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Data storage tapes are stored at the National Energy Research Scientific Computing Center (NERSC) facility at the Lawrence Berkeley National Laboratory, which will house the U.S. supercomputer to be powered by Nvidia’s forthcoming Vera Rubin chips, in Berkeley, California, U.S. May 29, 2025.

Manuel Orbegozo | Reuters

Europe is setting its sights on gigawatt factories in a bid to bolster its lagging artificial intelligence industry and meet the challenges of a rapidly-changing sector.

Buzz around the concept of factories that industrialize manufacturing AI has gained ground in recent months, particularly as Nvidia CEO Jensen Huang stressed the importance of the infrastructure at a June event. Huang hailed a new “industrial revolution” at the GTC conference in Paris, France, and said his firm was working to help countries build revenue-generating AI factories through partnerships in France, Italy and the U.K.

For its part, the European Union describes the factories as a “dynamic ecosystem” that brings together computing power, data and talent to create AI models and applications.

The bloc has long been a laggard behind the U.S. and China in the race to scale up artificial intelligence. With 27 members in the union, the region is slower to act when it comes to agreeing new legislation. Higher energy costs, permitting delays and a grid in dire need of modernization can also hamper developments.

Henna Virkkunen, the European Commission’s executive vice president for tech sovereignty, told CNBC that the bloc’s goal is to bring together high quality data sets, computing capacity and researchers, all in one place.

“We have, for example, 30% more researchers per capita than the U.S. has, focused on AI. Also we have around 7,000 startups [that] are developing AI, but the main obstacle for them is that they have very limited computing capacity. And that’s why we decided that, together with our member states, we are investing in this very crucial infrastructure,” she said.

These are very big investments because they are four times more powerful when it comes to computing capacities than the biggest AI factories.

Henna Virkkunen

European Commission’s executive vice president for tech sovereignty

“We have everything what is needed to be competitive in this sector, but at the same time we want to build up our technological sovereignty and our competitiveness.”

So far, the EU has put up 10 billion euros ($11.8 billion) in funding to set up 13 AI factories and 20 billion euros as a starting point for investment in the gigafactories, marking what it says is the “largest public investment in AI in the world.” The bloc has already received 76 expressions of interest in the gigafactories from 16 member states across 60 sites, Virkkunen said.

The call for interest in gigafactories was “overwhelming,” going far beyond the bloc’s expectations, Virkkunen noted. However, in order for the factories to make a noteworthy addition to Europe’s computing capacity, significantly more investment will be required from the private sector to fund the expensive infrastructure.

‘Intelligence revolution’

The EU describes the facilities as a “one-stop shop” for AI firms. They’re intended to mirror the process carried out in industrial factories, which transform raw materials into goods and services. With an AI factory, raw data goes into the input, and advanced AI products are the expected outcome.

It’s essentially a data center with additional infrastructure related to how the technology will be adopted, according to Andre Kukhnin, equity research analyst at UBS.

“The idea is to create GPU [graphics processing units] capacity, so to basically build data centers with GPUs that can train models and run inference… and then to create an infrastructure that allows you to make this accessible to SMEs and parties that would not be able to just go and build their own,” Kukhnin said.

How the facility will be used is key to its designation as an AI factory, adds Martin Wilkie, research analyst at Citi.

“You’re creating a platform by having these chips that have insane levels of compute capacity,” he said. “And if you’ve attached it to a grid that is able to get the power to actually use them to full capacity, then the world is at your feet. You have this enormous ability to do something, but what the success of it is, will be defined by what you use it for.”

Telecommunications firm Telenor is already exploring possible use cases for such facilities with the launch of its AI factory in Norway in November last year. The company currently has a small cluster of GPUs up and running, as it looks to test the market before scaling up.

Telenor’s Chief Innovation Officer and Head of the AI Factory Kaaren Hilsen and EVP Infrastructure Jannicke Hilland in front of a Nvidia rack at the firm’s AI factory

Telenor

“The journey started with a belief — Nvidia had a belief that every country needs to produce its own intelligence,” Telenor’s Chief Innovation Officer and Head of the AI Factory Kaaren Hilsen told CNBC.

Hilsen stressed that data sovereignty is key. “If you want to use AI to innovate and to make business more efficient, then you’re potentially putting business critical and business sensitive information into these AI models,” she said.

The company is working with BabelSpeak, which Hilsen described as a Norwegian version of ChatGPT. The technology translates sensitive dialogues, such as its pilot with the border police who can’t use public translation services because of security issues.

We’re experiencing an “intelligence revolution” whereby “sovereign AI factories can really help advance society,” Hilsen said.

Billion-euro investments

Virkkunen said the region’s first AI factory will be operational in coming weeks, with one of the biggest projects launching in Munich, Germany in the first days of September. It’s a different story for the gigafactories.

“These are very big investments because they are four times more powerful when it comes to computing capacities than the biggest AI factories, and it means billions in investments. Each of these need three to five billion [euros] in investment,” the commissioner said, adding that the bloc will look to set up a consortium of partners and then officially open a call for investment later this year.

Bertin Martens, senior research fellow at Bruegel, questioned why such investments needed to subsidized by government funds.

“We don’t know yet how much private investment has been proposed as a complement to the taxpayer subsidy, and what capacity and how big these factories are. This is still very much unclear at this stage, so it’s very hard to say how much this will add in terms of computing capacity,” he said.

Power consumption is also a key issue. Martens noted that building an AI gigafactory may take one to two years — but building a power generation of that size requires much more time.

“If you want to build a state-of-the-art gigafactory with hundreds of thousands of Nvidia chips, you have to count on the power consumption of at least one gigawatt for one of those factories. Whether there’s enough space in Europe’s electricity grid in all of these countries to create those factories remains to be seen… this will require major investment in power regeneration capacity,” he told CNBC.

UBS forecasts that the current installed global data center capacity of 85 GW will double due to soaring demand. Based on the EU’s 20-billion-euro investment and the plan for each factory to run 100,000 advanced processors, UBS estimates each factory could be around 100-150 MW with a total capacity for all of the facilities of around 1.5-2 GW.

That could add around 15% to Europe’s total capacity — a sizeable boost, even when compared to the U.S., which currently owns around a third of global capacity, according to the data.

Following the announcement of the EU-U.S. trade framework, EU chief Ursula von der Leyen said Sunday that U.S. AI chips will help power the bloc’s AI gigafactories in a bid to help the States “maintain their technological edge.”

“One could argue that it’s relatively easy, provided you have the money. It’s relatively easy to buy the chips from Nvidia and to create these hardware factories, but to make it run and to make it economically viable is a completely different question,” Martens told CNBC.

He said that the EU will likely have to start at a smaller scale, as the region is unable to immediately build its own frontier models in AI because of their expense.

“I think in time, Europe can gradually build up its infrastructure and its business models around AI to reach that stage, but that will not happen immediately,” Martens said.

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Global movement to protect kids online fuels a wave of AI safety tech

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Global movement to protect kids online fuels a wave of AI safety tech

Spotify, Reddit and X have all implemented age assurance systems to prevent children from being exposed to inappropriate content.

STR | Nurphoto via Getty Images

The global online safety movement has paved the way for a number of artificial intelligence-powered products designed to keep kids away from potentially harmful things on the internet.

In the U.K., a new piece of legislation called the Online Safety Act imposes a duty of care on tech companies to protect children from age-inappropriate material, hate speech, bullying, fraud, and child sexual abuse material (CSAM). Companies can face fines as high as 10% of their global annual revenue for breaches.

Further afield, landmark regulations aimed at keeping kids safer online are swiftly making their way through the U.S. Congress. One bill, known as the Kids Online Safety Act, would make social media platforms liable for preventing their products from harming children — similar to the Online Safety Act in the U.K.

This push from regulators is increasingly causing something of a rethink at several major tech players. Pornhub and other online pornography giants are blocking all users from accessing their sites unless they go through an age verification system.

Porn sites haven’t been alone in taking action to verify users ages, though. Spotify, Reddit and X have all implemented age assurance systems to prevent children from being exposed to sexually explicit or inappropriate materials.

Such regulatory measures have been met with criticisms from the tech industry — not least due to concerns that they may infringe internet users’ privacy.

Digital ID tech flourishing

At the heart of all these age verification measures is one company: Yoti.

Yoti produces technology that captures selfies and uses artificial intelligence to verify someone’s age based on their facial features. The firm says its AI algorithm, which has been trained on millions of faces, can estimate the age of 13 to 24-year-olds within two years of accuracy.

The firm has previously partnered with the U.K.’s Post Office and is hoping to capitalize on the broader push for government-issued digital ID cards in the U.K. Yoti is not alone in the identity verification software space — other players include Entrust, Persona and iProov. However, the company has been the most prominent provider of age assurance services under the new U.K. regime.

“There is a race on for child safety technology and service providers to earn trust and confidence,” Pete Kenyon, a partner at law firm Cripps, told CNBC. “The new requirements have undoubtedly created a new marketplace and providers are scrambling to make their mark.”

Yet the rise of digital identification methods has also led to concerns over privacy infringements and possible data breaches.

“Substantial privacy issues arise with this technology being used,” said Kenyon. “Trust is key and will only be earned by the use of stringent and effective technical and governance procedures adopted in order to keep personal data safe.”

Read more CNBC tech news

Rani Govender, policy manager for child safety online at British child protection charity NSPCC, said that the technology “already exists” to authenticate users without compromising their privacy.

“Tech companies must make deliberate, ethical choices by choosing solutions that protect children from harm without compromising the privacy of users,” she told CNBC. “The best technology doesn’t just tick boxes; it builds trust.”

Child-safe smartphones

The wave of new tech emerging to prevent children from being exposed to online harms isn’t just limited to software.

Earlier this month, Finnish phone maker HMD Global launched a new smartphone called the Fusion X1, which uses AI to stop kids from filming or sharing nude content or viewing sexually explicit images from the camera, screen and across all apps.

The phone uses technology developed by SafeToNet, a British cybersecurity firm focused on child safety.

Finnish phone maker HMD Global’s new smartphone uses AI to prevent children from being exposed nude or sexually explicit images.

HMD Global

“We believe more needs to be done in this space,” James Robinson, vice president of family vertical at HMD, told CNBC. He stressed that HMD came up with the concept for children’s devices prior to the Online Safety Act entering into force, but noted it was “great to see the government taking greater steps.”

The release of HMD’s child-friendly phone follows heightened momentum in the “smartphone-free” movement, which encourages parents to avoid letting their children own a smartphone.

Going forward, the NSPCC’s Govender says that child safety will become a significant priority for digital behemoths such as Google and Meta.

The tech giants have for years been accused of worsening mental health in children and teens due to the rise of online bullying and social media addiction. They in return argue they’ve taken steps to address these issues through increased parental controls and privacy features.

“For years, tech giants have stood by while harmful and illegal content spread across their platforms, leaving young people exposed and vulnerable,” she told CNBC. “That era of neglect must end.”

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‘AI may eat software,’ but several tech names just wrapped a huge week

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'AI may eat software,' but several tech names just wrapped a huge week

A banner for Snowflake Inc. is displayed at the New York Stock Exchange to celebrate the company’s initial public offering on Sept. 16, 2020.

Brendan McDermid | Reuters

MongoDB’s stock just closed out its best week on record, leading a rally in enterprise technology companies that are seeing tailwinds from the artificial intelligence boom.

In addition to MongoDB’s 44% rally, Pure Storage soared 33%, its second-sharpest gain ever, while Snowflake jumped 21%. Autodesk rose 8.4%.

Since generative AI started taking off in late 2022 following the launch of OpenAI’s ChatGPT, the big winners have been Nvidia, for its graphics processing units, as well as the cloud vendors like Microsoft, Google and Oracle, and companies packaging and selling GPUs, such as Dell and Super Micro Computer.

For many cloud software vendors and other enterprise tech companies, Wall Street has been waiting to see if AI will be a boon to their business, or if it might displace it.

Quarterly results this week and commentary from company executives may have eased some of those concerns, showing that the financial benefits of AI are making their way downstream.

MongoDB CEO Dev Ittycheria told CNBC’s “Squawk Box” on Wednesday that enterprise rollouts of AI services are happening, but slowly.

“You start to see deployments of agents to automate back office, maybe automate sales and marketing, but it’s still not yet kind of full force in the enterprise,” Ittycheria said. “People want to see some wins before they deploy more investment.”

Revenue at MongoDB, which sells cloud database services, rose 24% from a year earlier to $591 million, sailing past the $556 million average analyst estimate, according to LSEG. Earnings also exceeded expectations, as did the company’s full-year forecast for profit and revenue.

MongoDB CEO Dev Ittycheria on Q2 results: The opportunity in front of us is massive

MongoDB said in its earnings report that it’s added more than 5,000 customers year-to-date, “the highest ever in the first half of the year.”

“We think that’s a good sign of future growth because a lot of these companies are AI native companies who are coming to MongoDB to run their business,” Ittycheria said.

Pure Storage enjoyed a record pop on Thursday, when the stock jumped 32% to an all-time high.

The data storage management vendor reported quarterly results that topped estimates and lifted its guidance for the year. But what’s exciting investors the most is early returns from Pure’s recent contract with Meta. Pure will help the social media company manage its massive storage needs efficiently with the demands of AI.

Pure said it started recognizing revenue from its Meta deployments in the second quarter, and finance chief Tarek Robbiati said on the earnings call that the company is seeing “increased interest from other hyperscalers” looking to replace their traditional storage with Pure’s technology.

‘Banger of a report’

Reports from MongoDB and Pure landed the same week that Nvidia announced quarterly earnings, and said revenue soared 56% from a year earlier, marking a ninth-straight quarter of growth in excess of 50%.

Nvidia has emerged as the world’s most-valuable company by selling advanced AI processors to all of the infrastructure providers and model developers.

While growth at Nvidia has slowed from its triple-digit rate in 2023 and 2024, it’s still expanding at a much faster pace than its megacap peers, indicating that there’s no end in sight when it comes to the expansive AI buildouts.

“It was a banger of a report,” said Brad Gerstner CEO of Altimeter Capital, in an interview with CNBC’s “Halftime Report” on Thursday. “This company is accelerating at scale.”

Read more CNBC tech news

Data analytics vendor Snowflake talked up its Snowflake AI data cloud in its quarterly earnings report on Wednesday.

Snowflake shares popped 20% following better-than-expected earnings and revenue. The company also boosted its guidance for the year for product revenue, and said it has more than 6,100 customers using Snowflake AI, up from 5,200 during the prior quarter.

“Our progress with AI has been remarkable,” Snowflake CEO Sridhar Ramaswamy said on the earnings call. “Today, AI is a core reason why customers are choosing Snowflake, influencing nearly 50% of new logos won in Q2.”

Autodesk, founded in 1982, has been around much longer than MongoDB, Pure Storage or Snowflake. The company is known for its AutoCAD software used in architecture and construction.

The company has underperformed the broader tech sector of late, and last year activist investor Starboard Value jumped into the stock to push for improvements in operations and financial performance, including cost cuts. In February, Autodesk slashed 9% of its workforce, and two months later the company settled with Starboard, adding two newcomers to its board.

The stock is still trailing the Nasdaq for the year, but climbed 9.1% on Friday after Autodesk reported results that exceeded Wall Street estimates and increased its full-year revenue guidance.

Last year, Autodesk introduced Project Bernini to develop new AI models and create what it calls “AI‑driven CAD engines.”

On Thursday’s earnings call, CEO Andrew Anagnost was asked what he’s most excited about across his company’s product portfolio when it comes to AI.

Anagnost touted the ability of Autodesk to help customers simplify workflow across products and promoted the Autodesk Assistant as a way to enhance productivity through simple prompts.

He also addressed the elephant in the room: The existential threat that AI presents.

“AI may eat software,” he said, “but it’s not gonna eat Autodesk.”

WATCH: Autodesk CEO on Q2 earnings

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Meta changes teen AI chatbot responses as Senate begins probe into ‘romantic’ conversations

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Meta changes teen AI chatbot responses as Senate begins probe into 'romantic' conversations

Meta Platforms CEO Mark Zuckerberg departs after attending a Federal Trade Commission trial that could force the company to unwind its acquisitions of messaging platform WhatsApp and image-sharing app Instagram, at U.S. District Court in Washington, D.C., U.S., April 15, 2025.

Nathan Howard | Reuters

Meta on Friday said it is making temporary changes to its artificial intelligence chatbot policies related to teenagers as lawmakers voice concerns about safety and inappropriate conversations.

The social media giant is now training its AI chatbots so that they do not generate responses to teenagers about subjects like self-harm, suicide, disordered eating and avoid potentially inappropriate romantic conversations, a Meta spokesperson confirmed.

The company said AI chatbots will instead point teenagers to expert resources when appropriate.

“As our community grows and technology evolves, we’re continually learning about how young people may interact with these tools and strengthening our protections accordingly,” the company said in a statement.

Additionally, teenage users of Meta apps like Facebook and Instagram will only be able to access certain AI chatbots intended for educational and skill-development purposes.

The company said it’s unclear how long these temporary modifications will last, but they will begin rolling out over the next few weeks across the company’s apps in English-speaking countries. The “interim changes” are part of the company’s longer-term measures over teen safety.

TechCrunch was first to report the change.

Last week, Sen. Josh Hawley, R-Mo., said that he was launching an investigation into Meta following a Reuters report about the company permitting its AI chatbots to engage in “romantic” and “sensual” conversations with teens and children.

Read more CNBC tech news

The Reuters report described an internal Meta document that detailed permissible AI chatbot behaviors that staff and contract workers should take into account when developing and training the software.  

In one example, the document cited by Reuters said that a chatbot would be allowed to have a romantic conversation with an eight-year-old and could tell the minor that “every inch of you is a masterpiece – a treasure I cherish deeply.”

A Meta spokesperson told Reuters at the time that “The examples and notes in question were and are erroneous and inconsistent with our policies, and have been removed.”

Most recently, the nonprofit advocacy group Common Sense Media released a risk assessment of Meta AI on Thursday and said that it should not be used by anyone under the age of 18, because the “system actively participates in planning dangerous activities, while dismissing legitimate requests for support,” the nonprofit said in a statement.

“This is not a system that needs improvement. It’s a system that needs to be completely rebuilt with safety as the number-one priority, not an afterthought,” said Common Sense Media CEO James Steyer in a statement. “No teen should use Meta AI until its fundamental safety failures are addressed.”

A separate Reuters report published on Friday found “dozens” of flirty AI chatbots based on celebrities like Taylor Swift, Scarlett Johansson, Anne Hathaway and Selena Gomez on Facebook, Instagram and WhatsApp.

The report said that when prompted, the AI chatbots would generate “photorealistic images of their namesakes posing in bathtubs or dressed in lingerie with their legs spread.”

A Meta spokesperson told CNBC in a statement that “the AI-generated imagery of public figures in compromising poses violates our rules.”

“Like others, we permit the generation of images containing public figures, but our policies are intended to prohibit nude, intimate or sexually suggestive imagery,” the Meta spokesperson said. “Meta’s AI Studio rules prohibit the direct impersonation of public figures.”

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