Nvidia ve Alfabe: Yapay Zeka Liderleri Hakkında Gelir Trendleri Neler Gösteriyor?

Nvidia vs. Alphabet: What Revenue Trends Reveal About the AI Leaders

Vandita Jadeja

Sun, August 2, 2026 at 7:00 PM GMT+3 4 min read

Quick Read

NVDA posted 85% revenue growth to $82B while GOOG grew 24% to $120B, exposing two distinct AI business models from the same tailwind.
Alphabet suspended buybacks, doubled long-term debt to $98B, and guided $180-190B in capex, driving free cash flow negative at -$5.86B.
NVIDIA's 75% gross margins and 41x P/E look defensible against 85% growth; Alphabet at 15x P/E offers ad cash flows as a capex-fatigue cushion.
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NVIDIA (NASDAQ:NVDA) and Alphabet (NASDAQ:GOOG) both reported quarters that reshape how investors should think about AI leadership.

24/7 Wall St.

NVIDIA delivered $81.615 billion in revenue, up 85.23%. Alphabet pulled in $119.80 billion, up 24.2%. Same tailwind, very different business models, and the results expose the split.

Data Center Explodes for NVIDIA. Cloud Accelerates for Alphabet.

NVIDIA's Data Center segment hit $75.25 billion, up 92%, with networking alone growing 199% on InfiniBand, NVLink, and Spectrum-X demand.

Jensen Huang framed it plainly: "The buildout of AI factories, the largest infrastructure expansion in human history, is accelerating at extraordinary speed." Guidance for Q2 lands at $91 billion, and notably excludes any China Data Center compute revenue.

NVDA Price Target — 24/7 Wall St.

Alphabet's headline was Google Cloud reaching $24.77 billion, growing 82%. Sundar Pichai emphasized adoption: "Nearly 90% of the Fortune 100 using it" referring to Gemini Enterprise, while Gemini models process 22 billion API tokens per minute. Search advertising still funds the whole machine at $63.27 billion, up 17%.

GOOG Price Target — 24/7 Wall St.

Picks and Shovels vs. Full Vertical Stack

NVIDIA sells the compute. Alphabet builds on it, and also buys it. Pichai even said Google Cloud will be "among the first to offer NVIDIA Vera Rubin NVL72", which makes GOOG both a customer and a competitor thanks to its own TPUs. That vertical integration is the pitch: "We're unique in the market because of our vertically optimized AI stack."

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Business Driver

NVIDIA

Alphabet

Main Growth Engine

Data Center chips and networking

Cloud plus AI-enhanced Search

Operating Margin

60.4%

32.1%

YoY Revenue Growth

85.23%

24.2%

NVIDIA hiked its dividend from $0.01 to $0.25 and authorized $80 billion in buybacks. Alphabet went the other direction, suspending buybacks and raising roughly $70 billion in debt and equity to fund a capex plan now guided to $180-190 billion for 2026. Free cash flow at GOOG turned negative at -$5.86 billion. That is the cost of racing to own the stack.

What I'm Watching Into the Back Half of 2026

For NVIDIA, I want to see whether the Blackwell 300 ramp and Vera Rubin roadmap can offset a shut-out China market. Total supply commitments already sit at $119 billion, which signals confidence but locks in execution risk. Post-earnings price behavior has been mixed too. Shares closed at $200.75, up just 13.01% over a year, well below Alphabet's 85.46% one-year gain.

For Alphabet, the question is whether cloud backlog and Gemini monetization scale fast enough to justify depreciation from that capex surge. Long-term debt already jumped from $46.5 billion to $98.2 billion. That is a lot of leverage on a bet that AI infrastructure returns hold up.

Why I'd Own Both, but for Different Reasons

NVIDIA offers the purest exposure to the AI infrastructure cycle. The margins are extraordinary at 75% non-GAAP gross, and the P/E of 41x is defensible against 85% revenue growth. If China ever reopens, that becomes upside on top of the current thesis.

Alphabet fits me better as a compounder. A P/E near 15 for a business growing revenue in the mid-20s with an accelerating cloud engine feels like the more forgiving setup. If capex fatigue hits AI names later this year, GOOG's ad cash flows offer a cushion NVIDIA does not have. Both names carry real risk, and position sizing should track how much AI capex volatility an investor can absorb.