Alex A.C. (@AnalysisOp) header
Alex A.C. (@AnalysisOp) profile picture

M. Eng. Electronic โšก ใ€ฐ๏ธ Financial data & analysis. Value investing. Growth? at a reasonable price ๐Ÿฆ” ๐Ÿง”๐Ÿป

EU
Joined February 2023
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A MONTH later.... - Micron $MU : from $724.66 ---> $1,141.75 [+57.5%] ๐Ÿ“ˆ - SK hynix : from โ‚ฌ1,080 ---> โ‚ฌ1,580 [+46%] ๐Ÿ“ˆ - Sandisk $SNDK : from $1,407.61 ---> 2,200.67 [+56%] ๐Ÿ“ˆ Sorry not sorry for the former Memory Bulls turned... clowns, and a real sorry for the Memory Panicans ๐Ÿ˜Œ
I'm seeing a new kind of Memory Panicans, but much worse: the former Memory Bulls that have sold their Memory names recently and now are saying: "ey, the cycle! downturn is near!"๐Ÿคฆโ€โ™€๏ธ Preaching against the ones we're holding. You're pathetic and know nothing๐Ÿคท $MU SK hynix $SNDK
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Alex A.C. retweeted
The AI ROI debate is getting harder to dismiss. Since late 2022, information, finance and professional/technical services produced **19.8% more real output with 1% fewer payroll jobs**. Output per job is growing at a 5.1% annual trend, up from 2.3% before 2023. The rest of the private nonfarm economy? 1.4%. Meanwhile, Anthropic reports over 6,000 customers spending at least $100K annually, versus over 600 a year earlier. Microsoft says automated tasks nearly doubled since July. This is the shift weโ€™ve been writing about: **from answers to work.** Agents doing useful work on enterprise data, inside governed workflows. Does this prove AI caused the acceleration? No. But โ€œwhereโ€™s the ROI?โ€ deserves a better answer than another chatbot joke.
Hard for me to look at these charts from the FT, especially the first one, and not see some evidence of โ€œROI on AI.โ€ Seems like a productivity surge post-Covid era overhiring that began to reverse before ChatGPT came out and then resumed its upward trend after ChatGPT. Especially given the @a16z data on revenue per employee at their portfolio companies and the @EPBResearch data showing that the 3 industries that have most heavily adopted AI have gone from 2.2% productivity growth to 5% productivity growth. And makes sense that it is showing up in the US first - America is 72% of Anthropic revenue vs. 50%ish at most application software companies. Great stuff from @jburnmurdoch even if I disagree with his conclusion.
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Replying to @TheTranscript_
LOOL ๐Ÿคฃ so the $GOOGL guys want to sell TPUs externally bc they think those customers will use their Software layer products?? ๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚
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"single-digit% YoY fluctuation" yep, and to the upside ๐Ÿ˜‚๐Ÿ˜‚๐Ÿ”ฅ Let's no comment the important increase in volume from 2029 on ๐Ÿ˜† $MU $SKHY
BofA: We now see single-digit% YoY fluctuation in DRAM prices through 2028-30, no hard-landing or downcycle is expected. $MU $DRAM $EWY $SKHY
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"Our ambition is to build an AI cloud, to become large and substantial enough to take on AWS and GCP" - $NBIS ๐Ÿ˜ฑ๐Ÿคฉ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ
$NBIS: Don't call us a neocloud, we are an AI cloud. The term initially referred to a handful of providers, now it has lost all its meaning. It is borderline offensive, we should fade it into non-existence. During a recent interview with Harper Carroll, Danila Shtan (CTO at Nebius) shared his thoughts on the word neocloud: "I passionately hate this particular term [...] Putting everything under this one broad term, for companies that have a software platform and those that don't, is borderline offensive. I don't like the term neocloud. I think we should fade that into non-existence. Maybe we need something else" The reason? "The term neocloud was introduced to distinguish this new cohort of compute players from hyperscalers, the clouds. But when we started there were 5-7 companies in the field. Right now you see 500-ish companies. This term became so broad. Frankly, I have an issue with putting us or CoreWeave in the same category as the company that procures 2,000 GPUs and rents them to someone. These are different business models. These are different products. We refer to ourselves as an AI cloud" Despite the terminology, Nebius's mission remains the same: "Our ambition is to build an AI cloud, to become large and substantial enough to take on AWS and GCP" Source: Harper Carroll AI (YouTube)
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Alex A.C. retweeted
Google's total ad impressions dropped 14% compared to last year. Ad impressions have now been declining for nearly 4 years. $GOOGL
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Visa and Mastercard see agentic commerce as a significant long-term opportunity, although current transaction volumes remain very small. $V Visa CEO: "It's still very early. So we do have conviction that the opportunity is significant. We do have conviction that there's real incremental opportunities. But as we think about the next 4 quarters in '27, it all remains very small in the big scheme of the enormous size of our business." $MA Mastercard CEO: "It is still early days, and the numbers are not yet significant in the grand scheme. But as the AI agentic assistants have emerged, agentic transactions are ramping up at impressive weekly growth rates. We're now seeing the early stages of consumer adoption."
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Alex A.C. retweeted
Halloween cosplay in China has reached its peak...๐Ÿ˜ญ๐Ÿ˜ญ
ๅชๆœ‰ๅ‚ไธŽๅธ‚ๅœบๆŠ•่ต„็š„ไบบ ๆ‰่ƒฝ็†่งฃไธ‡ๅœฃ่Š‚๏ผŒ่ฟ™ไธคไฝๆ‰ฎๆผ”็š„ๆๆ€–ๆˆไปฝ
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Interesting visual shared by @friedberg on @theallinpod Starting from $1 of Nvidia COGS, the money flows into $4.00 of Nvidia hardware revenue, scales to $8.6 per year in SpaceXAI compute revenue, grows to $17.8 per year for Anthropic, and ultimately unlocks $36โ€“178 per year in value for the end customer. $SPCX $NVDA
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ALERT๐Ÿšจ๐Ÿšจ๐Ÿšจ: AMD's @AnushElangovan and his team have achieved up to 2x better performance per dollar than even B200 on Kimi K3 Agentic Inference! This is due to various software optimization efforts, including tuning AITER kernels and MonoKernel decode. Along with MI355X having 2304GB of HBM per server, this allows it to avoid crossing slow 8x400Gbit/s scale-out networking between servers, which B200 needs to do due to having less than 1.5TB of HBM. Great work to Anush, Peng Sun, Ramine, Emad, and the vLLM team for this amazing work!
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"Our analysis suggests AI CPUs require ~1.5TB of memory today and potentially 2-3TB in coming generations, compared to ~0.5TB for traditional CPUs" So up to x6 more DRAM Demand for AI CPUs vs Traditional CPUs ๐Ÿ‘€๐Ÿ”ฅ๐Ÿ”ฅ $MU $SKHY
UBS: our recent checks increasingly suggest the ideal CPU:GPU ratio for AI infrastructure could settle closer to 3:1 and potentially 4:1. Against our expectation for ~44M accelerators in CY30, a 3-4x ratio would imply ~120M CPUs supporting AI infrastructure. Our analysis suggests AI CPUs require ~1.5TB of memory today and potentially 2-3TB in coming generations, compared to ~0.5TB for traditional CPUs. $INTC $ARM $NVDA $AMD
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"This unconstrained TAM would require 282EB of DRAM, 3.5x higher compared to current industry estimates of 77EB" ๐Ÿ˜ฑ๐Ÿ”ฅ๐Ÿ”ฅ Supply in the next years won't increase that amount not even in dreams. I don't think not even x2 teapawt.net/techfund1/status/21165โ€ฆ
UBS' calculation on DRAM required for the "aspirational" agentic CPU build in 2030: The setup: ~44MM accelerators CPU-to-GPU ratio settling near 3:1, possibly 4:1 ~120MM AI CPUs + ~30MM traditional CPUs ~1.5TB per AI CPU today, 2-3TB in coming generations ~0.5TB per traditional CPU "This unconstrained TAM would require 282EB of DRAM, 3.5x higher compared to current industry estimates of 77EB" Memory, not compute demand, remains the binding constraint in the AI buildout. In order for the AI CPU market to take off, much more DRAM supply is needed.
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Unitree shipments to increase to 30,000 units in 2027, up from 10,000-12,000 units in 2026. Humanoids shipment volume picking up.
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Alex A.C. retweeted
Why is MY RAM in YOUR computer?
BREAKING: OpenAI CEO Sam Altman says having RAM in personal computers is an inefficient use of the worldโ€™s limited DRAM supply, arguing it would be better allocated to data centers, per Tomโ€™s Hardware
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NASDAQ -4% (so far)๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜† Algos playing with pension/sovereign funds hardcore mode๐Ÿคก I hope Retail is not so dumb to be falling on this fud ๐Ÿ™„
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Don't be fooled guys, told you ๐Ÿ˜Œ If you are selling your AI/Tech stocks now, you'll regret it A LOT in the months ahead.... teapawt.net/MgnStnlyDerivs/status/โ€ฆ
The unwind in Hedge Fund equity exposures this year has been the biggest since at least 2017. Active de-grossing (reduction in long + short positions) by global hedge funds has now hit over 8% of total gross exposure since June, according to the Morgan Stanley Prime Brokerage Content team. This has taken gross leverage for US long/short funds down to the 10th percentile versus the last year.
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The "AI Token Factory" layer could be very profitable $NBIS The importance to be an AI Hyperscaler (all integrated)
Evercore ISI: Revenue per MW for AI LLM can reach as high as $126.1 million compared to $40 million for GPU cloud revenue. $GOOGL $MSFT $META $AMZN $AMD $NVDA
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Bernstein: producing the same amount of memory with HBF could consume 6.5x the wafer capacity of NAND. Estimated cost of 8-layer HBF to be $0.64/GB compared to $6.78/GB for 8-layer HBM4. $SNDK $DDRAM $MU $EWY
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The implicit assumption in the question is that higher rates help fix inflation in all contexts. In reality, certain conditions/causes for inflation are not fixed by higher rates.
Q: There's been essentially no progress toward the 2% inflation target. Why not raise rates today? KEVIN WARSH: It's a good question (Note how he never answers it!)
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"Therefore, even if credit issues are being raised in the market, we are not experiencing any impact from them. Customer DEMAND IS ACTUALLY GROWING EVEN STRONGER than in the previous quarter" - $SNDK ๐Ÿ˜Œ Fundamentals ACROSS industry stronger as ever. No fear guys $MU $SKHY
์ƒŒ๋””์Šคํฌ( $SNDK) FY27 1๋ถ„๊ธฐ ์–ด๋‹์ฝœ Q&A ์ค‘ Q. [BofA) / ์™์‹œ ๋ชจํ•œ] ๋ฐœํ‘œ ์ž๋ฃŒ์—์„œ ์„ ๋„์ ์ธ AI ๊ธฐ์—…๋“ค๊ณผ์˜ ํ˜‘์˜๊ฐ€ ์ถ”๊ฐ€์ ์ธ ์ˆ˜์š” ์ฆ๊ฐ€ ๊ฐ€๋Šฅ์„ฑ์„ ์‹œ์‚ฌํ•œ๋‹ค๊ณ  ์–ธ๊ธ‰ํ–ˆ์Šต๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์„œ ๋งํ•˜๋Š” AI ๊ธฐ์—…๋“ค์€ AI ์—ฐ๊ตฌ์†Œ(AI Labs)์ž…๋‹ˆ๊นŒ, ์•„๋‹ˆ๋ฉด ๋„ค์˜คํด๋ผ์šฐ๋“œ(Neocloud) ๊ธฐ์—…๋“ค์ž…๋‹ˆ๊นŒ? ๋˜ํ•œ ์ตœ๊ทผ ๋„ค์˜คํด๋ผ์šฐ๋“œ ๊ธฐ์—…๋“ค์„ ๋‘˜๋Ÿฌ์‹ผ ์‹ ์šฉ์œ„ํ—˜ ์šฐ๋ ค๊ฐ€ ์ƒŒ๋””์Šคํฌ ์‚ฌ์—…์—๋„ ์–ด๋–ค ํ˜•ํƒœ๋กœ๋“  ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ  ์žˆ์Šต๋‹ˆ๊นŒ? A. [๋ฃจ์ด์Šค ๋น„์†Œ์†Œ / CFO] ํ˜„์žฌ๊นŒ์ง€ ๊ทธ๋Ÿฌํ•œ ์˜ํ–ฅ์€ ์ „ํ˜€ ํ™•์ธ๋˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค. ์˜คํžˆ๋ ค ๊ณ ๊ฐ๋“ค๋กœ๋ถ€ํ„ฐ ๋งค์šฐ ๊ฐ•๋ ฅํ•œ ์ˆ˜์š”๊ฐ€ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์•ž์„œ ๋ง์”€๋“œ๋ ธ๋“ฏ์ด, ๋‹น์‚ฌ์˜ ์ตœ๋Œ€ ๊ณ ๊ฐ๋“ค์„ ์‚ดํŽด๋ณด๋ฉด ์‚ฌ์‹ค์ƒ ๋ชจ๋‘ ํˆฌ์ž์ ๊ฒฉ๋“ฑ๊ธ‰(Investment Grade) ๊ธฐ์—…์ด๋ฉฐ, ๋งค์šฐ ๊ฐ•๋ ฅํ•œ ํ˜„๊ธˆํ๋ฆ„์„ ์ฐฝ์ถœํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ ์‹œ์žฅ์—์„œ ์‹ ์šฉ ๋ฌธ์ œ๊ฐ€ ์ œ๊ธฐ๋˜๊ณ  ์žˆ๋”๋ผ๋„ ๋‹น์‚ฌ๋Š” ๊ทธ๋กœ ์ธํ•œ ์˜ํ–ฅ์„ ์ „ํ˜€ ๊ฒฝํ—˜ํ•˜์ง€ ์•Š๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๊ณ ๊ฐ ์ˆ˜์š”๋Š” ์˜คํžˆ๋ ค ์ง€๋‚œ ๋ถ„๊ธฐ๋ณด๋‹ค ๋”์šฑ ๊ฐ•ํ•ด์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. $NBIS, $NVDA
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Cloud growth is accelerating across Big Tech: $AMZN CEO: "AWS grew 39.3% year-over-year, accelerating for the sixth straight quarter, our fastest growth in nearly 5 years. Backlog is $578 billion, growing triple digits year-over-year and well diversified." $MSFT CFO: "Azure revenue was ahead of expectations and increased 48%, even with the 3P capacity delays noted earlier, driven by Foundry and improved CPU monetization." $GOOGL CFO: "Cloud revenues were up 103% to $30.7 billion, driven by strong growth in GCP, with strength in AI, including both AI infrastructure and AI solutions, and core GCP"
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