Meta and Nvidia Post Opposite AI Outlines as Capex Rises and Revenue Surges

Meta and Nvidia have both turned in quarters that reinforce the scale of the AI buildout, but they reflect different roles in the market. Meta, the buyer of AI compute, is using ad-driven cash flow to finance data-center expansion and higher infrastructure costs. Nvidia, the supplier of AI chips and platforms, is translating that demand into sharp revenue growth and margins.

In its first-quarter 2026 results released April 29, Meta reported revenue of $56.31 billion, up 33% year over year. The company said ad impressions across its Family of Apps rose 19% and the average price per ad increased 12%. It also reported family daily active people (DAP) of 3.56 billion on average for March, up 4% year over year. Meta’s diluted EPS was $10.44, though the company noted the figure included an $8.03 billion income tax benefit, and that excluding the benefit, EPS would have been lower.

Meta also disclosed that it is already spending heavily. Capital expenditures, including principal payments on finance leases, were $19.84 billion in the quarter, and it reiterated a full-year 2026 capex range of $125 billion to $145 billion. The company said the higher outlook reflects expectations for higher component pricing and, to a lesser extent, additional data-center costs needed to support future capacity. In guidance, Meta expects second-quarter 2026 total revenue in the $58 billion to $61 billion range.

Nvidia’s latest reporting shows how quickly the supply chain can capture that kind of demand. In its financial results for the fourth quarter and fiscal 2026, Nvidia said it delivered record quarterly revenue of $68.1 billion, up 20% from the prior quarter and up 73% year over year. Data center revenue was a record $62.3 billion, up 22% from the prior quarter and up 75% year over year. For fiscal 2026, Nvidia reported full-year revenue of $215.9 billion, up 65% from the prior year.

Nvidia also used its results to underscore how its platforms are expanding deeper into customer infrastructure. In the same release, the company described a multiyear, multigenerational strategic partnership with Meta that spans on-premises, cloud, and AI infrastructure. Nvidia said the plan includes large-scale deployment of CPUs, networking, and “millions” of Nvidia Blackwell and Rubin GPUs for Meta.

The contrast between the two companies is at the heart of the recent market framing. Meta’s quarter highlights an internet advertising engine still producing enough cash to fund large infrastructure programs, while also carrying execution and monetization risk tied to the long lead times of data-center buildouts. Nvidia’s quarter positions it as the near-term beneficiary of hyperscale AI demand, with revenue growth tied to the pace at which customers are willing to invest in training and inference capacity.

What remains less clear is how quickly Meta will convert its AI spending into specific, measurable payoffs across its ad business or future product lines. Meta did not provide a detailed capex-to-revenue timeline in the earnings materials referenced here. It also flagged ongoing regulatory scrutiny and potential headwinds that could affect results. For investors and analysts watching the AI buildout, the next test is whether Meta’s higher spending sustains user growth and ad performance without eroding margins, while Nvidia’s revenue remains resilient as customers diversify hardware purchases and manage supply constraints.