1.12 billion, non-AI customer growth accelerated to the high 20s, and the company ended the quarter with about 33,400 customers. It also described 750 AI customers and said enterprise new-logo annualized bookings more than doubled from a year earlier.^[3]

Snowflake’s Q2 FY2027 call on September 2 pointed in the same direction. Product revenue growth reached 37% year over year for the third consecutive quarter of acceleration; net-new customer additions rose 32%; and management said AI was bringing new workloads onto the platform while lifting overall consumption.^[4]

These are not merely narratives about future adoption. Both companies describe usage, customer additions and expansion in production environments. That makes the AI-demand argument more durable than a theme supported only by product announcements. But it does not make the companies immune to macro risk: enterprise customers can optimize cloud consumption, defer projects or demand better pricing if budgets tighten.

Datadog has explicitly acknowledged that customers remain cost-conscious and may optimize observability usage at renewal. Snowflake’s consumption model also creates a two-sided exposure: more AI workloads can accelerate revenue, but customers may scrutinize usage costs as agents and applications proliferate. The evidence supports resilience, not invulnerability.^[3][4]

Why the home-furnishings names are the harder test

RH, WSM, LZB, LESL and TPX are more exposed to the consumer and housing channel than DDOG or SNOW. Their demand can be affected by fuel costs, freight, housing turnover, mortgage rates, confidence and the willingness to make discretionary purchases. A higher oil-and-shipping risk premium therefore matters even if it never becomes a broad recession.

The current quote snapshot does not show a synchronized collapse in these names: RH was higher, WSM and LZB were nearly flat, and TPX’s available quote was not current enough to use for an intraday conclusion.^[1] That is useful but limited evidence. Price resilience on one session cannot establish that demand will hold over the next year.

The more important question is whether companies can protect gross margins while preserving volume. Freight and fuel inflation can arrive before retailers can reprice. At the same time, weaker housing activity can reduce the number of customers willing to commit to furniture, mattresses or remodel-related purchases. In this group, “resilient demand” must show up in traffic, order growth, cancellations, inventory discipline and margin—not just a stable share price.

The thesis: partly supported, with a widening gap between sectors

The stated hypothesis—that earnings growth and resilient demand can support the full scope over the next year—has credible support in the two software names. DDOG and SNOW are reporting accelerating usage and AI-linked workloads in their most recent available calls, while their September 16 quote snapshots were positive.^[3][4][1]

The evidence is weaker and more macro-sensitive for the home-furnishings cohort. The Gulf shock raises the cost of being wrong about inflation, freight and rates. ETH adds another layer of sensitivity because its price can respond to liquidity and risk appetite as well as company-specific earnings; the available snapshot showed it down about 1.0% from the prior close.^[1]

The base-rate interpretation is therefore mixed: secular enterprise software demand may continue through a geopolitical shock, but consumer discretionary demand and long-duration valuation multiples have less room for a persistent energy-driven inflation surprise.

What to watch next

1. Physical energy and shipping normalization. Watch whether Gulf exports and Strait of Hormuz transits recover, or whether elevated insurance and tanker rates persist. A temporary headline shock is different from a sustained logistics regime.
2. Central-bank reaction. The key macro question is whether energy passes through to inflation expectations and delays rate relief. That would be a larger problem for discretionary spending and valuation multiples than for near-term software usage.
3. DDOG and SNOW consumption quality. Look for continued expansion outside AI-native customers, stable retention, production workloads and evidence that AI usage is incremental rather than merely shifting budgets.
4. Retail operating data. For RH, WSM, LZB, LESL and TPX, track traffic, orders, cancellations, promotional intensity, freight costs and gross margin. The stock tape is a lagging and noisy signal.
5. ETH liquidity sensitivity. Separate crypto-specific adoption or regulatory catalysts from the broader effect of real yields, dollar conditions and risk appetite.

The cleanest conclusion is not that the geopolitical shock invalidates the growth thesis. It is that the shock is forcing the thesis to split: mission-critical software demand currently has stronger evidence behind it, while consumer-facing names need the energy and rates channel to stop worsening before “resilience” becomes a durable operating fact.

This article is for research and education, not financial advice. The market data cited above came from a delayed intraday snapshot; TPX’s available quote was stale at the time of retrieval.