The AI trade isn’t broken — it’s rotating from chip scarcity to infrastructure spend
Broadcom’s stumble looks less like the end of the AI trade than a handoff inside it. The market is starting to reward the next bottlenecks — servers, networking, cooling, and power — as AI capex broadens beyond the most crowded chip winners.
The clean read on this week’s tape is that the AI trade is changing leaders, not falling apart. Broadcom’s post-earnings selloff gave bubble skeptics an easy headline, but the more important signal was the split beneath it: semis cracked while infrastructure names kept attracting capital. That is what rotation looks like when a theme matures. Once chip scarcity stops being the only story, investors naturally start paying up for the companies that have to house, connect, cool, and power the next wave of AI capacity.
The sharpest evidence is the market’s own verdict. On June 5, chip stocks shed more than $1 trillion in market value in a single session, with the semiconductor index down almost 8.5%. If that were a true collapse in the AI thesis, the damage should have spread evenly across the stack. Instead, the same stretch of trading featured a nearly 40% surge in DELL after its AI server update and a 19.5% jump in HPE after it pulled forward long-term targets. That is not investors abandoning AI. That is investors repricing where the next dollar of AI spending is likely to land.
And the next dollar is increasingly an infrastructure dollar. Consensus and company commentary now point to AI buildout spending expanding from roughly $400 billion in 2025 to more than $700 billion in 2026. That matters because a capex wave of that size cannot stay concentrated in accelerators forever. It has to spill into racks, networking, thermal management, and power systems. HPE’s own guidance revision is the clearest example of the shift from concept to orders: it raised fiscal 2026 revenue growth guidance to 29% to 33% from 17% to 22%, while lifting its networking growth outlook to 72% to 75%. That is not a sympathy trade. That is visible demand moving downstream.
Valuation also helps explain why leadership is rotating. The market has spent two years crowding into the obvious AI winners, and crowded winners become fragile when earnings are merely good instead of perfect. Public market data put NVDA at a forward P/E of 43.36 and AVGO at 56.13 as of June 6. Those are not irrational multiples given the growth on offer, but they do leave less room for execution slippage or for a quarter that does not reset expectations higher. By contrast, the infrastructure cohort is being rerated off operating inflection and backlog visibility. That is a healthier setup than paying ever more for the same scarcity narrative.
A few comparisons make the point more clearly:
AVGO: shares fell roughly 12% premarket after earnings, a reminder that crowded semiconductor leadership now needs near-flawless results.
HPE: fiscal 2026 revenue growth guidance moved to 29% to 33% from 17% to 22%, with networking seen growing 72% to 75%.
DELL: said AI server revenue is expected to double in fiscal 2027, helping drive a nearly 40% stock jump on the update.
NVDA: still commands a 43.36 forward P/E, rich enough that the debate is shifting from scarcity premium to where incremental capex flows next.
Yes, bulls of the chip complex can fairly argue that this was partly just a crowded-trade unwind. Broadcom management has said it remains comfortable with supply into 2026 and 2027, and Nvidia has indicated capacity is sufficient to support robust AI growth. But that counterpoint actually reinforces the rotation case. If supply constraints at the chip layer are easing, then the bottleneck does not disappear — it moves. The pressure shifts to who can assemble servers, expand networking throughput, and keep denser AI clusters powered and cooled.
That is why names like ANET, VRT, HPE, and DELL deserve to be discussed as second-leg AI exposure rather than leftovers from the first leg. ANET is not cheap at 58.31 times earnings, but its role in high-speed data center networking is exactly the kind of exposure investors reach for when compute demand broadens into cluster architecture. VRT looks even more expensive at 83.68 times earnings, yet its 89.7% YTD gain tells you the market is paying for a very specific scarcity: thermal and power infrastructure that becomes mission-critical as AI density rises. We would not call those easy stocks here, but we would call them evidence that the market is no longer treating AI as synonymous with GPUs.
The more speculative corners of the infrastructure trade also show why this is a rotation, not a simple rerun of the chip rally. SMCI trades at just 16.14 times earnings and only 0.55 times sales, with revenue growth of 46.6%, but its thin 3.7% net margin and financing needs make it a much messier way to play AI buildout. That contrast matters. The second leg of the AI trade is not one clean basket; it is a sorting process inside infrastructure itself, where investors are distinguishing between durable system-level beneficiaries and lower-margin assemblers that still carry execution risk. The tape is getting more selective, not less thematic.
The mistake after Broadcom’s wobble is to ask whether AI is over. The better question is where the returns migrate once the first bottleneck starts to normalize. Right now, the evidence says the market is rotating from chip scarcity toward the physical buildout required to deploy AI at scale.
What we would watch from here is simple: whether enterprise and hyperscale capex keeps translating into stronger server, networking, cooling, and power guidance, not just chip demand headlines. If that broadening stalls, the rotation thesis weakens. But if infrastructure companies keep posting the kind of target resets HPE and Dell just delivered, then the AI trade is not broken at all — it is just moving to the next layer of the stack.
Our take, not advice. This is opinion commentary — informational only, not personalized investment recommendations. Markets carry risk. Do your own research and consider your own situation before any trade.
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