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Nvidia’s profit margins projected to remain above 70% through 2030

Nvidia's gross profit margins are projected to remain above 70% through 2030, according to DA Davidson analyst Gil Luria, as hyperscalers like Google and Amazon have few alternatives to the company's AI chips. The chipmaker reported $81.6 billion in fiscal Q1 2027 revenue, an 85% year-over-year increase, with net profit surging 211% to $58.3 billion. Nvidia's pricing power, driven by its dominant position and upcoming architectures like Blackwell and Rubin, allows it to convert AI demand into sustained high margins that most industries cannot match.

read2 min publishedJun 6, 2026

Hyperscalers' deep dependence on Nvidia's AI chips leaves few alternatives, giving the company pricing power that most industries can only dream about.

A 75% gross margin is the kind of number that makes CFOs weep with joy and competitors lose sleep. For Nvidia, it’s just Tuesday.

Gil Luria, head of technology research at DA Davidson, told Bloomberg Television on June 5 that Nvidia’s gross margins, currently sitting in the mid-70s percent range, are “relatively safe” through 2030. The reason is straightforward: the hyperscalers building out AI data centers, companies like Google and Amazon, simply don’t have many places to turn for comparable chips.

The numbers behind the fortress #

Nvidia’s fiscal Q1 2027 earnings, reported on May 20, paint a picture of a company that’s not just growing but accelerating. Revenue hit $81.6 billion for the quarter, an 85% increase year-over-year.

Net profit was $58.3 billion, up 211% compared to the same period last year.

For the full fiscal year 2026, Nvidia posted $215.9 billion in revenue with gross margins hovering between 71% and 75%. Gross margins near 75% mean that for every dollar Nvidia brings in, roughly 75 cents is left over after covering the direct cost of making its chips.

Why competitors can’t close the gap #

Yes, some of these hyperscalers have developed custom ASICs, application-specific integrated circuits designed for particular AI tasks. Google has its TPUs. Amazon has its Trainium and Inferentia chips. But these custom solutions have generally remained secondary to Nvidia GPUs across many critical AI applications.

Nvidia’s product roadmap reinforces this position. Upcoming chip architectures like Blackwell and Rubin are designed to keep the company at the frontier, ensuring that even as AI workloads evolve and grow more demanding, Nvidia remains the default choice for data center operators.

What this means for investors #

For anyone with exposure to the AI trade, whether through Nvidia stock directly or through the broader semiconductor ecosystem, margin durability is the single most important variable to watch. Revenue growth grabs headlines. Margins determine how much of that growth actually flows to the bottom line. The bottom line math is simple but powerful. At $215.9 billion in annual revenue with margins in the 71% to 75% range, Nvidia is converting AI hype into actual cash flow at a pace that validates the entire thesis around artificial intelligence as a generational technology shift.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our

Editorial Policy.

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