Big Tech to spend $500B on AI in 2026, fueling Nvidia's surge

Alphabet, Amazon, and Meta will collectively spend more than $500 billion on AI infrastructure in 2026, with Nvidia capturing the largest share of that outlay.

The three largest US technology companies plan to invest over $500 billion combined in AI infrastructure next year, a spending wave that propelled Nvidia's data center revenue to $75.2 billion last quarter, up 92 percent from a year earlier.

"When I say I think AI compute equates to intelligence, why would you not want more intelligence?" AMD Chair and Chief Executive Officer Lisa Su said. "We are seeing the return on investments."

Alphabet raised its 2026 capital expenditure forecast to as much as $205 billion from a prior range of $180 billion to $190 billion, with Chief Financial Officer Anat Ashkenazi warning that spending will "increase significantly" in 2027. Amazon plans about $200 billion in capex next year, while Meta has guided for up to $145 billion. The combined figure exceeds the annual gross domestic product of countries such as Austria and Thailand.

The spending spree shows a circular dynamic: Big Tech's AI infrastructure buildout is the primary demand driver for Nvidia's graphics processing units, and Nvidia's soaring revenue in turn validates the hyperscalers' thesis that compute capacity translates into competitive advantage. But the scale of the investment — and the pressure it places on free cash flow — has begun to rattle investors who want clearer proof of returns.

The Cash Flow Squeeze

Alphabet reported its first negative free cash flow as a public company in the second quarter, even as it posted a record quarterly profit of $112 billion. Of that haul, $99 billion came from paper gains on its investment portfolio — stakes in companies such as SpaceX and Anthropic — rather than from operating income. The disconnect between headline profit and cash generation sent Alphabet shares down 6.89 percent in a single session.

Amazon faces a similar dynamic. Its trailing-12-month free cash flow fell to $1.2 billion from $25.9 billion a year earlier, driven by a $59.3 billion jump in capital spending. The stock has slid about 16 percent from its 52-week high, even as Wall Street maintains an average price target of roughly $313, implying 34 percent upside from current levels.

Nvidia's Dominance and the Competitive Landscape

Nvidia's data center revenue of $75.2 billion in the first quarter of its fiscal 2026 dwarfs the combined AI chip output of rivals. AMD, which competes with Nvidia in the data center GPU market, has seen its own AI revenue grow but remains a distant second. Intel, meanwhile, has struggled to gain traction with its Gaudi accelerator line.

The spending plans also benefit the broader semiconductor supply chain. TSMC, which manufactures Nvidia's chips on its advanced process nodes, stands to gain from the sustained demand for CoWoS advanced packaging — a critical bottleneck in GPU production. Memory makers such as SK Hynix and Samsung, which supply high-bandwidth memory for AI accelerators, are also positioned to benefit from the multiyear investment cycle.

"Now, the important thing is where is the return on investment for those investments?" Su said. "We are seeing the return on investments. The fact is, we are ramping our own AI usage within AMD very significantly month over month."

For investors, the question is whether the hyperscalers' spending discipline will hold. Nvidia shares trade at roughly 35 times forward earnings, a premium that reflects expectations of continued growth. If any of the three tech giants signals a pullback in capex — or if the cash flow pressure forces a reassessment — Nvidia's valuation could face a recalibration. For now, the spending trajectory points in one direction: up.

This article is for informational purposes only and does not constitute investment advice.