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Silhouettes of laptop and mobile device users are seen next to a screen projection of the YouTube logo.

Dado Ruvic | Reuters

Google is using its expansive library of YouTube videos to train its artificial intelligence models, including Gemini and the Veo 3 video and audio generator, CNBC has learned.

The tech company is turning to its catalog of 20 billion YouTube videos to train these new-age AI tools, according to a person who was not authorized to speak publicly about the matter. Google confirmed to CNBC that it relies on its vault of YouTube videos to train its AI models, but the company said it only uses a subset of its videos for the training and that it honors specific agreements with creators and media companies.

“We’ve always used YouTube content to make our products better, and this hasn’t changed with the advent of AI,” said a YouTube spokesperson in a statement. “We also recognize the need for guardrails, which is why we’ve invested in robust protections that allow creators to protect their image and likeness in the AI era — something we’re committed to continuing.”

Such use of YouTube videos has the potential to lead to an intellectual property crisis for creators and media companies, experts said.

While YouTube says it has shared this information previously, experts who spoke with CNBC said it’s not widely understood by creators and media organizations that Google is training its AI models using its video library.

YouTube didn’t say how many of the 20 billion videos on its platform or which ones are used for AI training. But given the platform’s scale, training on just 1% of the catalog would amount to 2.3 billion minutes of content, which experts say is more than 40 times the training data used by competing AI models.

The company shared in a blog post published in September that YouTube content could be used to “improve the product experience … including through machine learning and AI applications.” Users who have uploaded content to the service have no way of opting out of letting Google train on their videos. 

“It’s plausible that they’re taking data from a lot of creators that have spent a lot of time and energy and their own thought to put into these videos,” said Luke Arrigoni, CEO of Loti, a company that works to protect digital identity for creators. “It’s helping the Veo 3 model make a synthetic version, a poor facsimile, of these creators. That’s not necessarily fair to them.”

CNBC spoke with multiple leading creators and IP professionals, none were aware or had been informed by YouTube that their content could be used to train Google’s AI models.

Google DeepMind Veo 3.

Courtesy: Google DeepMind

The revelation that YouTube is training on its users’ videos is noteworthy after Google in May announced Veo 3, one of the most advanced AI video generators on the market. In its unveiling, Google showcased cinematic-level video sequences, including a scene of an old man on a boat and another showing Pixar-like animals talking with one another. The entirety of the scenes, both the visual and the audio, were entirely AI generated. 

According to YouTube, an average of 20 million videos are uploaded to the platform each day by independent creators by nearly every major media company. Many creators say they are now concerned they may be unknowingly helping to train a system that could eventually compete with or replace them.

“It doesn’t hurt their competitive advantage at all to tell people what kind of videos they train on and how many they trained on,” Arrigoni said. “The only thing that it would really impact would be their relationship to creators.”

Even if Veo 3’s final output does not directly replicate existing work, the generated content fuels commercial tools that could compete with the creators who made the training data possible, all without credit, consent or compensation, experts said.

When uploading a video to the platform, the user is agreeing that YouTube has a broad license to the content.

“By providing Content to the Service, you grant to YouTube a worldwide, non-exclusive, royalty-free, sublicensable and transferable license to use that Content,” the terms of service read.

“We’ve seen a growing number of creators discover fake versions of themselves circulating across platforms — new tools like Veo 3 are only going to accelerate the trend,” said Dan Neely, CEO of Vermillio, which helps individuals protect their likeness from being misused and also facilitates secure licensing of authorized content.

Neely’s company has challenged AI platforms for generating content that allegedly infringes on its clients’ intellectual property, both individual and corporate. Neely says that although YouTube has the right to use this content, many of the content creators who post on the platform are unaware that their videos are being used to train video-generating AI software.

Vermillio uses a proprietary tool called Trace ID to asses whether an AI-generated video has significant overlap with a human-created video. Trace ID assigns scores on a scale of zero to 100. Any score over 10 for a video with audio is considered meaningful, Neely said.

A video from YouTube creator Brodie Moss closely matched content generated by Veo 3. Using Vermillio’s Trace ID tool, the system attributed a score of 71 to the original video with the audio alone scoring over 90.

Vermillio

In one example cited by Neely, a video from YouTube creator Brodie Moss closely matched content generated by Veo 3. Trace ID attributed a score of 71 to the original video with the audio alone scoring over 90.

Some creators told CNBC they welcome the opportunity to use Veo 3, even if it may have been trained on their content.

“I try to treat it as friendly competition more so than these are adversaries,” said Sam Beres, a creator with 10 million subscribers on YouTube. “I’m trying to do things positively because it is the inevitable —but it’s kind of an exciting inevitable.”

Google includes an indemnification clause for its generative AI products, including Veo, which means that if a user faces a copyright challenge over AI-generated content, Google will take on legal responsibility and cover the associated costs.

YouTube announced a partnership with Creative Artists Agency in December to develop access for top talent to identify and manage AI-generated content that features their likeness. YouTube also has a tool for creators to request a video to be taken down if they believe it abuses their likeness.

However, Arrigoni said that the tool hasn’t been reliable for his clients.

YouTube also allows creators to opt out of third party training from select AI companies including Amazon, Apple and Nvidia, but users are not able to stop Google from training for its own models.

The Walt Disney Company and Universal filed a joint lawsuit last Wednesday against the AI image generator Midjourney, alleging copyright infringement, the first lawsuit of its kind out of Hollywood.

“The people who are losing are the artists and the creators and the teenagers whose lives are upended,” said Sen. Josh Hawley, R-Mo., in May at a Senate hearing about the use of AI to replicate the likeness of humans. “We’ve got to give individuals powerful enforceable rights and their images in their property in their lives back again or this is just never going to stop.”

Disclosure: Universal is part of NBCUniversal, the parent company of CNBC.

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Google hires Windsurf CEO Varun Mohan, others in latest AI talent deal

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Google hires Windsurf CEO Varun Mohan, others in latest AI talent deal

Chief executive officer of Google Sundar Pichai.

Marek Antoni Iwanczuk | Sopa Images | Lightrocket | Getty Images

Google on Friday made the latest a splash in the AI talent wars, announcing an agreement to bring in Varun Mohan, co-founder and CEO of artificial intelligence coding startup Windsurf.

As part of the deal, Google will also hire other senior Windsurf research and development employees. Google is not investing in Windsurf, but the search giant will take a nonexclusive license to certain Windsurf technology, according to a person familiar with the matter. Windsurf remains free to license its technology to others.

“We’re excited to welcome some top AI coding talent from Windsurf’s team to Google DeepMind to advance our work in agentic coding,” a Google spokesperson wrote in an email. “We’re excited to continue bringing the benefits of Gemini to software developers everywhere.”

The deal between Google and Windsurf comes after the AI coding startup had been in talks with OpenAI for a $3 billion acquisition deal, CNBC reported in April. OpenAI did not immediately respond to a request for comment.

The move ratchets up the talent war in AI particularly among prominent companies. Meta has made lucrative job offers to several employees at OpenAI in recent weeks. Most notably, the Facebook parent added Scale AI founder Alexandr Wang to lead its AI strategy as part of a $14.3 billion investment into his startup. 

Douglas Chen, another Windsurf co-founder, will be among those joining Google in the deal, Jeff Wang, the startup’s new interim CEO and its head of business for the past two years, wrote in a post on X.

“Most of Windsurf’s world-class team will continue to build the Windsurf product with the goal of maximizing its impact in the enterprise,” Wang wrote.

Windsurf has become more popular this year as an option for so-called vibe coding, which is the process of using new age AI tools to write code. Developers and non-developers have embraced the concept, leading to more revenue for Windsurf and competitors, such as Cursor, which OpenAI also looked at buying. All the interest has led investors to assign higher valuations to the startups.

This isn’t the first time Google has hired select people out of a startup. It did the same with Character.AI last summer. Amazon and Microsoft have also absorbed AI talent in this fashion, with the Adept and Inflection deals, respectively.

Microsoft is pushing an agent mode in its Visual Studio Code editor for vibe coding. In April, Microsoft CEO Satya Nadella said AI is composing as much of 30% of his company’s code.

The Verge reported the Google-Windsurf deal earlier on Friday.

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Nvidia’s Jensen Huang sells more than $36 million in stock, catches Warren Buffett in net worth

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Nvidia's Jensen Huang sells more than  million in stock, catches Warren Buffett in net worth

Jensen Huang, CEO of Nvidia, holds a motherboard as he speaks during the Viva Technology conference dedicated to innovation and startups at Porte de Versailles exhibition center in Paris, France, on June 11, 2025.

Gonzalo Fuentes | Reuters

Nvidia CEO Jensen Huang unloaded roughly $36.4 million worth of stock in the leading artificial intelligence chipmaker, according to a U.S. Securities and Exchange Commission filing.

The sale, which totals 225,000 shares, comes as part of Huang’s previously adopted plan in March to unload up to 6 million shares of Nvidia through the end of the year. He sold his first batch of stock from the agreement in June, equaling about $15 million.

Last year, the tech executive sold about $700 million worth of shares as part of a prearranged plan. Nvidia stock climbed about 1% Friday.

Huang’s net worth has skyrocketed as investors bet on Nvidia’s AI dominance and graphics processing units powering large language models.

The 62-year-old’s wealth has grown by more than a quarter, or about $29 billion, since the start of 2025 alone, based on Bloomberg’s Billionaires Index. His net worth last stood at $143 billion in the index, putting him neck-and-neck with Berkshire Hathaway‘s Warren Buffett at $144 billion.

Shortly after the market opened Friday, Fortune‘s analysis of net worth had Huang ahead of Buffett, with the Nvidia CEO at $143.7 billion and the Oracle of Omaha at $142.1 billion.

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The company has also achieved its own notable milestones this year, as it prospers off the AI boom.

On Wednesday, the Santa Clara, California-based chipmaker became the first company to top a $4 trillion market capitalization, beating out both Microsoft and Apple. The chipmaker closed above that milestone Thursday as CNBC reported that the technology titan met with President Donald Trump.

Brooke Seawell, venture partner at New Enterprise Associates, sold about $24 million worth of Nvidia shares, according to an SEC filing. Seawell has been on the company’s board since 1997, according to the company.

Huang still holds more than 858 million shares of Nvidia, both directly and indirectly, in different partnerships and trusts.

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Tesla to officially launch in India with planned showroom opening

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Tesla to officially launch in India with planned showroom opening

Elon Musk meets with Indian Prime Minister Narendra Modi at Blair House in Washington DC, USA on February 13, 2025.

Anadolu | Anadolu | Getty Images

Tesla will open a showroom in Mumbai, India next week, marking the U.S. electric carmakers first official foray into the country.

The one and a half hour launch event for the Tesla “Experience Center” will take place on July 15 at the Maker Maxity Mall in Bandra Kurla Complex in Mumbai, according to an event invitation seen by CNBC.

Along with the showroom display, which will feature the company’s cars, Tesla is also likely to officially launch direct sales to Indian customers.

The automaker has had its eye on India for a while and now appears to have stepped up efforts to launch locally.

In April, Tesla boss Elon Musk spoke with Indian Prime Minister Narendra Modi to discuss collaboration in areas including technology and innovation. That same month, the EV-maker’s finance chief said the company has been “very careful” in trying to figure out when to enter the market.

Tesla has no manufacturing operations in India, even though the country’s government is likely keen for the company to establish a factory. Instead the cars sold in India will need to be imported from Tesla’s other manufacturing locations in places like Shanghai, China, and Berlin, Germany.

As Tesla begins sales in India, it will come up against challenges from long-time Chinese rival BYD, as well as local player Tata Motors.

One potential challenge for Tesla comes by way of India’s import duties on electric vehicles, which stand at around 70%. India has tried to entice investment in the country by offering companies a reduced duty of 15% if they commit to invest $500 million and set up manufacturing locally.

HD Kumaraswamy, India’s minister for heavy industries, told reporters in June that Tesla is “not interested” in manufacturing in the country, according to a Reuters report.

Tesla is looking to recruit roles in Mumbai, job listings posted on LinkedIn . These include advisors working in showrooms, security, vehicle operators to collect data for its Autopilot feature and service technicians.

There are also roles being advertised in the Indian capital of New Delhi, including for store managers. It’s unclear if Tesla is planning to launch a showroom in the city.

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