Nvidia Reaches Record $4.84 Trillion Market Cap Amidst Broad Big Tech AI Spending Scrutiny
While Nvidia hit an all-time high, other tech giants face investor questions regarding the returns on their substantial AI infrastructure capital expenditures.
The story
The market is currently repricing artificial intelligence investments, leading to a notable divergence among top tech companies. Nvidia closed at an all-time high of $154.31 on Wednesday, June 24, 2026, during its annual shareholder meeting, pushing its market capitalization to $4.84 trillion. This positions Nvidia uniquely as the primary hardware supplier for the ongoing AI build-out, with its order book and margins remaining strong.
In contrast, other major tech players, including Amazon, Microsoft, Alphabet, and Meta, have seen their market values decline. The broader 'Magnificent Seven' group, along with Broadcom and Oracle, collectively shed approximately $2.7 trillion in market value this month, as concerns about interest rates and the economics of massive AI capital expenditures (capex) intensified. Investors are increasingly scrutinizing whether the hundreds of billions being poured into AI infrastructure by hyperscalers are translating into commensurate, durable revenue, with tougher questions anticipated in upcoming earnings calls.
Who moved
Nvidia
What Changed: Closed at an all-time high of $154.31 on June 24, 2026, reaching a $4.84 trillion market cap during its annual shareholder meeting.
Why It Matters: Demonstrates continued investor confidence in its dominant position as the essential hardware provider for AI infrastructure, even as other tech stocks face repricing.
Qualcomm
What Changed: Unveiled its new Dragonfly C1000 CPU for AI data centers and forecasts $15 billion in data center sales by 2029.
Why It Matters: Marks an aggressive entry into the high-growth AI data center chip market, securing Meta and Microsoft as early customers and intensifying competition with established players like Arm and Nvidia.
Microsoft
What Changed: Announced it will use Qualcomm's new Dragonfly C1000 CPU for its AI data centers.
Why It Matters: Signals a diversification of its AI infrastructure supply chain, potentially reducing reliance on a single vendor and fostering competition among chip providers.
Meta
What Changed: Will use Qualcomm's new Dragonfly C1000 CPU in its AI data centers.
Why It Matters: Indicates a strategic move to incorporate new chip architectures for its AI workloads, aligning with its substantial infrastructure investments.
Products & launches
Dragonfly C1000 CPU
Company: Qualcomm
What: A new computer chip designed specifically for AI data centers, with Meta and Microsoft confirmed as users.
Money & markets
Nvidia. Market capitalization reached $4.84 trillion on June 24, 2026, setting a new record.
Qualcomm. Forecasts $15 billion in sales from its data center business by 2029, up from previous estimates.
Microsoft. Q3 capital expenditure came in at $30.88 billion, an 84.39% year-over-year increase, with its AI business now at a $37 billion annual run rate, up 123% year-over-year.
Oracle. Reported full-year capital expenditure of $55.66 billion, resulting in negative free cash flow of $23.69 billion.
What we'll be watching
- Micron Technology's earnings report tonight (June 25, 2026) will serve as an early stress test for AI infrastructure investments.
- Upcoming earnings calls for hyperscalers will face tougher questions on whether AI spending is converting into durable revenue.
- The European Commission's ongoing antitrust investigation into Meta's WhatsApp policy and access for rival AI assistants.
- SK Hynix plans a US listing (ADR on NASDAQ) as early as the second week of July to fund its AI expansion.
Reporting + analyst voices: grounded via Google Search at publish time.