Hyperscaler Capex Tops $1.2 Trillion: These Nine Stocks Are Cashing In, BofA Says

The July semiconductor selloff was built around one uncomfortable question: What happens when Big Tech finally slows its artificial-intelligence spending? So far, the opposite is happening.

Bank of America now expects hyperscaler capital expenditures to top $1.2 trillion over the next 12 months, according to semiconductor analyst Vivek Arya.

That is a striking escalation from where the AI investment cycle stood only months ago. “Hyperscale appetite to investing remains strong,” Arya said on Monday.

Earlier this summer, the five largest U.S. hyperscalers were projected to spend roughly $700 billion during calendar 2026.

The implication for semiconductor investors is simple.

The AI infrastructure cycle isn’t merely lasting longer than expected.

Its dollar intensity keeps increasing.

And BofA sees nine Buy-rated semiconductor stocks offering at least 30% upside to its 12-month price objectives.

Big Tech’s Capex Problem Is The Chip Industry’s Opportunity There is a strange redistribution happening inside the AI economy.

For hyperscalers, the infrastructure race is becoming increasingly expensive.

For the companies supplying that infrastructure, those same costs become revenue.

Microsoft’s capital spending rose 63% year over year earlier this year, while free cash flow fell 10%.

Hyperscaler capex had already climbed toward 100% of operating cash flow.

That explains why investors have increasingly questioned the economics of the AI buildout.

Yet the suppliers sit on the other side of that equation.

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Copper Is Flashing An Economic Boom: Industrial Stocks Just Confirmed It Every additional dollar spent on AI factories requires GPUs, custom accelerators, memory, networking equipment and semiconductor manufacturing capacity.

BofA’s latest capex estimate suggests that spending pool is still expanding.

Other Wall Street estimates point in the same direction.

Morgan Stanley recently projected hyperscaler capex at roughly $800 billion in 2026 and $1.2 trillion in 2027, up from around $450 billion estimates a year earlier.

The bottleneck is increasingly becoming supply rather than demand.

That distinction matters.

If hyperscaler spending keeps rising, the semiconductor correction increasingly looks less like the end of the AI cycle and more like a valuation reset inside an expanding investment boom.

9 Semiconductor Stocks With At Least 30% Upside Arya groups the beneficiaries into five buckets: compute, memory, semicaps, power semis and optics.

Stock Aug.

2 Price BofA Price Objective Implied Upside Marvell Technology Inc. (NASDAQ: MRVL ) $187.56 $365 95% Micron Technology Inc. (NASDAQ: MU ) $823.03 $1,550 88% Intel Corp. (NASDAQ: INTC ) $90.20 $160 77% NVIDIA Corp. (NASDAQ: NVDA ) $200.75 $350 74% Credo Technology Group Holding Ltd. (NASDAQ: CRDO ) $206.99 $340 64% KLA Corp. (NASDAQ: KLAC ) $182.82 $260 42% Applied Materials Inc. (NASDAQ: AMAT ) $507.67 $720 42% Broadcom Inc. (NASDAQ: AVGO ) $389.28 $530 36% Advanced Micro Devices Inc. (NASDAQ: AMD ) $476.15 $620 30% Marvell tops the screen with 95% potential upside, followed by Micron at 88%.

But the list stretches across almost every critical layer of the AI infrastructure stack.

Nvidia and AMD provide accelerated compute.

Broadcom and Marvell sit at the intersection of custom silicon and networking.

Credo addresses connectivity.

Micron supplies the memory needed to keep accelerators fed with data.

KLA and Applied Materials sit even further upstream, selling the equipment needed to manufacture increasingly complex chips.

That breadth is important.

The investment case is no longer dependent on one chipmaker capturing AI spending.

It depends on the physical complexity of building AI infrastructure itself.

Scarcity Is Becoming The Investment Thesis The clearest example may be memory.