F22

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F22

@F28X5

🌎 Katılım Ocak 2022
86 Takip Edilen1.3K Takipçiler
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F22
F22@F28X5·
Warren Buffett “If you don't find a way to make money while you sleep, you will work until you die.”
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Trade Whisperer
Trade Whisperer@TradexWhisperer·
$MU $SNDK $DRAM @MicronCEO: AI is still in its "first innings" (very early stages). AI-driven demand for DRAM and NAND is projected to exceed 50% of the total industry TAM this year, with severe supply constraints persisting due to long lead times for new capacity HBM (AI GPUs), DRAM (AI CPUs), and NAND are ALL in tight supply. Memory is now a "strategic asset" for customers. RE-RATE INCOMING
Trade Whisperer tweet media
Trade Whisperer@TradexWhisperer

$MU I worked 21 years as an HBM, DRAM & NAND engineer. AMA is open. Ask me anything. I'll drop rare insights where I can.

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F22
F22@F28X5·
@hamids AMD Mi400 is very very good With lots of HBM memory Significant capabilities jump from OpenAI and Meta once trained .. as good as Claude mythos maybe better Q2-3 2027
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Hamid
Hamid@hamids·
$META and Zuck get no respect (relatively speaking). Zuck is growing Meta faster than Google, Microsoft, Amazon and Apple and is more profitable than all of them on per $1 of revenue. But Wall Street is like "but Zuck wastes money on pet projects!" 🤣 ok, if that's your take, then imagine how badly he would be destroying everyone else if he didn't waste money. He's destroying everyone *despite* supposedly wasting money.
Stock Market Nerd@StockMarketNerd

There are people still doubting if $META can effectively use AI for its core business. Do they think Meta just magically snapped its fingers or accelerated from 16% to 32% growth by chance? Just listen to an earnings call. AI is dramatically helping their core. Right now.

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F22
F22@F28X5·
F22@F28X5

Micron $Mu is currently undergoing a structural transformation to reduce its historic dependence on the volatile consumer PC and smartphone cycles.  Micron has moved aggressively to position itself as an "AI powerhouse," shifting its center of gravity toward Enterprise and AI Data Centers.  The Strategic Pivot away from Consumer Historically, Micron's revenue was tethered to the "boom-bust" cycles of the consumer sector. To break this, the company has taken several unprecedented steps:  1. Exiting Consumer Brands: In late 2025, Micron announced it would exit the Crucial consumer business (retail RAM and SSDs) by February 2026. This move was designed to reallocate manufacturing capacity toward higher-margin enterprise products.  2. Wafer Displacement: High Bandwidth Memory (HBM) for AI servers requires approximately three times the wafer capacity of standard DRAM. By focusing on HBM, Micron naturally reduces the oversupply of "commodity" consumer DRAM, which helps stabilize prices across the board.  3. Enterprise Mix: Data center bit demand is projected to exceed 50% of the industry total for the first time in 2026, with enterprise SSDs now making up over 60% of Micron's NAND revenue.  4. Seeking "Durable" Revenues Micron is attempting to replace "spot price" volatility with Strategic Customer Agreements (SCAs). These are multi-year, fixed-price contracts with major hyperscalers (like NVIDIA, Microsoft, and Amazon).  5. The Goal: By locking in these agreements, Micron aims to create a "margin floor." Instead of being repriced every quarter by the open market, they operate more like a long-cycle industrial business. 6. High Bandwidth Memory (HBM): Products like HBM3E and the newly ramped HBM4 command significantly higher Average Selling Prices (ASPs) and margins (projected to hit 81% in late 2026) compared to legacy consumer chips.  Is the "Cyclical Nature" Truly Gone? While the pivot is real, experts remain split on whether the cycle is truly "broken" or just "extended": The Bull Case: The "Memory Wall" in AI is a structural bottleneck. AI models need more memory just as much as they need faster processors, creating a permanent demand floor.  The Bear Case: Even in the enterprise sector, cycles exist. If big tech companies (the "Magnificent Seven") eventually slow their data center build-outs in 2027 or 2028, the industry could still face a "digestive period" or oversupply. Takeaway Micron is using the AI transition to fundamentally change its business model from a "commodity chip maker" to a "strategic infrastructure partner," aiming for a more predictable and premium revenue stream.

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Trade Whisperer
Trade Whisperer@TradexWhisperer·
$MU $DRAM $SNDK It is time to have the most important debate of the entire AI market. Is memory cyclical or permanently re-rated? No hiding. Pick a side and defend it! Best bull thesis and best bear thesis both get a public callout from me. Please keep it respectful 👇
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Barchart
Barchart@Barchart·
BREAKING 🚨: Berkshire Hathaway $BRK.A is now underperforming the S&P 500 $SPX by a staggering 41 percentage points since Warren Buffett announced his retirement 1 year ago 📉🤯👀
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F22
F22@F28X5·
@Barchart Brk.B has underperform our beloved VOO for 1, 5, 10 year period. Congrats to all the Individual investors outperforming the SP 500. You outperform most hedge funds !
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F22
F22@F28X5·
You’re highlighting a key trend AI customization and personalization. This refers to tailoring AI models and outputs to individual users’ preferences, data, and needs…. think adaptive interfaces, user-specific recommendations, or fine-tuned responses based on past interactions. Need more memory for this like 1 billion X
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Mark Cuban
Mark Cuban@mcuban·
I’m coming to the conclusion that the biggest challenge for Enterprise AI, and AI in general , as of now, is that it’s still impossible to make sure that everyone gets the same answer to the same question, every time. Which is a great response to the doomers. AI doesn’t know the consequences of its output. Judgement and the ability to challenge AI output is becoming increasingly necessary, and valuable. Which makes domain knowledge more valuable by the second. Am I wrong ?
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F22
F22@F28X5·
The memory sector’s rerating is likely to happen quickly over quarters, not years. Don’t blink. $mu $sndk $dram
F22@F28X5

Micron $Mu is currently undergoing a structural transformation to reduce its historic dependence on the volatile consumer PC and smartphone cycles.  Micron has moved aggressively to position itself as an "AI powerhouse," shifting its center of gravity toward Enterprise and AI Data Centers.  The Strategic Pivot away from Consumer Historically, Micron's revenue was tethered to the "boom-bust" cycles of the consumer sector. To break this, the company has taken several unprecedented steps:  1. Exiting Consumer Brands: In late 2025, Micron announced it would exit the Crucial consumer business (retail RAM and SSDs) by February 2026. This move was designed to reallocate manufacturing capacity toward higher-margin enterprise products.  2. Wafer Displacement: High Bandwidth Memory (HBM) for AI servers requires approximately three times the wafer capacity of standard DRAM. By focusing on HBM, Micron naturally reduces the oversupply of "commodity" consumer DRAM, which helps stabilize prices across the board.  3. Enterprise Mix: Data center bit demand is projected to exceed 50% of the industry total for the first time in 2026, with enterprise SSDs now making up over 60% of Micron's NAND revenue.  4. Seeking "Durable" Revenues Micron is attempting to replace "spot price" volatility with Strategic Customer Agreements (SCAs). These are multi-year, fixed-price contracts with major hyperscalers (like NVIDIA, Microsoft, and Amazon).  5. The Goal: By locking in these agreements, Micron aims to create a "margin floor." Instead of being repriced every quarter by the open market, they operate more like a long-cycle industrial business. 6. High Bandwidth Memory (HBM): Products like HBM3E and the newly ramped HBM4 command significantly higher Average Selling Prices (ASPs) and margins (projected to hit 81% in late 2026) compared to legacy consumer chips.  Is the "Cyclical Nature" Truly Gone? While the pivot is real, experts remain split on whether the cycle is truly "broken" or just "extended": The Bull Case: The "Memory Wall" in AI is a structural bottleneck. AI models need more memory just as much as they need faster processors, creating a permanent demand floor.  The Bear Case: Even in the enterprise sector, cycles exist. If big tech companies (the "Magnificent Seven") eventually slow their data center build-outs in 2027 or 2028, the industry could still face a "digestive period" or oversupply. Takeaway Micron is using the AI transition to fundamentally change its business model from a "commodity chip maker" to a "strategic infrastructure partner," aiming for a more predictable and premium revenue stream.

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F22
F22@F28X5·
@zerohedge its cyclical go back to sleep 😴💤 🛌
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Gublo 🇨🇦
Gublo 🇨🇦@Gubloinvestor·
This will make killing gains this week.. i am very bullish on $DRAM this week..
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F22
F22@F28X5·
@JohnTinsman memory rerating will not happen over many years it will only take a few quarters $MU $SNDK $DRAM
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John Tinsman
John Tinsman@JohnTinsman·
ALL TIME HIGHS IN MEMORY PREMARKET $MU up 3% $SNDK up 3% It seems like these names aren’t going to cool off until they get to a value where investors are no longer excited about them.
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F22
F22@F28X5·
@FluentInFinance vehicle ownership will tank next replace by autonomous ride hailing
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F22
F22@F28X5·
@StockMKTNewz Google Micron NVIDIA Meta Broadcom Amazon Ge Vernova Tsmc Amd Sandisk Intc
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F22
F22@F28X5·
@QC_Capitals Yes probably Probability of $MU Stock split 2027 is high NVIDIA did it at $1200 > $120 10 to 1
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QC Capital
QC Capital@QC_Capitals·
Will $MU be +$1,000 stock by the EOY?
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F22 retweetledi
Marcos Milla
Marcos Milla@MarcosMillaYT·
5 Stocks that could make you Rich by 2030 1) AMD $AMD 2) Micron $MU 3) Taiwan Semi $TSM 4) NVIDIA $NVDA 5) Broadcom $AVGO
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F22
F22@F28X5·
@realpristinecap Like selling Walmart and Costco Tsmc early. Brk.b underperform VOO in 1, 5, 10 year period.
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Andrew O'Connell, CFA, FRM
Andrew O'Connell, CFA, FRM@realpristinecap·
The biggest signal of low IQ is someone who criticizes Warren Buffett’s investment decisions
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F22
F22@F28X5·
@FluentInQuality He should invest in micron before it reaches multiple trillion dollars. Memory (HBM) is the highest single component cost for Nvidia’s AI chips like the H100 (41%) and B200 (45%) 41% > 45% > higher prices Please send this message to Jensen Thx. 🙏 @nvidia @NVIDIAAI
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FluentInQuality
FluentInQuality@FluentInQuality·
Jensen Huang just admitted Nvidia made a mistake. Not a small one. Anthropic went to $GOOG and $AMZN AWS, not $NVDA, because Google and AWS wrote billion-dollar checks first. Jensen's words: "We just weren't in a position to make the multi-billion dollar investment into Anthropic so that they could use our compute." His admission: "That was my miss." Without that early capital, Anthropic had no choice. TPU and Trainium growth? Jensen says it plainly, it's 100% Anthropic. One customer. Not a trend. Now, Nvidia is investing $30B in OpenAI and $10B in Anthropic. The most profitable company in AI history, 70% gross margins, cranking out generational leaps every single year, was too small to write a $5B check when it mattered most. They won the compute war. And still left the equity on the table. Jensen isn't making that mistake again. Neither should you.
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F22
F22@F28X5·
@wallstengine Amd will start gaining market share The memory bandwidth is the key component to their success Due to their best in class chiplet technology / architecture
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Wall St Engine
Wall St Engine@wallstengine·
HSBC Downgrades $AMD to Hold from Buy, P $340 Analyst comments: "We downgrade our rating to Hold as the stock has already significantly re-rated from trading at a 19x 2027E P/E multiple to a 33x P/E multiple, with limited room for earnings upside due to capacity constraints. AMD's share price has gained 77% since the beginning of April, compared with the Nasdaq up 17% over the same period, on bullish server CPU demand expectations from agentic AI. However, we do not expect an upside earnings surprise from AMD's upcoming 1Q26 results despite strong demand, as ongoing foundry constraints will likely persist throughout 2026E. We are lowering our 2026E AI GPU revenue estimate to $14.6B from $18.5B due to increasing supply chain uncertainty around the MI455 rack server ramp-up. While server CPU demand remains strong, AMD remains dependent on TSMC foundry capacity, limiting unit growth upside in 2026E. We see possible upside in 2027E, but this depends on better foundry capacity visibility emerging in 2H26E." Analyst: Frank Lee
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Leo Invests
Leo Invests@Leo_Traydes·
My Sunday not so hot takes: $NVDA is still undervalued $TSM is still undervalued $AMAT is still undervalued $MU is still undervalued
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