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Nvidia founder and CEO Jensen Huang displays products on-stage during the annual Nvidia GTC Artificial Intelligence Conference at SAP Center in San Jose, California, on March 18, 2024.

Josh Edelson | Afp | Getty Images

At the start of last week, OpenAI’s technology chief personally thanked Nvidia CEO Jensen Huang for “bringing us the most advanced” chips needed to run the demo for a presentation the company delivered on its latest artificial intelligence models.

A day later, at Google’s annual developer conference, Alphabet CEO Sundar Pichai highlighted his company’s “longstanding partnership with Nvidia,” and noted that Google Cloud will be using the chipmaker’s Blackwell graphics processing units (GPUs) in early 2025.

And this week, Microsoft, which provides servers to OpenAI, will announce new AI advancements and features that were developed on the company’s massive clusters of Nvidia GPUs. The company is hosting its Build conference in Redmond, Washington.

Heading into its quarterly earnings report on Wednesday, Nvidia finds itself at the center of the action in technology, a position that’s become increasingly commonplace for the 31-year-old company, whose market cap has ballooned past $2 trillion this year.

Nvidia is expected to report year-over-year revenue growth in excess of 200% for a third straight quarter, with analysts projecting a fiscal first-quarter bump-up of 243% to $24.6 billion, according to LSEG. More than $21 billion of that is expected to come from Nvidia’s data center business, which includes all the advanced processors the company is selling to Google, Microsoft, Meta, Amazon, OpenAI and others.

Nvidia is squeezing so much profit out of its AI suite of products that net income is expected to be up more than fivefold from a year earlier to $13.9 billion.

The stock has soared 91% this year after more than tripling in 2023.

Dan Niles on what to expect from Nvidia earnings

Dan Niles, founder of Niles Investment Management, compared Nvidia’s position in the AI boom to the “internet buildout” of the 1990s and Cisco’s role at the center in those days. Over a three-year stretch, Niles said, Cisco had several dramatic pullbacks, but ultimately increased 4,000% up to its peak in 2000. Nvidia will go through similar cycles, he said.

“We’re still really early in the AI build,” Niles told CNBC’s “Money Matters” on Monday. “I think the revenue will go up three to four times from current levels over the next three to four years, and I think the stock goes with it.”

Google, Amazon, Microsoft, Meta, and Apple are expected to shell out a combined $200 billion in capital expenditures this year, according to an estimate from Bernstein, with a huge portion of the spending going to AI-specific infrastructure like Nvidia chips.

Elsewhere, OpenAI is relying on Nvidia’s technology for its latest chatbot, GPT-4o. Meta announced plans in March to buy and build out computers that will include 350,000 Nvidia GPUs, costing billions of dollars, and CEO Mark Zuckerberg even swapped jackets with Huang and posed for a picture with the Nvidia CEO.

“If you look at today for the AI build out, who’s really driving that?” Niles said. “It’s the most profitable companies on the planet — it’s Microsoft, it’s Google, it’s Meta, and they’re driving this.”

Jensen Huang, co-founder and chief executive officer of Nvidia Corp., arrives at an event in Taipei, Taiwan, on Thursday, Jan. 25, 2024.

Lam Yik Fei | Bloomberg | Getty Images

Prior to the recent AI boom, Nvidia was known as the primary maker of chips used for 3D gaming. About a year ago, the chipmaker gave investors their first clue that the company would see a period of historic growth, signaling to Wall Street that it would generate about 50% more in sales than what analysts expected in the July 2023 quarter.

Growth rates have since accelerated. But starting in the second quarter, expansion is expected to slow, with analysts anticipating significant deceleration in each of the next three periods.

“We just don’t know how long this investment cycle lasts and just how much excess capacity will be created over that time in case this AI thing doesn’t materialize as quickly as expected,” Bernstein analysts wrote in a note earlier this month.

That’s not to say that Nvidia is at risk of losing a ton of the AI chip business to rivals. Piper Sandler analysts expect it to keep at least 75% of the AI accelerator market, even as companies like Google build their own custom chips.

“We view the percentage of hyperscaler spend that is dedicated towards compute further rising in 2024 and 2025,” Piper Sandler analyst Harsh Kumar wrote in a note.

One question the company faces is how well the transition is going to its next generation of AI chips, called Blackwell, which are expected to ship later this year. Some worry there could be a lull as clients hold off on buying the older Hopper GPUs like the H100 in favor of Blackwell-based chips such as the GH200.

“To some degree, the setup has shifted,” wrote Morgan Stanley analyst Joseph Moore in a note on Monday. “Six months ago, short term expectations were very strong but there was anxiety about durability. Now, fresh on the back of hyperscalers talking up longer term spending expectations for AI, those longer term views are more positive, but there is anxiety about a pause in front of Blackwell.”

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2025 CNBC Disruptor 50: How we chose companies on this year’s list

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2025 CNBC Disruptor 50: How we chose companies on this year's list

The top five companies on the 2025 CNBC Disruptor 50 list — Anduril, OpenAI, Databricks, Anthropic and Canva — have a combined valuation of just under $500 billion. This is more than the combined total valuation of almost every past Disruptor 50 list of the last 12 years.

OpenAI, the company that sparked a global arms race for new artificial intelligence capabilities, is the biggest contributor with its $300 billion value. But it is a race in which the other four companies in the top five (and more than two-thirds of the entire 2025 Disruptor 50) are very much key participants.

The piles of cash amassed by these startups is characteristic of a new era of the Disruptor 50 list, an era that began with the 2023 list and very much continues, with the Disruptors using their cash piles to fund their own growth organically, and (notably) inorganically. Databricks has been especially acquisitive, spending billions of dollars to buy other companies in the past year.

But valuation isn’t everything. The eye-popping values attained by the top five companies on this year’s list, and many others throughout the top 50, were technically less important factors in our ranking methodology than other measures of the companies’ growth, scalability, and their overall promise to keep on disrupting in the years to come.

Here’s how we chose the 2025 Disruptor 50:  

All private, independently owned startup companies founded after Jan. 1, 2010, were eligible to be nominated for the Disruptor 50 list. Companies nominated were required to submit a detailed analysis, including key quantitative and qualitative information. 

Quantitative metrics included company-submitted data on their sales, number of users, employee growth (or lack therof), and more. Some of this information has been kept off the record and was used for scoring purposes only. CNBC also brought in data from a pair of outside partners — PitchBook, which provided data on fundraising, implied valuations and investor quality; and IBISWorld, whose database of industry reports we use to compare the companies based on the industries they are attempting to disrupt. 

CNBC’s Disruptor 50 Advisory Board, a group of leading thinkers in the field of innovation and entrepreneurship from around the world, along with the newer Disruptor 50 VC Advisory Board, then ranked the quantitative criteria by importance and ability to disrupt established industries and public companies. This year, the two advisory boards found that scalability and user growth were the most important criteria, followed by sales growth and access to capital and community.

New for 2025, we can compare the way the two different advisory boards considered the importance of the list criteria. While the two boards mostly agreed, the VC group thought that the size of the industry being disrupted was much more important than the academics did, with the latter ranking access to capital and community as more important criterion than the group that provides said access.

The ranking model is complex enough to be sensitive to these differences of opinion, and perhaps more than ever, it makes good on the concept that companies must score highly on a wide range of criteria to make the final list. 

Nominated companies were also asked to submit important qualitative information about themselves, including descriptions of their core business model, ideal customers and recent company milestones. A team of CNBC editorial staff, including TV anchors, reporters and producers, and CNBC.com reporters and editors, along with many members of the Advisory Board, read the submissions and provided holistic qualitative assessments of each company. 

In addition, the VC Advisory Board assessed a small group of finalists as an additional component of the qualitative review. Specifically, we asked the VC group to assess some of the companies that would, if selected, be making the list for the first time, as well as to help in the consideration of high-scoring early stage firms, a group with lower valuations but promising business models poised for future growth. Importantly, these VCs were not permitted to provide an assessment of any company in their firm’s own portfolios.

In the final stage of the process, total qualitative scores were combined with a weighted quantitative score to determine which 50 companies made the list and in what order. 

The new generative AI era that began in 2023 has completely transformed the Disruptor 50 List. Twenty of this year’s 50 companies have made the list for the first time, while another 19 were first-timers in either 2023 or 2024. Put another way, only 11 of the 2025 honorees are pre-ChatGPT CNBC Disruptors. But for most of that group (Anduril, Databricks, and Canva chief among them), the embrace of the new era is what has kept them here.

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2025 CNBC Disruptor 50: See the full list of companies leading new era of AI breakthroughs and riches

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2025 CNBC Disruptor 50: See the full list of companies leading new era of AI breakthroughs and riches

The race for global supremacy in AI and the existential threat it represents to the status quo in the tech industry, and beyond, has led to record venture investment in startups.

The top five companies on this year’s Disruptor 50 list — including a new No. 1 Disruptor from the defense tech sector — have a combined valuation of just under $500 billion. That is more than the combined total valuation of almost every past Disruptor 50 list over the last 12 years.

One recently hauled in the largest VC round ever, and as consumer and business use of AI rapidly grows, more are using their cash to become aggressive acquirers, as they exponentially scale their generative AI business models.

But it’s never just about the money or size in the Disruptor 50 selection process, and it is far from all agentic AI and chatbots, with new business models emerging in a wide range of areas, from agriculture to autonomous transportation and health care.

It is increasingly about the new gen AI era, which began transforming the Disruptor 50 list in 2023, and hasn’t slowed down since. Twenty of this year’s 50 companies have made the list for the first time, while another 19 were first-timers in either 2023 or 2024. For most, embracing the new era is what has kept them here.

In all, the 2025 Disruptors have raised $127 billion at a total implied valuation $798 billion.

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Anduril tops 2025 CNBC Disruptor 50 list as interest and investment in defense tech booms

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Anduril tops 2025 CNBC Disruptor 50 list as interest and investment in defense tech booms

2025 CNBC Disruptor 50: Here are the companies leading a new era of AI breakthroughs and riches

This year’s Disruptor 50 list, topped by Anduril in the No. 1 spot, and then OpenAI, showcases 50 companies that are challenging the status quo and using technology (most often, AI) to transform a range of industries.

What’s particularly notable about this year’s list is how the sectors represented illustrate key trends not just in technology and VC, but also in politics and society. This is the first time in the 13 years of the Disruptor 50 list that it’s been topped by a defense tech company. The defense tech sector isn’t just represented by Anduril, with Flock Safety, Saronic Technologies, and Shield AI also making the 2025 list.

Their scope and scale demonstrate a rising trend. The four companies have a combined value of more than $45 billion and have raised almost $10 billion from investors. They have geographic diversity – all are headquartered outside Silicon Valley. And their focuses are varied. Flock Safety (No. 7 on this year’s list) makes security hardware and software. Saronic (No. 19) builds unmanned maritime vessels. Shield AI (No. 38) is an autonomous drone company.

Beyond the companies focused on building physical methods of defense, there is also Abnormal AI (No. 25), a cybersecurity company playing a key role in protecting systems from attacks that prey on human behavioral weaknesses. Gecko Robotics (No. 30) deploys its robots to capture data about the integrity of critical assets, including aircraft carriers, naval ships, and missile silos. 

The sector’s growth is expected to accelerate thanks to a surge of funding. Last week, Anduril announced a new $2.5 billion round of funding at a valuation — $30.5 billion — that is double the valuation of its previous round of funding. Saronic and Shield AI have also closed major fundraising rounds in 2025, according to Pitchbook; $600 million in Saronic’s case.

Igor Gnedo, Antonina Lepore & Adrianne Paerels

AI infrastructure company Scale AI (No. 28) secured a landmark deal last August with the Department of Defense’s Chief Digital and Artificial Intelligence Office to advance AI capabilities for the U.S. military. Scale AI also announced a new multi-million dollar deal with the DoD in March to help with “Thunderforge,” an initiative to develop AI agents for U.S. military planning and operations that also includes Anduril.

The surge in funding comes as President Trump has proposed an increase in defense spending, with a focus on modernizing military capabilities and opening opportunities beyond the legacy defense sector. There is also an increasing focus on dual-use technologies: Anduril took over Microsoft’s augmented reality headset program that was in the works with the military, and then at the end of May announced a deal with Meta to create VR and AR devices for use by the Army.

Along with the rise of military tech, the explosion in generative AI’s capabilities is driving the transformation of a range of sectors, from farming to law and robotics. Across the list, there are 17 enterprise tech companies, seven fintechs, four health-care companies, four in food/agriculture, and three each in transportation and biotech. 

More coverage of the 2025 CNBC Disruptor 50

AI-focused investments and higher valuations are on full display up and down this year’s Disruptor 50 list. The 13th annual Disruptor 50 class is valued at $798 billion, far more than last year’s $436 billion total, due in large part to OpenAI’s $300 billion valuation. The total amount the companies have raised increased to $127 billion, up from $70 billion last year.

It’s clear that the generative AI revolution has transformed the startup ecosystem as well as the list, with 20 newcomers this year. Only 11 companies on this year’s list were Disruptors before the launch of ChatGPT, and many in that group — including Anduril, Databricks, and Canva — have succeeded because of their embrace of gen AI.

More than two-thirds of companies on this year’s D50 list — 38 companies — said that AI is “critical to their business,” up from 34 last year. And 21 of this year’s companies say generative AI is their essential technology, up from 13 last year.

This reflects venture capital’s increasing focus on AI: about 58% of global VC dollars invested in the first quarter went into AI and machine learning startups, while in North America, 70% of deal value went into AI and machine learning startups. And the funding numbers continue to grow, with $73 billion raised in the first quarter, more than half of last year’s total, though that’s largely due to OpenAI’s $40 billion round, led by SoftBank.

AI is being used in a range of diverse use cases by Disruptors, including law (Harvey), fighting crime (Flock Safety), and in the doctor’s office (Abridge and Rad AI). But the sector with the most companies on this year’s Disruptor 50 list is enterprise AI, with 17 companies (up from 14 last year). These range from Databricks, which helps companies mine their data, to Glean, which enables its customers to build custom AI apps and custom search tools, to collaborative workspace and note-taking tool Notion.

Design platform Canva has increasingly invested in AI and made AI features the center of its toolkit. With partnerships with ChatGPT and Anthropic (No. 4 on this year’s list), and the acquisition of several AI-powered companies in the past year, CEO Melanie Perkins is expected to take her $32 billion company public in the next year. “We’ve continuously been investing in this space with magic recommendations, and so forth, over the years with generative AI,” said Perkins. “Being able to have that magic embedded as you’re writing your documents and your presentations, being able to have Canva AI … it’s really been an extension of that initial promise that we’ve had to customers, to empower the world, to design, to continue to put the latest to greatest technology in their hands.” 

Perkins says Canva has a three-pronged approach to AI: integrating the best products that are available, deeply investing in the areas needed to bring the expertise to their customers, and having a platform where the newest AI products and other apps can come onto Canva and be accessed by the community.

She is optimistic about the potential for AI to be a democratizing force for Canva’s 220 million customers around the world. “I think it’s critically important that as the world of humanity, we use AI to truly lift up every single person who lives here, to help everyone have their basic human needs being met,” she said. “And I think there is a huge opportunity for us to be dreaming bigger about what we want with technology accelerating. I think there is a huge opportunity to rethink what we’re doing with it and ensuring that it’s serving our needs.”

Sign up for our weekly, original newsletter that goes beyond the annual Disruptor 50 list, offering a closer look at list-making companies and their innovative founders.

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