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In this photo illustration, Cerebras Systems logo is seen on...
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Weird Money

Is it bad to rely on one customer for 87% of your revenue? An AI company that’s going public is about to find out

If Nvidia takes heat for relying on just four companies for nearly half its revenue, that’s not a great sign for Cerebras.

Jack Raines

Investors have long been waiting for the proverbial IPO window to reopen, and chipmaker Cerebras Systems may be the answer to their prayers. On Monday, Cerebras, an AI chip maker, filed its S-1 to prepare for an IPO, hoping to capitalize on investor optimism in the sector by joining the public markets. However, Cerebras’s S-1 reveals some glaring issues that I’d like to discuss.

In case you’re unfamiliar with Cerebras (I was), it is the creator of the world’s largest semiconductor. While other chip makers have created smaller and smaller chips over time, Cerebras went big, literally, and its chips are the size of a dinner plate. This larger size provides processing power advantages: While Nvidia’s latest Blackwell chips have 200 billion transistors, Cerebras’s chips have 4 trillion transistors. Additionally, while Nvidia chips are heavily reliant on external memory, Cerebras’s chips host memory directly on the chip, allowing its products to more quickly complete AI inference tasks (inference is the process of using pre-trained AI models to make predictions. The other primary AI function is “training, where a model is taught how to perform a task). Cerebras claims that its chips can complete inference tasks 20 times faster than Nvidia’s GPUs.

That’s great, right? If Cerebras’s chips are 20 times faster than competitors’ products, you would think that big tech companies would be knocking down their door to buy as many as possible. But that hasn’t been happening. While tech giants like Microsoft, Meta, and Alphabet are spending billions on Nvidia’s chips, 87% of Cerebras’s revenue comes from “G42,” an Abu Dhabi-based AI company founded in 2018.

Critics have flagged Nvidia’s revenue concentration as a risk, noting that almost half of Nvidia’s revenue comes from just four customers, but Cerebras’s revenue concentration makes this look like child’s play. And Nvidia’s biggest customers are the largest tech companies in the world, not a six-year-old company based in Abu Dhabi. Cerebras mentioned “G42” an incredible 301 times in its S-1, noting in its risk section:

We currently generate a significant majority of our revenue from one customer, G42, and a significant portion of our revenue from a limited number of customers. A reduction in demand from, or a material adverse development in our relationship with, G42 or any of our other significant customers may harm our business, financial condition, results of operations, and prospects.

The S-1 filing shows that G42 also owns a ~1% stake in Cerebras after investing in the company’s 2021 Series F, and Cerebras has granted its primary customer some… favorable terms to expand its investment. Cerebras listed a separate “Class N” stock offering reserved for G42, allowing the company to purchase $335 million in shares at $14.66 per share, a discount to its Series F price of $27.74 per share in December 2021, and G42 also has the right to purchase Class A shares at a 17.5% discount to their fair market value.

I know everyone wants to invest in the next hot AI company, and plenty of investors will probably be willing to overlook customer concentration risk, especially when that company’s revenue increased from $8.7 million through the first six months of 2023 to $136.4 million in the same period in 2024. That being said, I do think it’s worth proceeding with caution given Cerebras’s dependence on, and weird relationship with, its top customer.

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SpaceX reportedly plans to IPO in mid-June, chooses to list on Nasdaq

Elon Musk’s aerospace and satellite manufacturer, SpaceX, could price its initial public offering as soon as June 11 and make its public market debut on June 12, Reuters reported Friday. SpaceX is preparing for a monster IPO, reportedly aiming to raise $75 billion at a record $1.75 trillion valuation.

Sources familiar with the matter told Reuters that Musk’s company had chosen to list on the Nasdaq.

SpaceX is moving through its IPO timeline and is said to be ready to hit the road to secure commitments from investors around June 4, according to Reuters.

SpaceX did not immediately respond to requests for comment.

Go Deeper: What happens to Tesla stock when SpaceX goes public?

markets

Figma spikes after raising full-year sales outlook as the software company leverages AI for growth

Figma jumped postmarket Thursday after posting impressive sales in Q1, surpassing Wall Street expectations and raising its full-year guidance. The key numbers:

  • Q1 revenue of $333.4 million (compared to analyst estimates of $316 million).

  • Q2 sales guidance of $348 million to $350 million (estimate: $329.7 million).

  • Full-year revenue between $1.422 billion and $1.428 billion (up from previous guidance of $1.37 billion).

The digital design software firm is the latest company to diminish investor fears about AI-induced disruption by making the technology work for them. Like Atlassian or Datadog, Figma said it was able to use AI to its advantage, bringing more customers on board and getting them to spend more.

In the press release, Praveer Melwani, Figma CFO, said:

As AI gets better, Figma is accelerating and customer usage and workflows on our platform are deepening. Our platform and AI products drove faster growth for both new customer acquisition and expansion within existing accounts.

Revenue grew 46% year over year in Q1 2026, an acceleration from growth of 40% in Q4 2025.

markets
Luke Kawa

Infleqtion reports Q1 adjusted loss, offers modest boost to full-year sales guidance

Infleqtion is falling in postmarket trading after reporting a Q1 adjusted loss from operations of $13.2 million and sales of $9.5 million.

Management modestly upgraded its sales guidance to “at least” $40 million for 2026, adding that language to enhance the target provided in early April. Revenues of $40 million would mark an increase of roughly 23% compared to the $32.5 million generated in 2025, and an acceleration from growth of 12% last year.

The company utilizes neutral-atom technology to make quantum sensors used in clocks and antennas in addition to computers.

“Q1 reinforced our confidence that quantum is gaining momentum as the market shifts toward deployable systems, real applications, and measurable customer value,” said CEO Matt Kinsella. “Across computing, sensing, and software, we are seeing expanding customer activity especially in national security, space, and hybrid quantum-AI applications.”

Shares are roughly flat since February 13, which is just before the company went public via a SPAC, after being down 35% near the end of March, and then up nearly 30% in mid-April.

The quantum computing space benefited from the return of speculative appetite in April after the US and Iran agreed to a ceasefire. The cohort was later bolstered after Nvidia unveiled a suite of open models designed to leverage AI to improve calibration and error correction for quantum computers.

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Luke Kawa

Applied Materials rallies after better-than-expected Q2 results, strong sales guidance

Shares of Applied Materials are gaining in postmarket trading after the company reported robust Q2 results and a sales outlook that indicate building momentum.

  • Net sales: $7.9 billion (compared to analyst estimates of $7.7 billion and guidance for $7.65 billion, plus or minus $500 million).

  • Adjusted earnings per share: $2.86 (estimate: $2.68, guidance: $2.68, plus or minus $0.20).

For Q3, the company anticipates net sales of $8.95 billion (plus or minus $500 million; estimate: $8.15 billion) with adjusted EPS of $3.36 (plus or minus $0.20; estimate: $2.88).

“The growth in AI that Applied has been investing for is now in full force,” CFO Brice Hill said in the press release.

Management has consistently indicated that it expects demand to pick up in the second half of this year, but its first-half results have already blown away expectations by a wide margin. All this appetite for semiconductors to support AI compute is fantastic news for companies like Applied Materials that make the equipment to produce these specialized chips.

Shares of Applied Materials closed near a record high ahead of this report, up more than 70% year to date.

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