AI Rotation Watch: As Chips Wobble, Can Cloud Software Quietly Take the Lead?

Written byMarket Radar
Thursday, Sep 4, 2025 10:45 am ET2min read
Aime RobotAime Summary

- AI semiconductors wobble as Nvidia drops below 50-day average, signaling technical fatigue after 18-month rally.

- Cloud software firms like Snowflake, Pure Storage, and Datadog show strong AI-driven growth, reasserting software's relevance.

- ETFs like CLOU and SKYY target cloud/data-layer AI demand, while JTEK balances chip and software exposure.

- Market shifts toward monetizing AI features in software suites, with ETFs positioned to benefit from usage-based growth.

After a soft start to September and a choppy August finish, the AI complex looks shakier—especially on the semiconductor side.

slipped below its 50-day moving average on Tuesday for the first time since May, a psychological blow for the market’s AI bellwether. Semis have carried the AI story for 18 months; now the group’s technicals are tired. Traders are watching the VanEck Semiconductor ETF (SMH) for a potential head-and-shoulders breakdown while Nvidia and peers battle to reclaim trend support—classic late-stage behavior after a monster run.

Where the baton might pass: “boring” software

Under the surface, software is reasserting itself—helped by better-than-feared earnings and tangible AI adoption inside the apps and data stack: Datadog (DDOG) raised guidance and detailed continued AI-driven observability traction. Autodesk (ADSK) delivered double-digit revenue growth and upbeat outlook as it ships AI features across design workflows. Pure Storage (PSTG) posted strong results as AI training/inference drives flash demand. Snowflake (SNOW) continues to lean into AI data pipelines, touting robust customer-spend metrics.

Even the broader narrative is shifting: the “death of software” call is getting walked back as big platforms blend AI into their own models and products, stabilizing margins and growth.

ETF tie-ins if software leads the next leg

Global X Cloud Computing ETF (CLOU) A pure play on cloud-first software and platforms. CLOU owns names across SaaS/PaaS/IaaS, including top weights like Snowflake and Shopify—a direct way to express a rotation toward application- and data-layer beneficiaries. Expense ratio: 0.68%. (Top holdings as of Sep 3, 2025.)

First Trust Cloud Computing ETF (SKYY) Long-running cloud basket spanning software, IT services, and storage. Current weights highlight the pivot: Arista Networks (cloud networking), Pure Storage, MongoDB, and Oracle sit near the top, with Datadog and Snowflake also included—useful exposure to both infra and app-layer AI demand. (Holdings as of Sep 3, 2025; ER 0.60%.)

JPMorgan U.S. Tech Leaders ETF (JTEK) An active approach that blends semis and software. Top positions include Nvidia, Snowflake, Oracle, ServiceNow, Broadcom, and TSMC—so you keep a stake in the silicon story while tilting toward enterprise software winners. (Top 10 as of Jul 31, 2025.)

How to think about positioning

If chips stabilize: JTEK’s mix lets you participate in a rebound while staying tied to software execution stories.

If the handoff to software continues: CLOU and SKYY are cleaner expressions of usage-based cloud apps, data platforms, and the storage/networking layer that AI workloads actually consume.

Catalysts to watch: chip leaders reclaiming their 50-DMA; guidance updates from cloud/data names; and evidence that AI features are monetizing inside software suites (seat expansion, AI-SKU attach, net revenue retention).

Bottom line

The AI trade isn’t dying; it’s broadening. With semis wobbling, fundamental and technical momentum is creeping back into software—especially cloud apps, data platforms, and storage. CLOU and SKYY offer targeted exposure to that theme, while JTEK provides an active, balanced bridge between chips and software. If the market’s next AI leg is less about building the data center and more about using it, these funds are positioned to benefit.

Quickly compare CLOU, SKYY, JTEK with our

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