LISBON, Portugal — Tech giants are increasingly investing in the development of so-called “sovereign” artificial intelligence models as they seek to boost competitiveness by focusing more on local infrastructure.
Data sovereignty refers to the idea that people’s data should be stored on infrastructure within the country or continent they reside in.
“Sovereign AI is a relatively new term that’s emerged in the last year or so,” Chris Gow, IT networking giant Cisco’s Brussels-based EU public policy lead, told CNBC.
Currently, many of the biggest large language models (LLMs), like OpenAI’s ChatGPT and Anthropic’s Claude, use data centers based in the U.S. to store data and process requests via the cloud.
This has led to concern from politicians and regulators in Europe, who see dependence on U.S. technology as harmful to the continent’s competitiveness — and, more worryingly, technological resilience.
Where did ‘AI sovereignty’ come from?
The notion of data and technological sovereignty is something that has previously been on Europe’s agenda. It came about, in part, as a result of businesses reacting to new regulations.
The European Union’s General Data Protection Regulation, for example, requires companies to handle user data in a secure, compliant way that respects their right to privacy. High-profile cases in the EU have also raised doubts over whether data on European citizens can be transferred across borders safely.
The European Court of Justice in 2020 invalidated an EU-U.S. data-sharing framework, on the grounds that the pact did not afford the same level of protection as guaranteed within the EU by the General Data Protection Regulation (GDPR). Last year the EU-U.S. Data Privacy Framework was formed to ensure that data can flow safely between the EU and U.S.
These political development have ultimately resulted in a push toward localization of cloud infrastructure, where data is stored and processed for many online services.
Filippo Sanesi, global head of marketing and operations at OVHCloud, said the French cloud firm is seeing lots of demand for its European-located infrastructure, as they “understand the value of having their data in Europe, which are subject to European legislation.”
“As this concept of data sovereignty becomes more mature and people understand what it means, we see more and more companies understanding the importance of having your data locally and under a specific jurisdiction and governance,” Sanesi told CNBC. “We have a lot of data,” he added. “This data is sovereign in specific countries, under specific regulations.”
“Now, with this data, you can actually make products and services for AI, and those services should then be sovereign, should be controlled, deployed and developed locally by local talent for the local population or businesses.”
The AI sovereignty push hasn’t been driven forward by regulators — at least, not yet, according to Cisco’s Gow. Rather, it’s come from private companies, which are opening more data centers — facilities containing vast amounts of computing equipment to enable cloud-based AI tools — in Europe, he said.
Sovereign AI is “more driven by the industry naming it that, than it is from the policymakers’ side,” Gow said. “You don’t see the ‘AI sovereignty’ terminology used on the regulator side yet.”
Countries are pushing the idea of AI sovereignty because they recognize AI is “the future” and a “massively strategic technology,” Gow said.
Governments are focusing on boosting their domestic tech companies and ecosystems, as well as the all-important backend infrastructure that enables AI services.
“The AI workload uses 20 times the bandwidth of a traditional workload,” Gow said. It’s also about enabling the workforce, according to Gow, as firms need skilled workers to be successful.
Most important of all, however, is the data. “What you’re seeing is quite a few attempts from that side to think about training LLMs on localized data, in language,” Gow said.
The aim of the Italia project is to store results in a given jurisdiction and rely on data from citizens within that region so that results produced by the AI systems there are more grounded in local languages, culture and history.
“Sovereign AI is about reflecting the values of an organization or, equally, the country that you’re in and the values and the language,” David Hogan, EMEA head of enterprise sales for chipmaking giant Nvidia, told CNBC.
“The core challenge is that most of the frontier models today have been trained primarily on Western data generally,” Hogan added.
In Denmark for example, where Nvidia has a major presence, officials are concerned about vital services such as health care and telecoms being delivered by AI systems that aren’t “reflective” of local Danish culture and values, according to Hogan.
On Wednesday, Denmark laid out a landmark white paper outlining how companies can use AI in compliance with the incoming EU AI Act — the world’s first major AI law. The document is meant to serve as a blueprint for other EU nations to follow and adopt.
“If you’re in a European country that’s not one of the major language countries that’s spoken internationally, probably less than 2% of the data is trained on your language — let alone your culture,” Hogan said.
How regulation fueled a mindset shift
That’s not to say regulations haven’t proven an important factor in getting tech giants to think more about building localized AI infrastructure within Europe.
OVHCloud’s Sanesi said regulations like the EU’s GDPR catalyzed a lot of the interest in onshoring the processing of data in a given region.
The concept of AI sovereignty is also getting buy-in from local European tech firms.
Earlier this week, Berlin-headquartered search engine Ecosia and its Paris-based peer Qwant announced a joint venture to develop a European search index from scratch, aiming to serve improved French and German language results.
Meanwhile, French telecom operator Orange has said it’s in discussions with a number of foundational AI model companies about building a smartphone-based “sovereign AI” model for its customers that more accurately reflects their own language and culture.
“It wouldn’t make sense to build our own LLMs. So there’s a lot of discussion right now about, how do we partner with existing providers to make it more local and safer?” Bruno Zerbib, Orange’s chief technology officer, told CNBC.
“There are a lot of use cases where [AI data] can be processed locally [on a phone] instead of processed on the cloud,” Zerbib added. Orange hasn’t yet selected a partner for these sovereign AI model ambitions.
Dina Powell McCormick, who was a member of President Donald Trump’s first administration, has resigned from Meta’s board of directors.
Powell McCormick, who previously spent 16 years working at Goldman Sachs, notified Meta of her resignation on Friday, according to a filing with the SEC. The filing did not disclose why McCormick was stepping down from Meta’s board, but said her resignation was effective immediately.
Meta does not plan on replacing her board role, according to a person familiar with the matter who asked not to be named due to confidentiality. Powell McCormick is considering a potential strategic advisory role with Meta, but nothing has been decided, the person said.
Powell McCormick joined Meta’s board in April along with Stripe co-founder and CEO Patrick Collison. Meta CEO Mark Zuckerberg said in a statement at the time that the two executives “bring a lot of experience supporting businesses and entrepreneurs to our board.”
Powell McCormick served as a deputy national security advisor to President Trump during his first stint in office and was also an assistant secretary of state during President George W. Bush’s administration.
She is married to Sen. Dave McCormick, R-Pa, who took office in January.
Powell McCormick is the vice chair, president and head of global client services at BDT & MSD Partners, which formed in 2023 after the merchant bank BDT combined with Michael Dell’s investment firm MSD.
With her departure, Meta now has 14 board members, including UFC CEO Dana White, Broadcom CEO Hock Tan and former Enron executive John Arnold.
Elon Musk‘s 2018 CEO pay package from Tesla, worth some $56 billion when it vested, must be restored, the Delaware Supreme Court ruled Friday.
“We reverse the Court of Chancery’s rescission remedy and award $1 in nominal damages,” the judges wrote in their opinion.
In the decision, the Delaware Supreme Court judges said a lower court’s decision to cancel Musk’s 2018 pay plan was too extreme a remedy and that the lower court did not give Tesla a chance to say what a fair compensation ought to be.
The decision on the appeal in this case, known as Tornetta v. Musk, likely ends the yearslong fight over Musk’s record-setting compensation.
Musk’s net worth is currently estimated at around $679.4 billion, according to the Forbes Real Time Billionaires List.
Dorothy Lund, a professor at Columbia Law School, told CNBC that while the Friday opinion may restore the 2018 pay plan for Musk, it leaves the rest of the lower court’s decision unaddressed and intact.
“The court had previously decided that Musk was a controlling shareholder of Tesla and that the Tesla board and he arranged an unfair pay plan for him,” she said. “None of that was reversed in this decision.”
“We are proud to have participated in the historic verdict below, calling to account the Tesla board and its largest stockholder for their breaches of fiduciary duty,” lawyers representing plaintiff Richard J. Tornetta said in an e-mailed statement.
Tesla did not immediately respond to requests for comment.
The Delaware Supreme Court issued the order per curiam with no single judge taking credit for writing the opinion and no dissent noted.
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Musk’s 2018 CEO pay package from Tesla, comprised of 12 milestone-based tranches of stock, was unprecedented at the time it was proposed. After it was granted, the pay plan made Musk the wealthiest individual in the world.
Tesla shareholder Tornetta sued Tesla, filing a derivative action in 2018, accusing Musk and the company’s board of a breach of their fiduciary duties.
Delaware’s business-specialized Court of Chancery decided in January 2024 that the pay plan was improperly granted and ordered it to be rescinded.
In her decision, Chancellor Kathaleen McCormick also found that Musk “controlled Tesla,” and that the process leading to the board’s approval of his 2018 pay plan was “deeply flawed.”
Among other things, she found the Tesla board did not disclose all the material information they should have to investors before asking them to vote on and approve the plan.
After the earlier Tornetta ruling, Musk moved Tesla’s site of incorporation out of Delaware, bashed McCormick by name in posts on his social network X, formerly Twitter, where he has tens of millions of followers, and called for other entrepreneurs to reincorporate outside of the state.
Tesla also attempted to “ratify” the 2018 CEO pay plan by holding a second vote with shareholders in 2024.
In November, Tesla shareholders voted to approve an even larger CEO compensation plan for Musk.
The 2025 pay plan consists of 12 tranches of shares to be granted to the CEO if Tesla hits certain milestones over the next decade and is worth about $1 trillion in total. The new plan could also increase Musk’s voting power over the company from around 13% today to around 25%.
Shareholders had also approved a plan to replace Musk’s 2018 CEO pay if the Tornetta decision was upheld on appeal. That plan is now nullified.
As CNBC previously reported, a law firm that currently represents Tesla in this appeal penned a bill to overhaul corporate law in Delaware earlier this year. The bill was passed by the Delaware legislature in March, and if it had applied retroactively, it could have affected the outcome of this case.
Every weekday, the CNBC Investing Club with Jim Cramer holds a “Morning Meeting” livestream at 10:20 a.m. ET. Here’s a recap of Friday’s key moments. 1. Stocks were higher Friday, led by a rebound in Big Tech as the AI trade attempted to regain momentum. Nvidia stock jumped nearly 3% after Bernstein noted it is trading at 25 times forward earnings, landing it in the eleventh percentile of valuation over the past decade. That’s cheap for the AI chip leader. Market strength carried across the semiconductor group, with Broadcom , AMD , and Micron all charging higher. A stock that did not participate in the rally was Nike . Shares of the sneaker and sportswear maker are down 9.5% a day after it reported solid earnings results but disappointing guidance. 2. Jim also highlighted the standout year for Wells Fargo under CEO Charlie Scharf. “Don’t bet against Charlie,” he said after The Wall Street Journal reported late Thursday that the bank climbed to No. 7 in the U.S. M & A league table, compared to No. 14 last year. The bank advised on high-profile deals, including Netflix ‘s bid for Warner Brothers and Union Pacific ‘s bid for Norfolk Southern . Financial stocks have been on a tear this year, prompting us on Friday to trim our position in Capital One and lock in significant gains. On Thursday, we increased the price target for Capital One to $270 from $250 and downgraded our rating to a 2. In addition, we increased Goldman Sachs ‘ price target to $925 from $850 and Wells Fargo’s price target to $96 from $90. 3. Boeing shares climbed 2.6% on Friday after JPMorgan reiterated the stock as a top pick while increasing its price target to $245 from $240, implying a 15% upside from its current price of $213 per share. Analysts argue the aerospace manufacturer’s path to growth is simple: build more planes and deliver them. While cash flow expectations have come down, JPMorgan believes there’s visibility to at least $10 billion by the end of the decade. Jim said he likes Friday’s stock price for a buy. He called Boeing a “long-term idea” given the strength in travel. 4. Stocks covered in Friday’s rapid fire at the end of the video were: FedEx , Conagra Brands , KB Home , Oracle , and CoreWeave . (Jim Cramer’s Charitable Trust is long NVDA, AVGO, WFC, GS, COF, BA. See here for a full list of the stocks.) As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. Jim waits 45 minutes after sending a trade alert before buying or selling a stock in his charitable trust’s portfolio. If Jim has talked about a stock on CNBC TV, he waits 72 hours after issuing the trade alert before executing the trade. THE ABOVE INVESTING CLUB INFORMATION IS SUBJECT TO OUR TERMS AND CONDITIONS AND PRIVACY POLICY , TOGETHER WITH OUR DISCLAIMER . NO FIDUCIARY OBLIGATION OR DUTY EXISTS, OR IS CREATED, BY VIRTUE OF YOUR RECEIPT OF ANY INFORMATION PROVIDED IN CONNECTION WITH THE INVESTING CLUB. NO SPECIFIC OUTCOME OR PROFIT IS GUARANTEED.