All 11 xAI co-founders have now left Elon Musk’s AI company


Every co-founder Elon Musk recruited to build xAI has now reportedly left the company. Manuel Kroiss, who led the pretraining team, told people this month that he was departing. Ross Nordeen, described by Business Insider as Musk’s “right-hand operator,” left on Friday. They were the last two of eleven co-founders, all of whom have exited a company that was valued at $250 billion when SpaceX acquired it in February and that Musk himself described two weeks ago as having been “not built right the first time around.”

The departures are not ordinary startup attrition. The researchers Musk assembled in 2023 were among the most accomplished in artificial intelligence. Jimmy Ba co-authored the 2014 Adam optimisation paper, the most-cited paper in AI with more than 95,000 citations. Igor Babuschkin, the chief engineer, came from Google DeepMind. Christian Szegedy came from Google. Tony Wu led the reasoning team. Greg Yang, Toby Pohlen, Zihang Dai, Guodong Zhang, and Kyle Kosic brought experience from DeepMind, Google, Microsoft, and OpenAI. That entire cohort is now gone, and the company they helped build is being, in Musk’s words, “rebuilt from the foundations up.”

A timeline of unravelling

The exodus accelerated sharply in early 2026. Christian Szegedy left in February 2025, an early signal. But the cascade began in earnest when Tony Wu, one of the most operationally central co-founders, announced his departure on February 10, 2026. Jimmy Ba resigned within 24 hours, reportedly amid tensions over demands to improve model performance. By mid-March, only Kroiss and Nordeen remained. Their departures this week complete the sweep.

The timing is difficult to separate from the corporate restructuring happening around xAI. On February 2, SpaceX acquired xAI in an all-stock transaction that valued SpaceX at $1 trillion and xAI at $250 billion, creating a combined entity worth $1.25 trillion, the largest corporate merger by valuation in history. The deal brought xAI, X (formerly Twitter), and SpaceX under a single corporate umbrella, with SpaceX now preparing for a potential IPO in mid-2026 that could target a $1.75 trillion valuation.

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!

Weeks earlier, in January, Tesla invested $2 billion in xAI’s Series E round at an approximate $230 billion valuation. Tesla shareholders are suing Musk for breach of fiduciary duty over the investment, arguing that the company’s chief executive effectively directed shareholder capital into his own private venture. The lawsuit gained additional force on March 13, when Musk publicly acknowledged that xAI’s products, particularly its coding tools, were not competitive with Anthropic’s Claude Code or OpenAI’s Codex. Tesla had invested $2 billion in a company whose founder admitted it needed to be rebuilt from scratch.

What “not built right” means at $250 billion

Musk’s admission on March 13 was unusually candid for a chief executive whose company had just been acquired for a quarter of a trillion dollars. He said xAI’s AI coding tools simply did not work, and that the underlying system needed to be rebuilt. The statement appeared to validate the co-founders’ decision to leave: if the company’s own leadership acknowledges that the product failed, the researchers who built it have limited incentive to stay for the rebuild, particularly when they can command extraordinary compensation at competitors.

The AI talent market in 2026 is the most competitive it has ever been. Meta has reportedly offered packages worth up to $300 million over four years to retain top AI researchers. OpenAI, Google DeepMind, and Anthropic are all expanding their research teams aggressively. The eleven researchers who left xAI represent a concentration of talent that any of those companies would pay handsomely to acquire. Where they end up will say as much about the industry’s future direction as their departure says about xAI’s past.

xAI is not without assets. The Colossus supercomputer, built with more than 200,000 NVIDIA H100 GPUs, remains one of the largest AI training clusters in the world. Grok, the company’s chatbot, has a distribution channel through X’s user base. And the SpaceX merger provides access to capital, infrastructure, and engineering talent at a scale that few AI companies can match. The question is whether infrastructure and distribution are sufficient when the research leadership that was supposed to make the product competitive has entirely departed.

The pattern

The xAI co-founder exodus follows a pattern that has repeated across Musk’s companies. Twitter lost the majority of its senior leadership and roughly 80 per cent of its workforce within months of his 2022 acquisition. Tesla’s senior ranks have thinned steadily as Musk’s attention has divided across six companies. The common thread is a management style that produces extraordinary results in hardware engineering, where Musk’s tolerance for risk and pace of iteration have built SpaceX and Tesla into industry-defining companies, but appears less effective in research-driven fields where the most valuable people have abundant alternatives and low tolerance for instability.

Artificial intelligence research is, in 2026, the most competitive labour market in technology. The researchers who co-founded xAI did not need to be there. They chose to be, attracted by the resources Musk could deploy and the ambition of the project. That every one of them has now chosen to leave, during a period when the company received a $250 billion valuation and access to the resources of SpaceX, suggests that the problems at xAI are not principally financial or infrastructural. They are organisational. And no amount of capital can rebuild a research culture once the people who created it have gone.



Source link

Leave a Reply

Subscribe to Our Newsletter

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

Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



Source link