Generative artificial intelligence startups are getting 40% of all the venture capital funding that flows into cloud companies, according to venture investors Accel.
In its latest annual Euroscape report, which looks at key cloud and AI trends, Accel said that venture funding for cloud startups based in the U.S., Europe and Israel is projected to rise to $79.2 billion this year, with artificial intelligence fueling much of the recovery.
Venture funding into the cloud industry climbed 27% annually — marking the first year of growth in three years. Cloud startups raised $62.5 billion in Europe, Israel and the U.S. in 2023, the report found.
Funding is up 65% from the $47.9 billion cloud firms raised four years ago, according to Accel.
It comes after OpenAI, the Microsoft-backed company behind the buzzy generative AI chatbot ChatGPT, earlier this month raised $6.6 billion in a mammoth funding round that valued the startup at $157 billion.
AI is eating software
Much of the growth of funding in cloud is being driven by excitement around AI.
“AI is sucking the air out of the room” when it comes to cloud, Philippe Botteri, partner at Accel, told CNBC in an interview this week. “This is both visible on the public market and and the private market.”
As of Sep. 30, the Euroscape index — a selection of publicly-listed U.S., European and Israeli cloud firms curated by Accel — is up 19% year-over-year.
This pales in comparison with the 38% increase the Nasdaq saw this year and is also down 39% from the Euroscape index’s peak hit back in 2021.
The cloud industry has been having a tough time beyond AI, with enterprise software budgets squeezed by macroeconomic and geopolitical risks.
“There’s a lot of uncertainty out there,” Botteri said, adding that businesses are increasingly asking questions around geopolitical tensions and macroeconomic factors, which have affected software spending priorities.
Not a single company in Accel’s Euroscape index has seen revenue growth of more than 40% per year this year, compared with 23 businesses achieving the feat in 2021.
“IT budgets are shifting towards AI,” Botteri noted. “They are still growing slightly, but they are growing a few percent year-over-year.”
“Part of it is budgets going toward genAI, building new applications, testing these new technologies, so there is less for the rest,” the VC investor added.
Foundational models in focus
The top six generative AI companies in the U.S., Europe and Israel, respectively, accounted for roughly two thirds of the funding raised by all genAI startups, according to Accel’s Euroscape report.
OpenAI raised a dominant $18.9 billion in 2023-24, taking the lion’s share of VC funding that went to U.S. genAI companies.
“When you look OpenAI and the speed at which the road to over $3 billion in revenues, this has been one of the fastest companies in software of all time,” said Botteri.
Anthropic raised the second-largest sum among U.S. genAI startups, with $7.8 billion, while Elon Musk’s xAI came in third.
In Europe, the biggest funding amounts went to Britain’s Wayve, France’s Mistral and Germany’s Aleph Alpha.
Globally, companies building so-called foundational models, which power much of today’s generative AI tools, account for two thirds of overall funding for generative AI firms, Accel said.
Big Tech’s AI splurge
The U.S. took the lead globally in terms of overall regional generative AI investment raised.
Out of the $56 billion total siphoned into genAI firms globally over 2023-24, roughly 80% of the cash went to U.S.-based firms, Accel said, also noting that Amazon, Microsoft, Google and Meta are each investing an eye-watering average $30 billion to $60 billion in AI per year.
AI “majors” like OpenAI, Anthropic and xAI are spending billions on the technology, Accel said, while smaller challengers including Cohere, H and Mistral are investing tens to hundreds of millions per year.
Dev Ittycheria, CEO of database firm MongoDB, noted that it’s likely concentration of the most powerful AI models will consolidate to only a select few players that are able to attract the necessary capital to make investments in data centers and chips to train and run their systems.
“Access to capital will profoundly impact the performance of these models,” Ittycheria said in an interview Tuesday on CNBC’s “Squawk Box.” He added: “My bet is that over time, you won’t have this many model providers, you may come down to one or two.”
TikTok’s grip on the short-form video market is tightening, and the world’s biggest tech platforms are racing to catch up.
Since launching globally in 2016, ByteDance-owned TikTok has amassed over 1.12 billion monthly active users worldwide, according to Backlinko. American users spend an average of 108 minutes per day on the app, according to Apptoptia.
TikTok’s success has reshaped the social media landscape, forcing competitors like Meta and Google to pivot their strategies around short-form video. But so far, experts say that none have matched TikTok’s algorithmic precision.
“It is the center of the internet for young people,” said Jasmine Enberg, vice president and principal analyst at Emarketer. “It’s where they go for entertainment, news, trends, even shopping. TikTok sets the tone for everyone else.”
Platforms like Meta‘s Instagram Reels and Google’s YouTube Shorts have expanded aggressively, launching new features, creator tools and even considering separate apps just to compete. Microsoft-owned LinkedIn, traditionally a professional networking site, is the latest to experiment with TikTok-style feeds. But with TikTok continuing to evolve, adding features like e-commerce integrations and longer videos, the question remains whether rivals can keep up.
“I’m scrolling every single day. I doom scroll all the time,” said TikTok content creator Alyssa McKay.
But there may a dark side to this growth.
As short-form content consumption soars, experts warn about shrinking attention spans and rising mental-health concerns, particularly among younger users. Researchers like Dr. Yann Poncin, associate professor at the Child Study Center at Yale University, point to disrupted sleep patterns and increased anxiety levels tied to endless scrolling habits.
“Infinite scrolling and short-form video are designed to capture your attention in short bursts,” Dr. Poncin said. “In the past, entertainment was about taking you on a journey through a show or story. Now, it’s about locking you in for just a few seconds, just enough to feed you the next thing the algorithm knows you’ll like.”
Despite sky-high engagement, monetizing short videos remains an uphill battle. Unlike long-form YouTube content, where ads can be inserted throughout, short clips offer limited space for advertisers. Creators, too, are feeling the squeeze.
“It’s never been easier to go viral,” said Enberg. “But it’s never been harder to turn that virality into a sustainable business.”
Last year, TikTok generated an estimated $23.6 billion in ad revenues, according to Oberlo, but even with this growth, many creators still make just a few dollars per million views. YouTube Shorts pays roughly four cents per 1,000 views, which is less than its long-form counterpart. Meanwhile, Instagram has leaned into brand partnerships and emerging tools like “Trial Reels,” which allow creators to experiment with content by initially sharing videos only with non-followers, giving them a low-risk way to test new formats or ideas before deciding whether to share with their full audience. But Meta told CNBC that monetizing Reels remains a work in progress.
While lawmakers scrutinize TikTok’s Chinese ownership and explore potential bans, competitors see a window of opportunity. Meta and YouTube are poised to capture up to 50% of reallocated ad dollars if TikTok faces restrictions in the U.S., according to eMarketer.
Watch the video to understand how TikTok’s rise sparked a short form video race.
The X logo appears on a phone, and the xAI logo is displayed on a laptop in Krakow, Poland, on April 1, 2025. (Photo by Klaudia Radecka/NurPhoto via Getty Images)
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Elon Musk‘s xAI Holdings is in discussions with investors to raise about $20 billion, Bloomberg News reported Friday, citing people familiar with the matter.
The funding would value the company at over $120 billion, according to the report.
Musk was looking to assign “proper value” to xAI, sources told CNBC’s David Faber earlier this month. The remarks were made during a call with xAI investors, sources familiar with the matter told Faber. The Tesla CEO at that time didn’t explicitly mention any upcoming funding round, but the sources suggested xAI was preparing for a substantial capital raise in the near future.
The funding amount could be more than $20 billion as the exact figure had not been decided, the Bloomberg report added.
Artificial intelligence startup xAI didn’t immediately respond to a CNBC request for comment outside of U.S. business hours.
The AI firm last month acquired X in an all-stock deal that valued xAI at $80 billion and the social media platform at $33 billion.
“xAI and X’s futures are intertwined. Today, we officially take the step to combine the data, models, compute, distribution and talent,” Musk said on X, announcing the deal. “This combination will unlock immense potential by blending xAI’s advanced AI capability and expertise with X’s massive reach.”
Alphabet CEO Sundar Pichai during the Google I/O developers conference in Mountain View, California, on May 10, 2023.
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Alphabet‘s stock gained 3% Friday after signaling strong growth in its search and advertising businesses amid a competitive artificial intelligence environment and uncertain macro backdrop.
“GOOGL‘s pace of GenAI product roll-out is accelerating with multiple encouraging signals,” wrote Morgan Stanley‘s Brian Nowak. “Macro uncertainty still exists but we remain [overweight] given GOOGL’s still strong relative position and improving pace of GenAI enabled product roll-out.”
The search giant posted earnings of $2.81 per share on $90.23 billion in revenues. That topped the $89.12 billion in sales and $2.01 in EPS expected by LSEG analysts. Revenues grew 12% year-over-year and ahead of the 10% anticipated by Wall Street.
Net income rose 46% to $34.54 billion, or $2.81 per share. That’s up from $23.66 billion, or $1.89 per share, in the year-ago period. Alphabet said the figure included $8 billion in unrealized gains on its nonmarketable equity securities connected to its investment in a private company.
Adjusted earnings, excluding that gain, were $2.27 per share, according to LSEG, and topped analyst expectations.
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Alphabet shares have pulled back about 16% this year as it battles volatility spurred by mounting trade war fears and worries that President Donald Trump‘s tariffs could crush the global economy. That would make it more difficult for Alphabet to potentially acquire infrastructure for data centers powering AI models as it faces off against competitors such as OpenAI and Anthropic to develop largely language models.
During Thursday’s call with investors, Alphabet suggested that it’s too soon to tally the total impact of tariffs. However, Google’s business chief Philipp Schindler said that ending the de minimis trade exemption in May, which created a loophole benefitting many Chinese e-commerce retailers, could create a “slight headwind” for the company’s ads business, specifically in the Asia-Pacific region. The loophole allows shipments under $800 to come into the U.S. duty-free.
Despite this backdrop, Alphabet showed steady growth in its advertising and search business, reporting $66.89 billion in revenues for its advertising unit. That reflected 8.5% growth from the year-ago period. The company reported $8.93 billion in advertising revenue for its YouTube business, shy of an $8.97 billion estimate from StreetAccount.
Alphabet’s “Search and other” unit rose 9.8% to $50.7 billion, up from $46.16 billion last year. The company said that its AI Overviews tool used in its Google search results page has accumulated 1.5 billion monthly users from a billion in October.
Bank of America analyst Justin Post said that Wall Street is underestimating the upside potential and “monetization ramp” from this tool and cloud demand fueled by AI.
“The strong 1Q search performance, along with constructive comments on Gemini [large language model] performance and [AI Overviews] adoption could help alleviate some investor concerns on AI competition,” Post wrote in a note.