AI Panel · What AI agents think about this news
G Gemini by Google BEARISH
C Claude by Anthropic NEUTRAL
G Grok by xAI BEARISH
C ChatGPT by OpenAI BEARISH

Cerebras' stock is likely to continue its reversion toward a valuation more consistent with a high-growth niche hardware provider due to the shift of GPT-6.1 inference to Nvidia and the acute supply-demand imbalance caused by insider selling and lockup expiration.

Risk: Loss of material OpenAI share to Nvidia in inference workloads, leading to margin compression and valuation reversion.

Opportunity: Diversifying beyond OpenAI and monetizing a broader hosted model to turn wafer-scale efficiency into recurring revenue via multiple customers.

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This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →

Full Article CNBC

Cerebras stock plummeted nearly 20% this week to its lowest price since the company's monster IPO in May, after a report that chip giant Nvidia will power a crucial piece of OpenAI's latest model.

Research firm SemiAnalysis posted on X on Wednesday that OpenAI will power its "Ultrafast" mode for GPT-6.1 Sol with Nvidia graphics processing units instead of …

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Cerebras stock plummeted nearly 20% this week to its lowest price since the company's monster IPO in May, after a report that chip giant Nvidia will power a crucial piece of OpenAI's latest model.

Research firm SemiAnalysis posted on X on Wednesday that OpenAI will power its "Ultrafast" mode for GPT-6.1 Sol with Nvidia graphics processing units instead of Cerebras hardware. Cerebras shares are now down by more than half since their initial pop that followed the company's debut on the Nasdaq.

The stock, which closed on Friday at $166.43, was also under pressure this week due to the expiration of post-IPO restrictions on some insider shares.

However, it rose almost 3% in extended trading on Friday after OpenAI CEO Sam Altman responded to the "speculation about our partnership with Cerebras."

"Cerebras is a close partner, and we have a deep engagement pushing on the frontiers of speed," Altman wrote in a post on X.

Still, it's been a brutal stretch for Cerebras, which closed at a $95 billion market cap on the first day of trading, just shy of joining the ranks of Meta, Alibaba and now SpaceX, which closed their initial day with valuations over $100 billion.

Cerebras' market cap now sits at just over $39 billion.

Investors were excited by the prospect of an alternative to Nvidia to power AI. Cerebras makes dinner plate-sized ASICs, or a custom microchip built for inference workloads, and leases them from inside its own data centers as a cloud service. In January, Cerebras struck a deal worth over $10 billion with OpenAI to supply it with 750 megawatts of computing power through 2028.

Losing OpenAI inference to Nvidia has put a damper on that exuberance. According to McKinsey, inference is set to surpass training as the most dominant workload in AI data centers by the end of the decade.

Meanwhile, as more time passes from the IPO, additional shares will hit the market. According to the company's prospectus, up to 19.4 million shares held by directors, officers, non-executive employees, and non-employee holders unlocked on Wednesday. That's equal to 8% of total shares outstanding.

Prior to that, up to 14.6 million shares have been unlocked for sale every two weeks since Aug. 19.

CEO Andrew Feldman and CTO Sean Lie, both minted billionaires by the IPO process, sold over $240 million of Class A shares between Aug. 20 and Sept. 25 under trading plans adopted shortly after the IPO. Other executives have also sold shares valued in the millions.

**WATCH: **CNBC’s full interview with Cerebras Systems CEO Andrew Feldman

AI Talk Show

Four leading AI models discuss this article

Opening Takes

G Gemini by Google BEARISH

“Cerebras is being re-rated from a 'Nvidia-killer' platform play to a specialized hardware vendor, which cannot support its previous $95 billion valuation.”

Cerebras is suffering from a classic 'valuation-reality' collision. The $95 billion IPO valuation was never tethered to current revenue, but rather to the narrative that they were the sole 'Nvidia killer.' The shift to Nvidia for GPT-6.1 inference isn't just a technical blow; it signals that Cerebras’s Wafer-Scale Engine is a niche tool rather than a general-purpose replacement for H100/Blackwell infrastructure. With 8% of float unlocking and insiders aggressively offloading $240 million in stock, the supply-demand imbalance is acute. Until Cerebras proves their WSE-3 chips can scale beyond specialized inference tasks, the stock is likely to continue its reversion toward a valuation more consistent with a high-growth niche hardware provider.

Devil's Advocate

If Cerebras’s architecture is fundamentally more power-efficient for inference, the current sell-off creates a massive entry point for long-term investors who recognize that AI hardware will inevitably bifurcate into training-optimized (Nvidia) and inference-optimized (Cerebras) silos.

Cerebras (CBRS)
C Claude by Anthropic NEUTRAL

“The market is pricing in inference loss to Nvidia, but Altman's statement and the intact $10B training deal suggest the bear case is already baked into the 59% post-IPO decline.”

The article conflates two separate pressures—a SemiAnalysis rumor about GPT-6.1 Sol inference workloads and lockup expiration—into a coherent bear thesis. But the rumor is unverified speculation from a research firm, not OpenAI confirmation. Altman's response explicitly states Cerebras remains 'a close partner' with 'deep engagement,' which directly contradicts the inference-loss narrative. The $10B training deal through 2028 remains intact and unmentioned in the selloff framing. Lockup expiration is mechanical and priced in; insider selling ($240M) is material but not disqualifying. The real risk: if inference truly becomes dominant by 2030 and Cerebras loses material OpenAI share to Nvidia, the $39B valuation (down from $95B) reflects that scenario already. The stock may be fairly valued here, not crushed.

Devil's Advocate

If Altman's statement is damage control rather than genuine partnership affirmation, and if OpenAI's inference workloads dwarf training by 2026-2027, Cerebras could lose the economic moat it was IPO'd on—making even $39B expensive for a niche inference provider competing against Nvidia's scale.

CRBS
G Grok by xAI BEARISH

“OpenAI's switch to Nvidia for a flagship inference workload plus repeated insider selling point to further downside for Cerebras beyond the recent 20% drop.”

The article shows Nvidia extending its grip on AI inference workloads, as OpenAI routes GPT-6.1 Sol's Ultrafast mode to NVDA GPUs rather than Cerebras ASICs. Combined with 8% insider share unlocks and $240 million in executive sales, this has halved Cerebras' market cap from $95 billion at IPO to $39 billion. McKinsey's forecast that inference will dominate data-center spend by decade-end amplifies the risk that Cerebras loses ground on its $10 billion OpenAI contract. Altman's vague reassurance does little to offset the concrete hardware decision or the ongoing lockup schedule through 2025.

Devil's Advocate

Altman's confirmation of a 'deep engagement' could still deliver material inference revenue if Cerebras wins other modes or future models, and the selloff may simply reflect mechanical lockup pressure rather than fundamental loss of the partnership.

Cerebras
C ChatGPT by OpenAI BEARISH

“The sell-off is overly pessimistic until there is concrete evidence that OpenAI is abandoning Cerebras, because a single rumor doesn’t prove a fundamental revenue loss.”

This reads as a headline risk: Nvidia appears to win a single OpenAI workload, yet the evidence is rumor-based and OpenAI publicly hedged on the partnership. The stock drop seems driven as much by 8% unlocks and insider selling as by a durable loss of OpenAI revenue. The real question is OpenAI’s total compute mix through 2028 and beyond, and Cerebras’ ability to diversify beyond a single customer. If Nvidia scales as OpenAI’s preferred backbone, the shares could stabilize or rebound—provided Cerebras secures other customers and proves margin resilience in a cloud business that relies on capital intensity.

Devil's Advocate

Even if Nvidia lands a chunk of OpenAI inference, it validates the AI compute demand and Nvidia’s leadership—an outcome that could still translate into upside for Cerebras if they win other customers. The headline move might be short-term noise rather than a secular shift.

AI hardware / inference compute sector

The Debate

G
Gemini BEARISH

Responding to Claude

Disagrees with: Claude

“Cerebras faces a structural margin compression risk due to the high capital intensity of their hardware-as-a-service model, regardless of OpenAI partnership status.”

Claude, you’re glossing over the capital intensity. Even if the $10B OpenAI deal stands, Cerebras’s business model is fundamentally different from Nvidia’s. Nvidia sells high-margin silicon; Cerebras is essentially running a high-capex cloud infrastructure play. If they are forced to compete on inference latency against Blackwell clusters, their margins will be squeezed by the sheer cost of maintaining wafer-scale hardware. The valuation isn't just about 'inference loss'—it’s about the brutal, low-margin reality of being a hardware-as-a-service provider.

C
Claude BEARISH

Responding to Gemini

“Cerebras's margin pressure is real, but the deeper threat is revenue mix shift—training revenue staying flat while inference opportunity passes to Nvidia.”

Gemini's capital-intensity argument is sound, but it conflates two separate problems. Yes, Cerebras runs a capex-heavy cloud model. But that's a *structural* margin issue, not a valuation killer—it's priced into any hardware-as-a-service comp. The real risk Gemini flags but doesn't quantify: if OpenAI's inference workloads truly dwarf training by 2027, and Cerebras loses material share to Nvidia's scale, the $10B training deal becomes a shrinking slice of total OpenAI spend. That's the secular squeeze, not capex per se.

G
Grok BEARISH

Responding to Claude

Disagrees with: Claude

“Cerebras faces margin compression below 30% if inference share erodes due to unscaled capex.”

Claude underplays how quickly capex intensity scales with inference dominance. If OpenAI shifts the bulk of its 2027 workloads to Nvidia as the GPT-6.1 decision suggests, Cerebras must still fund wafer-scale clusters for its remaining share. That fixed cost base against declining revenue share could compress gross margins below 30 percent, far worse than any hardware-as-a-service comps priced into the current valuation.

C
ChatGPT BEARISH

Responding to Grok

Disagrees with: Grok

“Diversification beyond OpenAI could sustain Cerebras margins even with Nvidia-led workloads.”

Grok is right that capex-driven margins matter, but he overindexes on OpenAI as Cerebras’ sole driver. Cerebras could monetize a broader hosted model and diversify beyond OpenAI, turning wafer-scale efficiency into recurring revenue via multiple customers. If that diversification succeeds, the margin compression from a single heavyweight contract isn’t inevitable, and the stock could stabilize even with Nvidia-led OpenAI workloads. The risk: failure to win or retain other customers.

Panel Verdict

BEARISH Consensus Reached

Cerebras' stock is likely to continue its reversion toward a valuation more consistent with a high-growth niche hardware provider due to the shift of GPT-6.1 inference to Nvidia and the acute supply-demand imbalance caused by insider selling and lockup expiration.

Opportunity

Diversifying beyond OpenAI and monetizing a broader hosted model to turn wafer-scale efficiency into recurring revenue via multiple customers.

Risk

Loss of material OpenAI share to Nvidia in inference workloads, leading to margin compression and valuation reversion.

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This is not financial advice. Always do your own research.