On Dec. 9, OpenAI made its artificial intelligence video generation model Sora publicly available in the U.S. and other countries.
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The U.K. is drawing up measures to regulate the use of copyrighted content by tech companies to train their artificial intelligence models.
The British government on Tuesday kicked off a consultation which aims to increase clarity for both the creative industries and AI developers when it comes to both how intellectual property is obtained and then used by AI firms for training purposes.
Some artists and publishers are unhappy with the way their content is being scraped freely by companies like OpenAI and Google to train their large language models — AI models trained on huge quantities of data to generate humanlike responses.
Large language models are the foundational technology behind today’s generative AI systems, including the likes of OpenAI’s ChatGPT, Google’s Gemini and Anthropic’s Claude.
Last year, The New York Times brought a lawsuit against Microsoft and OpenAI accusing the companies of infringing its copyright and abusing intellectual property to train large language models.
In response, OpenAI disputed the NYT’s allegations, stating that the use of open web data for training AI models should be considered “fair use” and that it provides an “opt-out” for rights holders “because it’s the right thing to do.”
Separately, image distribution platform Getty Images sued another generative AI firm, Stability AI, in the U.K., accusing it of scraping millions of images from its websites without consent to train its Stable Diffusion AI model. Stability AI has disputed the suit, noting that the training and development of its model took place outside the U.K.
Proposals to be considered
First, the consultation will consider making an exception to copyright law for AI training when used in the context of commercial purposes but while still allowing rights holders to reserve their rights so they can control the use of their content.
Second, the consultation will put forward proposed measures to help creators license and be remunerated for the use of their content by AI model makers, as well as give AI developers clarity over what material can be used for training their models.
The government said more work needs to be done by both the creative industries and technology firms to ensure any standards and requirements for rights reservation and transparency are effective, accessible and widely adopted.
The government is also considering proposals that would require AI model makers to be more transparent about their model training datasets and how they’re obtained so that rights holders can understand when and how their content has been used to train AI.
That could prove controversial — technology firms aren’t especially forthcoming when it comes to the data that fuels their coveted algorithms or how they train them up, given the commercial sensitivities involved in revealing those secrets to potential competitors.
Previously, under former Prime Minister Rishi Sunak, the government attempted to agree a voluntary AI copyright code of practice.
AI copyright rules: U.K. versus U.S.
In a recent interview with CNBC, the boss of app development software firm Appian said he thinks the U.K. is well placed to be the “global leader on this issue.”
“The U.K. has put a stake in the ground declaring its prioritization of personal intellectual property rights,” Matt Calkins, Appian’s CEO, told CNBC. He cited 2018’s Data Protection Act as an example of how the U.K. is “closely associated with intellectual property rights.”
The U.K. is also not “subject to the same overwhelming lobbying blitz from domestic AI leaders that the U.S. is,” Calkins added — meaning it might not be as prone to bowing down to pressure from tech giants as politicians stateside.
“In the U.S., anybody who writes a law about AI is going to hear from Amazon, Oracle, Microsoft or Google before that bill even reaches the floor,” Calkins said.
“That’s a powerful force stopping anyone from writing sensible legislation or protecting the rights of individuals whose intellectual property is being taken wholesale by these major AI players.”
The issue of potential copyright infringement by AI firms is becoming more notable as tech firms are moving toward a more “multimodal” form of AI — that is, AI systems that can understand and generate content in the form of images and video as well as text.
Last week, OpenAI made its AI video generation model Sora publicly available in the U.S. and “most countries internationally.” The tool allows a user to type out a desired scene and produce a high-definition video clip.
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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.
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.
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.
Elon Musk meets with Indian Prime Minister Narendra Modi at Blair House in Washington DC, USA on February 13, 2025.
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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.