Big Tech's $2.7 trillion AI bill comes due: Chart of the Day

Big Tech's $2. 7 trillion AI bill comes due: Chart of the Day Jared Blikre Wed, June 24, 2026 at 12:00 PM GMT+2 2 min read AVGO GOOGL ORCL AAPL NVDA The "Magnificent Seven" plus Broadcom ( AVGO ) and Oracle ( ORCL ) have lost roughly $2. 7 trillion in market value in June, according to Yahoo Finance analysis, as investors take a harder look at the companies funding the AI build-out.

Initially, this month's reset focused on the Magnificent Seven . Now the pressure captures Broadcom and Oracle — two names closely tied to the AI infrastructure build-out. The reset cuts across both sides of the AI complex.

The "Magnificent Seven" plus Broadcom and Oracle have erased roughly $2. 7 trillion in market value this month as investors reprice the companies funding and powering the AI build-out. · Yahoo Finance analysis of AlphaSpace data Nvidia ( NVDA ) and Broadcom are tied to the hardware boom.

Microsoft ( MSFT ), Alphabet ( GOOGL , GOOG ), Amazon ( AMZN ), Meta ( META ), and Oracle are tied to the spending boom. Apple ( AAPL ) and Tesla ( TSLA ) remain part of the megacap growth trade investors have treated as an AI-adjacent proxy. The market is putting a price on the cost of the build-out.

More from Yahoo Scout How is AI infrastructure spending affecting cash flow? What costs are driving AI build-out expenses? Which companies benefit from AI bottleneck trades?

Why did Magnificent Seven stocks lose $2. 7 trillion? Nomura cross-asset strategist Charlie McElligott framed the hyperscalers as "the funding shorts" behind AI bottleneck trades across memory, chips, optical, networks, servers, and power infrastructure.

In plain English, the companies spending on AI are also the revenue sources for many of the stocks investors have been chasing. Hyperscaler free cash flow, or cash left after spending, is projected to fall sharply as the AI build-out becomes increasingly expensive. · Nomura Hyperscaler free cash flow, or cash left after spending, is projected to fall sharply as the AI build-out becomes increasingly expensive.

That cash can fund buybacks, acquisitions, dividends, and future investments. It is also the cushion investors have come to expect from the biggest tech platforms. Now that cushion is getting squeezed.

Data centers, chips, power, networking gear, and cloud infrastructure are becoming the entry fee for staying in the AI race. Investors have spent much of the year rewarding the bottlenecks powering the AI boom. The question now is whether Big Tech can keep paying for them without losing the cash-flow story investors loved.

The biggest AI names are no longer trading solely on the promise of future revenue. They are trading on the cost of getting there. Jared Blikre is the global markets and data editor for Yahoo Finance.

Follow him on X at @SPYJared or email him at jaredblikre@yahooinc. com.