OpenAI wants its legal fees from xAI, while Apple comes for OpenAI



On Monday, OpenAI asked a federal judge in California to rule that xAI’s trade secrets lawsuit against it “should never have been filed,” and to make Elon Musk’s company cover more than $1m in legal expenses.

The filing landed hours after xAI gave notice that it intends to appeal. The case has been dismissed twice; It is now being appealed once and billed for.

xAI sued OpenAI in the Northern District of California in 2025, alleging that its rival had poached engineers and encouraged them to bring confidential information with them, with the complaint centring on Xuechen Li, a former xAI engineer.

In February, Judge Rita Lin granted OpenAI’s motion to dismiss the amended complaint, but gave xAI until mid-March to try again.

xAI tried again, adding allegations that OpenAI had encouraged a newly hired employee to discuss work done at his previous employer.

On 15 June, Lin dismissed the claims a second time, this time without leave to amend, finding that the complaint rested on speculation and at most described the passive receipt of information, which is not misappropriation under the Defend Trade Secrets Act.

Her characterisation, per the courthouse record, was that xAI had tried to recast ordinary Silicon Valley hiring as a conspiracy. That reading is now the basis of OpenAI’s fee motion.

Which brings us to last Friday, and the reason all of this is suddenly funny.

On 10 July, Apple sued OpenAI in the same federal district, accusing it of stealing hardware trade secrets to build consumer devices.

The complaint alleges theft “at every level, from members of its Technical Staff to its Chief Hardware Officer, and in coordination with business partners.”

That chief hardware officer is Tang Tan, who spent 24 years at Apple, latterly as vice-president of product design for the iPhone and Apple Watch.

Apple claims he directed Apple staff interviewing at OpenAI to bring digital designs and prototypes to what the filing calls “show and tell” sessions.

The suit also names Chang Liu, an eight-year Apple senior systems electrical engineer, who is alleged to have kept his Apple laptop after leaving for OpenAI and used it to download confidential technical documents.

More than 400 former Apple employees now work at OpenAI, according to the filing, which describes the evidence so far as “the tip of the iceberg.”

Apple is seeking an injunction against evidence destruction, the return of its trade secrets, and damages. OpenAI has said it has “no interest in other companies’ trade secrets” and is “focused on building innovative technology.”

Fee awards of this kind are not handed out for losing. The Defend Trade Secrets Act allows a court to make the losing side pay where a misappropriation claim was brought in bad faith, which is a considerably higher bar than being wrong twice in front of the same judge.

OpenAI is asking Judge Lin to make that finding against a company whose founder has spent the past year calling it, in various registers, a fraud.

The two cases turn on almost identical questions. Whether a company that hires aggressively from a rival is thereby acquiring that rival’s secrets, and what a court needs to see before it calls recruitment misappropriation.

OpenAI has spent a year arguing the narrow answer, and won. It will now argue the other side of the same line.

The relationship with Apple has been unravelling for a while. The two announced a headline Siri partnership in 2024, then drifted apart as OpenAI moved into hardware, buying Jony Ive’s io Products for $6.4bn. The lawsuit is already complicating OpenAI’s hardware plans well before any ruling.

Musk, meanwhile, has had a poor run in these courtrooms. A jury in Oakland rejected his separate suit against Sam Altman over OpenAI’s conversion to a for-profit structure, finding it had been filed too late.

xAI’s appeal now goes to the Ninth Circuit. OpenAI’s fee motion is before Judge Lin. Apple’s case has not yet been scheduled.



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