France’s antitrust probe into Nvidia is nearing its end, regulator says



France’s competition regulator has signalled that its long-running inquiry into Nvidia is drawing to a close, edging the world’s most valuable chipmaker nearer to a formal reckoning over how it wields its grip on the market for artificial intelligence hardware.

The company has long been tipped to face antitrust charges in France, and any decision could set an early European marker for how AI chips are policed.

“We are nearing the end of the investigation,” Umberto Berkani, the general rapporteur of the Autórité de la concurrence, told reporters on Thursday, in comments reported by Reuters. He offered no firm date for a ruling.

The case dates to September 2023, when French investigators raided Nvidia’s local offices as part of a broader inquiry into competition in the cloud computing sector. That search later hardened into a dedicated antitrust file focused on the chipmaker itself.

In mid-2024 the authority published a market study on competition in generative AI, warning of the industry’s dependence on Nvidia’s CUDA software, the programming layer that ties developers to its graphics processors.

Reuters reported later that year that the regulator was preparing to charge the company, which would have made France the first authority anywhere to do so.

Two threads sit at the centre of the inquiry. One is that reliance on CUDA, which remains the only toolkit fully compatible with the GPUs now essential to training large AI models.

The other is Nvidia’s web of investments in AI cloud providers such as CoreWeave, which regulators worry could tilt an already concentrated market further in its favour. Nvidia accounts for well over 70% of AI accelerator sales by most estimates, a share some analysts expect to climb higher as each new generation of chips widens its lead.

That dominance has drawn scrutiny beyond France, with regulators in the United States, the European Union, and China all having examined aspects of its conduct. It has also fed wider unease about European AI sovereignty and the continent’s heavy reliance on American hardware.

The French case has moved slowly by design, reflecting the difficulty of applying decades-old competition law to a market that barely existed when the rules were written. A statement of objections, should one follow, is not a finding of wrongdoing. It is a formal accusation that the company can contest, and cases of this kind often take a year or more to resolve after that point.

Under French law, a company found to have abused a dominant position can be fined up to 10% of its global annual turnover, a figure that would run into billions of dollars given Nvidia’s scale. The authority can also impose behavioural remedies, or accept binding commitments that stop short of a penalty.

What comes next is procedural. If the case is judged solid, the authority’s investigation team would issue a formal statement of objections setting out its allegations, after which Nvidia would be given time to respond in writing and at an oral hearing.

A separate panel, the authority’s college, would then weigh the evidence and decide whether an infringement occurred and what sanction, if any, to apply. Berkani did not say whether charges were certain, only that the investigative phase was almost complete.

Nvidia has previously said it complies with competition rules and competes on the merits of its technology. The company did not immediately comment publicly on Thursday’s remarks.

For Europe, the stakes reach past a single fine. Policymakers across the bloc have grown increasingly anxious about the region’s dependence on a lone chip supplier, concerns that have fed into the EU’s wider tech sovereignty push. A French ruling against Nvidia, whichever way it lands, would offer one of the first concrete tests of whether antitrust tools can meaningfully shape the AI supply chain.



Source link

Leave a Reply

Subscribe to Our Newsletter

Get our latest articles delivered straight to your inbox. No spam, we promise.

Recent Reviews


TL;DR

India debates sovereign AI after the US forced Anthropic to kill Fable 5, with proposals for a $5B fund and calls to embrace open-source models.

When the US government ordered Anthropic to shut down Fable 5 and Mythos 5 on 12 June, the export control directive was aimed at restricting foreign nationals from accessing America’s most capable AI. In India, Anthropic’s second-largest market, it landed as a warning shot about what happens when your AI infrastructure runs on someone else’s politics.

The suspension cut off Indian developers and enterprises from Claude’s most advanced models overnight. India’s Claude run-rate revenue had doubled since October 2025, and Tata Consultancy Services had announced a partnership just one day earlier, on 11 June, to train 50,000 employees on Claude and build a dedicated Anthropic business unit. That deal is now in limbo.

The timing has turned what was already a simmering debate about AI sovereignty into a full strategic reckoning. Proposals that sounded ambitious a week ago now sound urgent.

The 💜 of EU tech

The latest rumblings from the EU tech scene, a story from our wise ol’ founder Boris, and some questionable AI art. It’s free, every week, in your inbox. Sign up now!

Mohandas Pai, former Infosys CFO and one of India’s most prominent tech investors, has called for a ₹50,000 crore (roughly $5 billion) annual sovereign AI fund. He has also proposed a ₹2 lakh crore (approximately $21 billion) credit guarantee to finance cloud infrastructure, hardware procurement, and semiconductor development. The figures dwarf the government’s existing commitment.

India approved its IndiaAI Mission in March 2024 with a budget of ₹10,372 crore, approximately $1.25 billion. The programme has deployed around 38,000 GPUs so far. Pai’s proposal would quadruple annual spending and add a credit backstop an order of magnitude larger.

Sridhar Vembu, the founder of Zoho, has gone further. He argued that India should embrace smaller and open-source models, including Chinese ones, rather than depend on American frontier systems that can be switched off by executive order. “Technology is the ultimate weapon,” Vembu said. “Globalization is dead and Bharat must find her own way ahead.

The argument has teeth because the suspension demonstrated exactly the vulnerability Vembu is describing. Amazon’s CEO reportedly triggered the government crackdown by telling Treasury Secretary Scott Bessent that researchers had used Fable 5 to obtain information that could be used in cyberattacks. Anthropic called the action disproportionate, but compliance was immediate and global.

Policy expert Prasanto Roy put it bluntly: “American AI models are bound to American geopolitics.” For Indian enterprises that had built workflows around Claude, the lesson was that access to frontier AI is a privilege that can be revoked without notice, without consultation, and without regard for the commercial relationships it disrupts.

The Indian startup ecosystem is already adapting. Sarvam, a Bengaluru-based AI company, released 30-billion and 105-billion parameter open-source models at the India AI Impact Summit in 2026. Krutrim, founded by Ola’s Bhavish Aggarwal, has pivoted from building foundational models to providing cloud and AI infrastructure services, reporting ₹3 billion in revenue for fiscal year 2026.

Neither company is close to matching the capabilities of Fable 5 or Mythos 5. But the argument for sovereign AI was never about matching frontier performance immediately. It is about ensuring that the floor does not fall out when Washington makes a unilateral decision about who gets to use which models.

Aakrit Vaish, founder of the AI startup Activate, said the suspension “completely changes things” for the sovereign AI debate. Vijay Rayapati, CEO of Atomicwork, raised concerns about what the precedent means for Indian companies with multi-country teams that depend on American AI providers. If the US can shut off model access to enforce export controls, any country that relies on American AI is one policy decision away from disruption.

Not everyone agrees that India needs to build its own frontier models. Hemant Mohapatra, a partner at Lightspeed Venture Partners, argued that talent and compute access matter more than capital for building competitive AI. India has the engineering workforce, but the compute gap is significant, and closing it requires either massive domestic investment or continued access to foreign cloud infrastructure.

Anthropic opened a Bengaluru office as part of its India expansion, and the TCS partnership was designed to be a cornerstone of its enterprise strategy in the country. Whether those plans survive the suspension intact depends on how quickly Anthropic can restore access and whether Indian enterprises still trust a provider whose most capable models can vanish overnight.

The broader pattern is unmistakable. The US has spent four years tightening controls on AI technology, from chip export restrictions to model-level interventions. Each escalation pushes more countries toward the conclusion that dependence on American AI infrastructure carries political risk. India, with its 1.4 billion people and rapidly growing technology sector, is now asking whether it can afford that risk, and what it would cost to eliminate it.

The Opendoor layoffs in June 2026, which shut the company’s India office and affected roughly 250 employees, added another dimension. CEO Kaz Nejatian cited AI-native teams as the reason, suggesting that some US companies are using AI to reduce their reliance on Indian engineering talent at the same time that India is debating its reliance on American AI. The relationship is becoming less complementary and more competitive.

For now, the sovereign AI proposals remain proposals. Pai’s fund has no legislative vehicle, Vembu’s call for open-source adoption has no coordinated policy framework, and the IndiaAI Mission’s GPU deployment is still in early stages.

But the Anthropic suspension has done something that years of policy papers and conference speeches could not: it has given the sovereign AI movement a concrete, recent, and viscerally felt example of why dependence on foreign AI is a strategic liability. The debate is no longer theoretical.



Source link