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Analysis-Among AI crowd, some investors position for slower hyperscaler spending growth - Finance news and analysis from Global Banking & Finance Review
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Analysis-Among AI crowd, some investors position for slower hyperscaler spending growth

Published by Global Banking & Finance Review

Posted on July 17, 2026

5 min read

· Last updated: July 17, 2026

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Investors Shift Strategies as Hyperscaler Spending Growth Slows in AI Sector

By Danilo Masoni

Changing Investment Dynamics Amid Slowing AI Infrastructure Growth

MILAN, July 17 (Reuters) - The parabolic rally in AI chipmakers has run into turbulence amid concern about valuations and the sustainability of their bumper revenues, with some investors quietly positioning for a slowdown in the near-trillion dollar spending boom that could provide a boon to the hyperscalers footing the bill.

From Semiconductor Surge to Hyperscaler Focus

For most of the past two years, the opposite trade prevailed: investors piled into semiconductor and infrastructure companies on the assumption that Microsoft, Amazon, Alphabet and Meta would keep accelerating spending on the buildout of data centers.

But that spending now looks set to slow, with UBS estimating hyperscalers' capex will rise 76% this year to $673 billion, but will increase by only 25% next year and just 6% in 2028.

Shifting Portfolio Allocations

Some active managers have already cut their exposure to chip stocks and are adding shares of hyperscalers themselves, which have sharply lagged the rally in chipmakers. They are also buying into software stocks and sectors expected to benefit from AI adoption, such as financials and healthcare.

"Once they stop increasing their capex, it will definitely be a relief for hyperscalers and a negative signal for the semi industry," said Alexis Bossard, global equity portfolio manager at Edmond de Rothschild Asset Management, who has already cut exposure to semiconductor stocks, which he believes have become too expensive relative to expectations.

Market Performance and Crowded Trades

The Philadelphia Semiconductor Index, whose top holdings include Nvidia, Broadcom, Micron, ASML and TSMC, has more than doubled over the past year, even with a near-18% drop from its June peak, compared with an 11% rise in the equal-weighted S&P 500, or an 8% gain in Europe's AI-light STOXX 600.

Bank of America's July fund manager survey found 82% viewed semiconductors as the most crowded trade and none reported being short the sector.

Positioning for a New Phase in AI Investment

The question arises over how to position if AI spending remains strong, but no longer accelerates fast enough to support the expectations embedded across the AI infrastructure trade.

Bossard has increased exposure to Amazon and favours areas such as liquid cooling, cybersecurity and selected software firms. "We have a massive underexposure to semis right now."

LFG+ZEST CIO Alberto Conca has sharply cut positions in memory-chip and equipment makers, while building positions in hyperscalers and healthcare stocks, and has backed that view by buying put options on selected semiconductor names.

Financing and Capital Market Pressures

After funding the initial AI buildout through their own cash, hyperscalers are increasingly turning to external financing, prompting questions over whether capital-market pressures may eventually constrain spending growth.

The corporate debt market has absorbed billions in Big Tech issuance this year and investors have, until recently, lapped it up.

Apollo Chief Economist Torsten Slok notes that cover ratios, a measure of investor demand for the bonds on offer relative to supply, have fallen to below 2 times in July, from nearly 5 times in February.

In June, the Basel-based Bank for International Settlements warned disappointment in returns could trigger a sudden pullback in financing and turn the capex boom into a protracted bust.

"Cash flow is starting to be almost completely drained by capex," Conca said, arguing hyperscalers will become more disciplined on spending growth.

Risks and Opportunities for AI Infrastructure and Beyond

Against that backdrop, Empirical Research highlights a growing mismatch between moderating capex growth and lofty revenue expectations for chipmakers and other suppliers of AI infrastructure, implying that something will have to give.

"Either the capex trajectory of the hyperscalers will be upgraded again, or the revenue growth pencilled in for their suppliers will have to come from elsewhere," it said.

Madeleine Ronner, senior portfolio manager at DWS, expects earnings-season commentary from hyperscalers to remain supportive of further investment.

"The surprise would be if it's not like that," she said, also noting that buy-side forecasts for 2027 spending remain materially above analyst estimates.

DWS has taken some profits in semiconductor stocks after their strong run but remains overweight the sector, and certain funds have added industrial and electrical equipment exposure following the pullback.

Regulatory and Local Opposition Challenges

Growing local opposition to U.S. data centers could also stall spending growth. Empirical estimates about 70% of projects face some degree of pushback.

New York on Tuesday became the first U.S. state to halt construction of large new data centers, imposing a one-year moratorium as concerns grow that the facilities driving the AI boom are raising power costs, straining water supplies and burdening local communities.

Investor Sentiment and Long-Term Outlook

Still, investor appetite for AI infrastructure remains strong. Morningstar data show chip-focused funds attracted record net inflows of $10 billion through May.

Fidelity Investments' Director of Global Macro Jurrien Timmer says demand for compute capacity is robust and recent volatility may prove to be just another shakeout.

Lessons from Past Tech Booms

He compared recent pullbacks to the periodic corrections seen during previous tech booms, noting that leading stocks during the late-1990s internet rally suffered repeated 20-30% declines before resuming their advance.

"The AI story is well known, it's ongoing, the earnings are still supporting the trend," Timmer said.

Diversification and Future Beneficiaries

Even so, he believes investors should diversify, noting that beneficiaries of AI adoption such as financials may increasingly matter alongside beneficiaries of AI construction.

"I want to participate in the boom, but I also want to protect myself in case that boom is overdone," Timmer said.

(Reporting by Danilo Masoni; Editing by Amanda Cooper and Susan Fenton)

Key Takeaways

  • UBS and others warn of an AI “capex taper tantrum” as hyperscaler cash flow lags spending and debt issuance rises (ubs.com)
  • Investor demand for hyperscaler bonds has waned—Apollo notes cover ratios dropped from ~5× in February to below 2× in July (apollo.com)
  • Morgan Stanley sees a rotation from semiconductor stocks toward hyperscaler equities amid signs of near‑term capex discipline (investing.com)

References

Frequently Asked Questions

Why are investors concerned about hyperscaler spending growth?
Investors worry that the rapid capex growth by major hyperscalers is unsustainable, and a slowdown could negatively affect AI infrastructure stocks.
How are investment strategies changing as hyperscaler spending growth slows?
Some investors are reducing exposure to semiconductor stocks and increasing positions in hyperscaler companies, software, healthcare, and financials.
What impact does slower AI capex have on semiconductor stocks?
A slowdown in AI capex may signal weaker future revenue for chipmakers, leading to reduced investor interest and lower stock performance.
What financial risks are associated with current hyperscaler spending?
There are concerns that increased external financing and falling bond market demand could constrain hyperscaler investment growth and cause a market pullback.
Which sectors are expected to benefit as AI adoption continues?
Besides hyperscalers, sectors like software, cybersecurity, financials, and healthcare could benefit from ongoing AI integration and investment.

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