Nasdaq Correction Puts AI Buildout on Capital Watch

The Nasdaq entered correction territory last week as U.S. stocks sold off sharply following a brief post-midterm rally, with concern over the AI buildout intensifying during BlackRock’s internal 2027 Forum.

The forum brought U.S. midterms, AI adoption and competition for capital into the same debate among portfolio managers. The scale of AI investment no longer explained the market debate on its own.

Boivin, head of economic and markets research at the BlackRock Investment Institute, put the shift plainly: “We held our Forum as the U.S. midterms unfolded and markets increasingly priced in a supply-driven regime we’ve long described. Attention is now turning from the AI buildout to demand, adoption and who benefits as competition for capital intensifies.”

The pivot was clear.

What changed BlackRock’s neutral stance on U.S. equities?

Boivin’s forum summary attributed the move to neutral on U.S. equities to uncertainty over the scale and speed of AI buildout and adoption, plus intensifying competition for capital. It set no market-loss percentage, allocation target or semiconductor demand forecast.

For the semiconductor supply chain, that distinction changes the question: the forum described a financing risk, not a reported cut to an announced chip order. It published no fab investment, capacity, shipment or revenue figure. Instead, it asked whether rising funding costs could slow the conversion of AI plans into chip purchases.

How could capital competition reach hyperscalers?

Boivin said: “Rising financing costs and competing funding needs may force hyperscalers to consider greater equity issuance to manage leverage, potentially affecting market dynamics.”

His wording describes a possibility, not a transaction. The forum named no hyperscaler, financing amount or issuance date, and it did not say that any company has revised its AI budget.

For suppliers, the commercial risk sits one step downstream: more expensive capital could make customers stage deployment more carefully, leaving the timing and mix of semiconductor demand less certain. That is an analytical implication, not a reported cut to supply.

What will this week’s inflation data show?

Timing matters because the macro backdrop can alter that funding math. After last week’s strong U.S. payrolls report, this week’s CPI and PPI releases will provide fresh clues on inflation ahead of the Fed’s December meeting. The forum supplied no payroll gain, price-index forecast or rate-path estimate, leaving those releases as evidence rather than a conclusion.

Boivin’s team framed structurally higher rates and changing correlations as conditions that can weaken traditional hedges. For semiconductor observers, the market’s treatment of AI-linked suppliers may matter alongside customer budgets; the forum did not identify any supplier.

How should portfolios handle structurally higher rates?

Boivin recommended flexibility as the key response, warning that structurally higher rates and changing correlations may undermine traditional hedges and introduce new sources of volatility. The recommendation rests on the possibility that capital competition will keep asset-price relationships less stable, giving managers room to adjust when funding costs, correlations or AI-adoption evidence change.

Boivin previously served as deputy governor of the Bank of Canada and as Finance Canada’s associate deputy minister and G7/G20 deputy. He has taught at Columbia Business School and HEC Montreal, and writes about the global economy, global markets and policy.

The forum’s conclusion is measured rather than bearish: AI investment remains the focus, but its financing and adoption now carry more weight than the buildout alone. This week’s CPI and PPI releases, the Fed’s December meeting and any hyperscaler equity issuance will test whether capital-market caution changes the timing or pricing of AI chip orders.