Nasdaq’s 5.5% Rout Exposes AI’s Concentration Risk

By Grace Kim

TradingView reported that the Nasdaq Composite Index plunged 5.5% last week, as Nvidia lost 9.3% and AMD fell 17.3%.

TradingView said the selloff spread overseas the next day, with Japan’s Nikkei 225 and South Korea’s Kospi both down around 6%. Investors moved into government bonds as concerns about AI spending triggered a broader retreat from risk.

TradingView said the move showed how deeply AI now sits inside global markets. It described AI as a theme that has overtaken all others, pushed technology stocks to record valuations and left investors with no simple way to exit. The contradiction was severe: the same theme powering the market had become its clearest concentration risk.

What does the selloff reveal about diversification?

TradingView illustrated the problem with a portfolio holding an S&P 500 ETF, Nvidia shares, a global technology fund and Asian semiconductor stocks. The four positions looked diversified, but all four relied heavily on continued AI spending.

TradingView defined the danger this way: “This is concentration risk: having too much exposure to one source of potential losses, even when investments are spread across different companies, funds or countries.”

TradingView also pointed to the weight of Nvidia, Microsoft, Alphabet and other technology giants in U.S. indices. Taiwan manufactures advanced chips, South Korea supplies memory, and companies in Europe and Japan produce essential semiconductor equipment.

A change in expectations for AI investment can therefore pressure businesses across the same supply chain at once, TradingView said. Spreading money across different tickers does not remove the common AI-spending exposure.

The takeaway: diversification by fund or geography can still leave investors concentrated in one growth engine.

How does borrowing turn AI growth into a risk?

TradingView said much of the infrastructure expansion relies on borrowed money, leaving companies vulnerable to delays. CoreWeave, the Nvidia-backed cloud provider, has accumulated approximately $50 billion in debt while expanding its computing capacity.

The company reported a $104.2 billion revenue backlog in the second quarter. TradingView stressed that the figure represents contracted future business, not cash available today.

Higher borrowing costs can make each expansion project more expensive. If construction slows while companies keep paying interest, TradingView said, they may struggle to generate enough cash to meet their obligations.

It then mapped a chain reaction: expensive financing delays data centers; delayed data centers reduce equipment orders; weaker growth expectations make investors less willing to finance further expansion.

Chipmakers face a related exposure. TradingView said Nvidia depends less on borrowing than heavily indebted infrastructure operators, but its revenue growth depends partly on those customers continuing to purchase its products.

The takeaway: financing pressure can travel from data-center operators to the chip suppliers that depend on their orders.

Why can one AI shock move global markets?

TradingView’s cross-market mechanism starts when investors reduce exposure to a dominant theme. Funds then raise cash, reduce leverage or rebalance positions, and those sales can reach stocks with little direct connection to AI.

Government bonds may attract buyers seeking safer assets. Currencies can react as risk appetite changes. Commodities such as copper can move with expectations for infrastructure investment.

TradingView said these assets have their own drivers, but AI’s scale allows one sentiment shift to affect several asset classes at once. That dynamic matters for investors who assume that owning different asset types guarantees protection.

The takeaway: one AI shock can move assets that look unrelated on a chart.

What should investors test before buying the dip?

TradingView said: “AI demand remains strong, and the novel technology could deliver substantial economic benefits. But that doesn't guarantee every company involved will generate attractive returns.”

The gap between sector demand and stock returns showed up in two drawdowns. TradingView described CoreWeave as an AI neocloud providing computing infrastructure for the boom, yet its stock was nearly 80% below its record. Nvidia’s stock traded 25% below its record.

TradingView said investors need to assess:

• How much future growth stock prices already reflect;
• Whether companies can finance their expansion; and
• How quickly infrastructure investments can generate cash.

The analysis identified two vulnerabilities: excessive capital concentration in one favored theme, and reliance on expensive, debt-financed infrastructure to deliver expected growth. TradingView left readers to weigh a long-term market reshuffle against a buying opportunity.

TradingView’s chain reaction makes financing costs, data-center construction and investor demand the next tests; if they diverge, the concentration behind last week’s selloff could magnify the next one.