Jensen Huang expects Nvidia to sell $1 trillion of AI hardware through 2027

Jensen Huang at CES 2026 — (Image credit: Getty Images / Patrick T. Fallon)

Jensen Huang, chief executive and a co-founder of Nvidia, expects his company to earn $1 trillion selling AI hardware through 2027, he revealed at his keynote at the GTC 2026 event. If this happens, then Nvidia will be the first company in history to earn $1 trillion by selling AI hardware, which will once again prove its strong position as an indisputable AI hardware market leader.

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Microsoft data center in Mount Pleasant, Wisconsin — (Image credit: Microsoft)

There are currently no companies in the world generating $1 trillion in annual revenue, though Nvidia expects its AI hardware revenue for 2025 – 2027 period to be $1 trillion. The biggest companies are still well below $1 trillion per year, although some are getting closer. Even the world's largest company by sales, Walmart, earned $681 billion in annual revenue last fiscal year, so it is still over $300 billion of $1 trillion. Amazon earned $638 billion in revenue last year, followed by Apple with $391 billion. If Nvidia crossed the $1 trillion revenue in 2027, then it would likely earn more than Apple and Amazon did in 2025 combined.

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Nvidia earned $215 billion in its fiscal year 2026 that ended on January 31, 2026, up from $130.5 billion in FY2025. For the first quarter of its fiscal 2027, Nvidia projects revenue to hit $78 billion, up from $44.062 billion in Q1 FY2026. If Nvidia continues to grow its revenue at a pace of 164% per year, then its revenues will hit $578.264 in fiscal 2028, which is than Apple's or UnitedHealthGroup revenue in 2025.

Some analysts think Nvidia could reach $1 trillion annual revenue by around 2030 if global AI infrastructure spending continues to grow and will be in the multi-trillion-dollar range around 2030.

But is it really possible? Perhaps, the only way for Nvidia's revenue to reach $1 trillion is to grow faster than the market, increase the volumes of products it sells, and possibly increase the average sales price of its products.

This may not be too hard as Nvidia's Rubin Ultra AI GPU will increase its compute chiplet count from two in case of Blackwell and Rubin to four. As a result, Nvidia will have to increase its price accordingly, which will increase its revenue. As it is highly likely that Feynman GPUs will retain the quad chiplet design, those AI GPU prices will be here to stay. A big question, however, is whether Nvidia can meet demand for AI hardware worth $1 trillion in the coming years as the company's supplier TSMC expands its capacity at rather conservative pace.

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Anton Shilov is a contributing writer at Tom’s Hardware. Over the past couple of decades, he has covered everything from CPUs and GPUs to supercomputers and from modern process technologies and latest fab tools to high-tech industry trends.

15 Comments Comment from the forums

ttquantia

This sounds very much like the biggest crash ever. Nobody knows what that way more one 1 trillion dollars worth of services those AI companies are going to be selling to cover the 1 trillion dollars Nvidia is going to earn from them. Walmart, Amazon and even Apple are selling tangible products that people need and use. The AI companies don't seem to be selling anything that hundreds of millions or billions of people would need and be happy to pay lots of real money for. This does not look good. At all.
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vanadiel007

Expect memory and storage pricing to go up. That is how they are making their real money, with hardware sales.
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timsSOFTWARE

I don't believe AI is going away, but current hardware spending seems clearly unsustainable. At some point, investors will grow impatient and not want to put any more money in before they see results. And that's also when I think the shift toward local models will pick up steam.

The big AI companies need to do more than deliver incremental improvements if they are ever going to see profitability. $20/month subscriptions are not going to cut it, and there is no moat around the API services, other than user familiarity. Most of the data used to train the models is in the public domain, and the algorithms used are generally open knowledge as well. (Just wait until people realize that all you need to provide an "agentic" environment to an LLM, is a prompt loop and piped access to a Linux shell.)

When the prices are similar and the architecture is better understood, companies will likely decide they'd rather have control over their data with local AI and their own fine-tuning/LoRA rather than running in the cloud. I do think there are underlying learnings from LLMs that are invaluable - understanding the principles behind the math is akin to learning algebra or something like that - but I'm actually not certain that anybody is going to make any real money on it.

The AI that everybody really wants, is one that tasks can be delegated to - and that requires taking responsibility and learning from mistakes; characteristics of a mind, not a tool. So maybe that turns out to be infeasible. Or maybe it is feasible, but the resulting entity doesn't want to be in a slave role, churning out CRUD apps for humans. Either way, it's hard to see the version of the future that investors are pouring trillions into, to buy rapidly depreciating computer hardware that will be effectively worthless from a performance-per-watt and datacenter space perspective 5-10 years from now.
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alrighty_then

NemoClaw might change business in a big way. We'll see who adopts this agentic AI first and what they do with it, but I can see this causing a huge improvement in productivity in the enterprise. The way you can just talk to it and it achieves so much...it's really incredible. I think a huge percentage of the population still has no idea this is possible.

Interesting to see some say it's a bubble and won't be profitable while others see trillion dollar buisnesses left and right, basically doing everything with the potential to put everyone out of a job. Pretty big difference in predictions there.

An exciting time in tech, for sure!
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hotaru251

which will once again prove its strong position as an indisputable AI hardware market leader.

except it will hit same issue it did w/ GPU's in that your gains start to stagnate & unlike graphics the way you do "ai" isn't as easily transitioned to get high jumps again.

and thats even assuming the bubble lasts a few more years as there are already reports of 'ai" benefit for companies fabricating their benefit and actually losing em money (and time as they have to double check everything they had contact with)

lack of supply of materials, growing cost of power to run em, still extremely little to no profit and it's going to collapse nearly overnight.

alrighty_then said:
Interesting to see some say it's a bubble and won't be profitable while others see trillion dollar buisnesses left and right, basically doing everything with the potential to put everyone out of a job. Pretty big difference in predictions there.
because its both true.

Those who sell the "ai" make profit (bottom of pyramid scheme and make $ as they dont spend anything outside material cost for it)
those who have to buy it and then sell it make less and then you get to companies and stuff where tis just "ai" chatbot like stuff that has barely any real value and is making no $.
The big corpo keep tossing $ to it becasue to them they are blinded by the $ of it when they can replace human workers. (a 1 time purchase & maybe a maintenance guy is much cheaper than having to pay a wage & benefits to your hundreds/thousands of human workforce)

everyone knows its a bubble and ones who say it isn't are ones who are wanting to profit from it longer.

The fact chipmakers aren't rushing to expand during this huge a boom (which they could easily rake in more $) is a sign they won't risk it popping before they ramped up production as it could pop prior to that and then they are down billions. (memory makers know this 1st hand as yrs ago there was so much ram it was dirt cheap and they literally all cut back just to get it back to normal prices and they wont risk it again)
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bit_user

alrighty_then said:
NemoClaw might change business in a big way. We'll see who adopts this agentic AI first and what they do with it, but I can see this causing a huge improvement in productivity in the enterprise. The way you can just talk to it and it achieves so much...it's really incredible. I think a huge percentage of the population still has no idea this is possible.
In order for it to have much role in business, it needs to be really good. Like, more trustworthy than most human employees. I don't see that happening for a while.

alrighty_then said:
Interesting to see some say it's a bubble and won't be profitable while others see trillion dollar buisnesses left and right, basically doing everything with the potential to put everyone out of a job. Pretty big difference in predictions there.
CEOs have already been trying to replace human employees with AI for more than a year. Some people will do almost anything to save a $, even at the risk of sabotaging their own company!

alrighty_then said:
An exciting time in tech, for sure!
Eh, the datacenter stuff is getting so esoteric and impractical to use in a homelab setting that I almost don't even care, any more. My eyes just glaze over, when I read about the latest & greatest NV576 pods or whatever. I don't even care how much compute power they have, because I can't think of anything to do with it that's remotely interesting or meaningful to me.

Sure, there are some trickle-down effects, but with pricing getting so out-of-control and all the best lithography nodes tied up by AI accelerators, even that aspect has been breaking down. There are already rumors about delays in the launch of next gen Ryzen and Nova Lake desktop CPUs. Next gen client GPUs might also slip, not to mention game consoles.

Unless you're right in the thick of the AI business, what's to be excited about? I'm sort of lucky that I find microarchitectures and memory technology somewhat interesting, since I'll at least get to read about Rubin, Zen 6, DDR6, HBM4e, etc. Otherwise, the situation is looking pretty bleak.
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SkyBill40

If I face palmed any harder, my palm would be through my face.
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logainofhades

I hope Nvidia has contingency plans in place for when the AI bubble explodes.
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SkyBill40

logainofhades said:
I hope Nvidia has contingency plans in place for when the AI bubble explodes.
Yeah. Pretty sure the Steve Miller Band wrote a song which covers the gist of it called "Take the money and run."
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bit_user

logainofhades said:
I hope Nvidia has contingency plans in place for when the AI bubble explodes.
I wasn't at all worried about their financial solvency until they started effectively trading GPUs for equity in AI companies. That'll blow a hole in their warchest, if/when this whole thing goes south.

SkyBill40 said:
Yeah. Pretty sure the Steve Miller Band wrote a song which covers the gist of it called "Take the money and run."
What they've started doing for the past year is like the house loaning money to the gamblers.

I think it's because Jensen is afraid of their investors. He'll do & say pretty much anything to keep them happy, and they're happy as long as sales volumes keep going up and the numbers on the books look good.
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