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AI Stocks

Investors Rotate Away From Nvidia — Where the AI Money Is Headed Next

After Nvidia’s stratospheric run, traders are trimming positions and hunting mid-cap AI chip and software plays that could outperform the next leg of the cycle.

P
Pedro Marini
May 25, 2026 · 3 min read
Investors Rotate Away From Nvidia — Where the AI Money Is Headed Next

Illustration by IMF Alpha editorial · Reviewed by Pedro Marini

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NVDA-4.00%AMD+3.00%MRVL+5.00%SMCI+6.00%PLTR+2.00%

Nvidia’s dominance is real — and that’s exactly why some investors are looking elsewhere.

For years the simplest way to play AI was to pile into Nvidia (and ETFs that tracked it). It paid off. But when one name starts to account for a massive share of sector gains, people take profits and rebalance. The curious question isn’t just that money leaves Nvidia; it’s where it goes next.

Why money is rotating now

  • Valuation pressure. Nvidia trades at multiples you rarely see outside of generational winners. That pushes investors to seek cheaper ways to get AI exposure without the jumbo price tag.
  • A supply-chain rethink. After the pandemic’s chip scramble, datacenter buyers want options. Firms that provide complementary silicon, high-speed networking, or server platforms can grow alongside Nvidia rather than replace it.
  • Inference moving off racks. Not every AI workload needs a half-million-dollar GPU cluster. Edge inference — think retail sensors, industrial IoT, telco use cases — favors smaller accelerators and mixed-signal chips.
  • Software is starting to pay. As generative features get folded into products, companies that package models, observability, or fine-tuning as repeatable services can expand margins faster than raw-hardware vendors.

What’s interesting is how these pressures point away from a single winner and toward an ecosystem: accelerators, interconnects, servers, and software.

Names getting attention

  • AMD: pushing the GPU story while keeping CPU diversification.
  • Marvell: networking and storage silicon that benefits from datacenter refreshes.
  • Super Micro (SMCI): server platforms and integration that sit between GPUs and customers.
  • Palantir: an AI-first software shop selling custom models and data tooling to governments and enterprises.

This isn’t a shopping list of automatic buys. It’s a snapshot of where capital flows when investors want AI exposure without paying Nvidia-like multiples.

A brief historical echo: in the PC era Intel dominated the narrative, but AMD and a host of board-level suppliers carved durable niches. We’re seeing a similar pattern now — one dominant supplier plus a constellation of specialists.

But there are real risks

  • If Nvidia keeps extending its tech lead, smaller players may never grab meaningful share.
  • A broad market sell-off tends to hit high-beta midcaps harder than the mega-cap that started the rally.
  • Execution risk is real: many smaller chip firms still need design wins and steady revenue to justify their valuations.

How traders and longer-term investors might position

  • Traders: consider relative plays — options, or pair trades that sell some Nvidia exposure while buying a basket of midcaps — to capture shifts in sentiment.
  • Longer-term investors: focus on companies with durable revenue, diversified customers, and sensible valuations. Don’t buy a name just because it mentions generative AI in its slide deck.

What this means for the next phase

Nvidia is still the center of gravity. But the next leg of returns may come from mid-cap suppliers, server integrators, and software firms that convert model performance into predictable revenue. Expect more rotation; don’t bank on a winner-take-all outcome.

Pedro Marini — quick takes from the intersection of silicon, software, and money.

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