AI Stocks Tumble as Investors Question Trillion-Dollar Spending Spree

A sharp selloff across the artificial intelligence sector intensified Thursday, as investors grew increasingly skeptical about whether massive capital expenditures by major technology firms are generating a justifiable return. The widespread repricing reflects mounting concern over the high cost of building AI infrastructure and the lack of transparency into the quality of the resulting products.

Sector-Wide Pressure Mounts

Meta Platforms (META) led the decline, with its stock indicated down roughly 10% in premarket trading Thursday, pushing it toward its 52-week low, according to Investing.com data. The negative sentiment spread to other key players in the AI ecosystem, as markets challenge the scale of their spending programs.

The selloff has also had global repercussions. South Korean stocks slumped more than 9% on Thursday as fears over the AI spending cycle hammered the country's critical chip sector. Other companies feeling the pressure included:

• NVIDIA (NVDA): The chipmaker has seen its credit default swaps—a market-based measure of credit risk—rise sharply.
• Palantir (PLTR): The data analytics firm was also indicated down in premarket trading.
• Oracle (ORCL): The company's stock has been under heavy selling pressure amid investor concern about the debt it has taken on to build out its cloud and AI data-center capacity.

From Equity Valuations to Credit Risk

At the heart of the market's anxiety is the immense capital being deployed. Companies have issued billions in corporate bonds to finance land, power agreements, and hardware. This leverage becomes precarious if enterprise AI adoption and revenue generation lag projections, a fear now being reflected in both credit and equity markets.

The rising credit default swaps for NVIDIA and Oracle signal that credit markets are pricing in higher risk. For Oracle, the debt used to aggressively finance its data-center race against hyperscalers is now a point of vulnerability, illustrating a broader pattern where wavering confidence in AI workloads leads to wider credit spreads and compressed stock valuations.

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The Question of AI's End Product

Investors are now asking a more fundamental question: what, exactly, is being built with these trillions in investment? While companies publicly tout advanced AI agents and assistants, the buildout seems focused on the underlying plumbing for massive data ingestion and processing—handling relentless streams of real-world data from location pings, logistics hubs, and surveillance systems.

This dynamic reframes the thesis for companies like Palantir, whose core business has long centered on large-scale institutional data integration. Analysts covering the selloff in Asia have characterized it as a market repricing of AI expectations, with concern that data-collection infrastructure, rather than transformative AI agents, is the actual end product.

NVIDIA Earnings a Critical Test

NVIDIA sits at the epicenter of this debate. According to the source, some analysts have raised concerns about potential "circular financing," where AI companies borrow to buy NVIDIA chips, making the chipmaker's valuation dependent on the very spending it facilitates.

The market is looking to NVIDIA's upcoming Q2 fiscal 2027 earnings report on August 26 for clarity. The release will be a critical stress test of whether data-center revenue growth can sustain the narrative that has supported the sector’s valuation through two years of aggressive capital deployment.