$CBRS might be the most interesting AI hardware stock to buy now and come back to in 3 years.
UBS has Cerebras going from $890M in revenue this year to $3.3B in 2027 and ~$22.6B by 2030, with operating margins swinging from −18% to 46% along the way.
At $146, the stock trades at about 20x UBS’s 2028 earnings and 10x 2029, and UBS has EPS compounding from $7.21 to $24.36 over those two years.
It’s also ~26% below the $196.74 share price UBS built the model on just two weeks ago. Same numbers, cheaper stock.
Remember I keep saying this: The growth story is inference.
Cerebras keeps the memory on the wafer itself, which is exactly what you want when agents fire off dozens of model calls per task and every millisecond of latency adds up.
Execution is everything here. But if they get even halfway there, $146 won’t look expensive for long ⚡
$CBRS Yes, Cerebras Systems management—including CFO Bob Komin—has officially stated that the company plans to more than triple (over 3x) its core revenue in 2027.
Key Details:
• 2026 Baseline Guidance: Cerebras raised its full-year 2026 core revenue guidance to $880 million – $890 million.
• 2027 Projections: Management's "more than triple" plan implies 2027 core revenue scaling to roughly $2.6 billion to $2.7 billion (or higher, with some Wall Street estimates approaching nearly $3 billion).
50 AI tools that will save you hundreds of hours in 2026. 🤯
1. Claude — Solve any problem
2. Perplexity — Research anything
3. PortfolioTab — Create your portfolio
4. Kling AI — Create AI videos
5. Tripo AI — Create 3D models
6. Gemini — Perfect writing
7. CapCut — Edit videos
8. The AI Library — Discover useful AI tools
9. YouLearn — Summarize YouTube videos
10. Canva — Design graphics
11. ElevenLabs — Clone voices
12. Podcastle — Edit podcasts
13. ChatGPT — Brainstorm ideas
14. NotebookLM — Analyze documents
15. Lovable — Build web apps
16. Bolt new — Generate full-stack apps
17. Cursor — AI coding assistant
18. Windsurf — AI software development
19. Replit — Build apps in your browser
20. Gamma — Create presentations
21. HeyGen — Create AI avatar videos
22. Synthesia — Generate AI presenter videos
23. Midjourney — Generate AI art
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34. Granola — AI meeting assistant
35. Wispr Flow — Voice-to-text
36. Zapier — Automate workflows
37. Make — Connect apps with automation
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39. Photoroom — Edit product photos
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41. Suno — Generate AI music
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43. DeepL — Translate accurately
44. Poe — Access multiple AI models
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48. Elicit — Research papers faster
49. SciSpace — Understand research papers
50. Notion AI — Write and organize notes
✅ Save this list—you'll probably use it more than you think.
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Most people are still trading manually, refreshing charts, second-guessing entries.
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Why are people still trading manually?
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I finally put together my thoughts on $CBRS’ yield and testing, something I have been curious about purely as an engineer for a very long time.
This is not a verification of Cerebras’ actual manufacturability. The calculations are based on a model I developed myself, so they may differ from reality.
Still, I hope this provides at least a little technical insight into the world’s first wafer scale chip.
You can also read the full article, including the appendix, on my Substack. Come check it out for free!
One of my friends makes $1.2M a year as an Anthropic engineer.
I asked him how he became so good at prompting. He sent me a video that was never meant to be public: Anthropic’s core team prompting playbook.
You’ll struggle to find a better 30-minute guide to prompting than this.
I watched it last night. Halfway through, I realized I’d been using Claude completely wrong for the past two years.
Watch it. Bookmark it.
CFETs solve this with overnight 50% SRAM scaling. Ask again in 2031-ish.
https://t.co/WStKlP0Ox9
Between now and then it's about optimizing compute vs bandwidth. The big lever Cerebras could use is quantization. They're still FP16.
Complementary Field-Effect Transistor (CFET) technology achieves major static random access memory (SRAM) scaling beyond traditional nanosheet gate-all-around (GAA) devices by vertically stacking nFET and pFET transistors. This folding eliminates lateral n-to-p separation spaces, reducing 6T-SRAM bitcell area by up to 40% to 55% compared to standard nanosheet or forksheet benchmarks.
From the below.
https://t.co/fLghxGZnB8
Dear Joe,
I’m writing this as a shareholder who actually wanted to believe in $EOSE is building and who still believes the underlying problem you’re trying to solve is real, urgent & structurally important for the grid. But this quarter wasn’t just a bad print.. it genuinely was a complete trust break.
Small-cap investing is like watching your house catch fire since you already know the risk going in but the only way you survive is if you trust the person guiding you to the front door. Once that trust is gone then you don’t just lose money but you burn with it. That’s what this quarter felt like.
Reaffirming guidance deep into the quarter and then missing it by this much without pre-announcing tells me that you actually didn't know what was happening inside the factory or chose to stick with the story even as the numbers were falling apart. Both are bad. As CEO, that’s on you.
What makes this harder to swallow is the timing since you raised roughly $600M late in the quarter and then turned around and delivered results that were nowhere close to what had been guided. Even if every operational issue you laid out is real then the sequence alone creates a governance problem. You can’t take fresh capital from the market while the quarter is blowing up and then act surprised after the fact. That destroys credibility.
I heard the explanations of supplier issues, downtime way above expectations, automation not hitting quality targets, rework, utilization below plan. These are real problems but from the outside it looks like the manufacturing system still isn’t stable enough to support the confidence you projected publicly. You can’t ask investors to underwrite a scaling story when the engine is still sputtering.
The frustrating part is that demand doesn’t look like the problem. You booked a lot of new orders, backlog grew and the pipeline is big and the tech actually matters. Long-duration, non-flammable zinc batteries solve a real gap that lithium-ion doesn’t since data centers run 24/7 but the grid wasn’t built for that. Eos sits right at the intersection of AI power demand and grid reliability which is why people believed in this story in the first place.
But none of that matters if management credibility is impaired which is exactly what today’s stock action reflects. A 40% drawdown isn’t the market debating long-duration storage but it’s the market GRADING YOU JOE and saying it no longer trusts you on execution.
I hope the company does turn it around. I hope the technology scales. I hope the mission succeeds. But as an investor, I already accept enough uncertainty from markets, supply chains and the normal fog of war but what I cannot accept is uncertainty layered with distrust of management communication. This quarter crossed that line and you should assume many shareholders feel the same.