#aistocks
aistocks
119,638 views
594 සාකච්ඡා කරමින්
උණුසුම්
නවතම
·
--
උසබ තත්ත්වය
🟢 NVDA: buy-lean while AI momentum keeps making new highs.
Nvidia has been one of the strongest forces lifting the market, as investors keep betting on demand for AI computing.
My lean: BUY-lean while that demand story holds—but at record levels, expectations are high and any sign of slower spending could hit hard.
What would change your mind first: weaker AI demand or a valuation that’s simply too stretched?
#NVDA #NVIDIA #AIStocks
🟢 NVDA: buy-lean while AI momentum keeps making new highs.
Nvidia has been one of the strongest forces lifting the market, as investors keep betting on demand for AI computing.
My lean: BUY-lean while that demand story holds—but at record levels, expectations are high and any sign of slower spending could hit hard.
What would change your mind first: weaker AI demand or a valuation that’s simply too stretched?
#NVDA #NVIDIA #AIStocks
Nvidia has been one of the strongest forces lifting the market, as investors keep betting on demand for AI computing.
My lean: BUY-lean while that demand story holds—but at record levels, expectations are high and any sign of slower spending could hit hard.
What would change your mind first: weaker AI demand or a valuation that’s simply too stretched?
#NVDA #NVIDIA #AIStocks
15
·
--
Michael Burry has been bearish on AI stocks all year, so I mapped his public calls onto the Nasdaq 100 daily to see if they work as a contrarian signal. Short answer, it depends on how loud the crowd gets.
The two calls that got the biggest reaction both came near lows. On April 10 he posted, then deleted, a line about Anthropic eating Palantir's lunch, and $PLTR dropped 7.3% that day. The Nasdaq 100 was two weeks off its March 30 low and went on to rally 22% into the June 2 high. On September 16 the news that he's advising a new short-focused fund was everywhere, with the index sitting at its September low, and it's up 7.4% since.
When he posted without much of a crowd reacting, he was right more often. His Palantir "sand castle" post came the day after the June 2 high, and his June 30 shorts on $NVDA and the chip names came before a 10% slide into July 29. The August 4 "1987-type fall" warning went nowhere for six weeks, and the index is 4.5% above it now.
So I'd read his calls as a fade when they become the headline, and as more likely worth respecting when they're just another post. The Nasdaq 100 closed at a new high Monday while he's still positioned against the AI names, and so far the crowd isn't paying much attention... I'll keep an eye on whether that changes. $QQQ
#Nasdaq #MichaelBurry #AIStocks #Markets
Michael Burry has been bearish on AI stocks all year, so I mapped his public calls onto the Nasdaq 100 daily to see if they work as a contrarian signal. Short answer, it depends on how loud the crowd gets.
The two calls that got the biggest reaction both came near lows. On April 10 he posted, then deleted, a line about Anthropic eating Palantir's lunch, and $PLTR dropped 7.3% that day. The Nasdaq 100 was two weeks off its March 30 low and went on to rally 22% into the June 2 high. On September 16 the news that he's advising a new short-focused fund was everywhere, with the index sitting at its September low, and it's up 7.4% since.
When he posted without much of a crowd reacting, he was right more often. His Palantir "sand castle" post came the day after the June 2 high, and his June 30 shorts on $NVDA and the chip names came before a 10% slide into July 29. The August 4 "1987-type fall" warning went nowhere for six weeks, and the index is 4.5% above it now.
So I'd read his calls as a fade when they become the headline, and as more likely worth respecting when they're just another post. The Nasdaq 100 closed at a new high Monday while he's still positioned against the AI names, and so far the crowd isn't paying much attention... I'll keep an eye on whether that changes. $QQQ
#Nasdaq #MichaelBurry #AIStocks #Markets
The two calls that got the biggest reaction both came near lows. On April 10 he posted, then deleted, a line about Anthropic eating Palantir's lunch, and $PLTR dropped 7.3% that day. The Nasdaq 100 was two weeks off its March 30 low and went on to rally 22% into the June 2 high. On September 16 the news that he's advising a new short-focused fund was everywhere, with the index sitting at its September low, and it's up 7.4% since.
When he posted without much of a crowd reacting, he was right more often. His Palantir "sand castle" post came the day after the June 2 high, and his June 30 shorts on $NVDA and the chip names came before a 10% slide into July 29. The August 4 "1987-type fall" warning went nowhere for six weeks, and the index is 4.5% above it now.
So I'd read his calls as a fade when they become the headline, and as more likely worth respecting when they're just another post. The Nasdaq 100 closed at a new high Monday while he's still positioned against the AI names, and so far the crowd isn't paying much attention... I'll keep an eye on whether that changes. $QQQ
#Nasdaq #MichaelBurry #AIStocks #Markets
429
සත්යායනය කළ
#nvidiahitsrecordhighup2.4% 🚨 NVIDIA JUST HIT A NEW ALL-TIME HIGH — BUT CAN $NVDA KEEP RUNNING?
لمسَت NVIDIA رقمًا قياسيًا جديدًا قرب $237.88، ما دفع قيمتها السوقية إلى نحو $5.7 تريليون.
هذه الخطوة لا تحدث بمعزل عن غيرها.
3 محفزات يراقبها المتداولون:
🔥 1. ضعف بيانات الوظائف NFP غيّر المشهد الكلي
أضافت الولايات المتحدة 29,000 وظيفة فقط في سبتمبر مقابل ~90,000 متوقعة، ما خفّض بشدة توقعات حدوث رفعٍ قريب آخر لأسعار الفائدة. ارتفع قطاع التكنولوجيا والناسداك بعد التقرير.
💰 2. NVIDIA أعلنت برنامج إعادة شراء ضخم
أضافت الشركة 150B دولار إلى ترخيص إعادة شراء أسهمها، ليصل إجمالي البرنامج المتبقي إلى $235B حتى السنة المالية 2028.
🤖 3. طلب الذكاء الاصطناعي ما يزال يقدّم أرقامًا حقيقية
سجلت إيرادات NVIDIA الفصلية الأخيرة 96.2B دولار، بزيادة 106% على أساس سنوي.
وجهة نظري في الصفقة :
🟢 إيجابي: إذا حافظت NVDA على مستوى الاختراق واستمرت أحجام التداول قوية، فقد تتواصل عملية اكتشاف السعر.
🔴 مخاطر سلبية: بعد موجة صعود عند مستوى قياسي، قد تؤدي عمليات جني الأرباح، أو ارتفاع عوائد السندات، أو تراجع توقعات الإنفاق على الذكاء الاصطناعي إلى حدوث تراجع.
أنا أراقب الشمعة التالية + أحجام التداول، لا ألاحق القمة بشكل أعمى.
موجة صعود جديدة — أم جني أرباح أولًا؟ 👀
متابعة من فضلكم
$NVDAB
{spot}(NVDABUSDT)
$AAPLB
{spot}(AAPLBUSDT)
#NVDA #AIStocks #NFPWatch
#nvidiahitsrecordhighup2.4% 🚨 NVIDIA JUST HIT A NEW ALL-TIME HIGH — BUT CAN $NVDA KEEP RUNNING?
لمسَت NVIDIA رقمًا قياسيًا جديدًا قرب $237.88، ما دفع قيمتها السوقية إلى نحو $5.7 تريليون.
هذه الخطوة لا تحدث بمعزل عن غيرها.
3 محفزات يراقبها المتداولون:
🔥 1. ضعف بيانات الوظائف NFP غيّر المشهد الكلي
أضافت الولايات المتحدة 29,000 وظيفة فقط في سبتمبر مقابل ~90,000 متوقعة، ما خفّض بشدة توقعات حدوث رفعٍ قريب آخر لأسعار الفائدة. ارتفع قطاع التكنولوجيا والناسداك بعد التقرير.
💰 2. NVIDIA أعلنت برنامج إعادة شراء ضخم
أضافت الشركة 150B دولار إلى ترخيص إعادة شراء أسهمها، ليصل إجمالي البرنامج المتبقي إلى $235B حتى السنة المالية 2028.
🤖 3. طلب الذكاء الاصطناعي ما يزال يقدّم أرقامًا حقيقية
سجلت إيرادات NVIDIA الفصلية الأخيرة 96.2B دولار، بزيادة 106% على أساس سنوي.
وجهة نظري في الصفقة :
🟢 إيجابي: إذا حافظت NVDA على مستوى الاختراق واستمرت أحجام التداول قوية، فقد تتواصل عملية اكتشاف السعر.
🔴 مخاطر سلبية: بعد موجة صعود عند مستوى قياسي، قد تؤدي عمليات جني الأرباح، أو ارتفاع عوائد السندات، أو تراجع توقعات الإنفاق على الذكاء الاصطناعي إلى حدوث تراجع.
أنا أراقب الشمعة التالية + أحجام التداول، لا ألاحق القمة بشكل أعمى.
موجة صعود جديدة — أم جني أرباح أولًا؟ 👀
متابعة من فضلكم
$NVDAB
$AAPLB
#NVDA #AIStocks #NFPWatch
لمسَت NVIDIA رقمًا قياسيًا جديدًا قرب $237.88، ما دفع قيمتها السوقية إلى نحو $5.7 تريليون.
هذه الخطوة لا تحدث بمعزل عن غيرها.
3 محفزات يراقبها المتداولون:
🔥 1. ضعف بيانات الوظائف NFP غيّر المشهد الكلي
أضافت الولايات المتحدة 29,000 وظيفة فقط في سبتمبر مقابل ~90,000 متوقعة، ما خفّض بشدة توقعات حدوث رفعٍ قريب آخر لأسعار الفائدة. ارتفع قطاع التكنولوجيا والناسداك بعد التقرير.
💰 2. NVIDIA أعلنت برنامج إعادة شراء ضخم
أضافت الشركة 150B دولار إلى ترخيص إعادة شراء أسهمها، ليصل إجمالي البرنامج المتبقي إلى $235B حتى السنة المالية 2028.
🤖 3. طلب الذكاء الاصطناعي ما يزال يقدّم أرقامًا حقيقية
سجلت إيرادات NVIDIA الفصلية الأخيرة 96.2B دولار، بزيادة 106% على أساس سنوي.
وجهة نظري في الصفقة :
🟢 إيجابي: إذا حافظت NVDA على مستوى الاختراق واستمرت أحجام التداول قوية، فقد تتواصل عملية اكتشاف السعر.
🔴 مخاطر سلبية: بعد موجة صعود عند مستوى قياسي، قد تؤدي عمليات جني الأرباح، أو ارتفاع عوائد السندات، أو تراجع توقعات الإنفاق على الذكاء الاصطناعي إلى حدوث تراجع.
أنا أراقب الشمعة التالية + أحجام التداول، لا ألاحق القمة بشكل أعمى.
موجة صعود جديدة — أم جني أرباح أولًا؟ 👀
متابعة من فضلكم
$NVDAB
$AAPLB
#NVDA #AIStocks #NFPWatch
2
15.6k
·
--
$CBRSB Artificial intelligence infrastructure is becoming a major market theme
{spot}(CBRSBUSDT)
🤖 $CBRSB is trading at $177, gaining +2.86%
📈 $CBRSB Cerebras bStocks are giving traders exposure to one of the most exciting sectors in technology ⚡.
Is CBRSB on your AI market watchlist? 👀
#DonaldTrump #writetoearn #AIStocks #BStocks #BinanceSquareWritingContest
$CBRSB Artificial intelligence infrastructure is becoming a major market theme
🤖 $CBRSB is trading at $177, gaining +2.86%
📈 $CBRSB Cerebras bStocks are giving traders exposure to one of the most exciting sectors in technology ⚡.
Is CBRSB on your AI market watchlist? 👀
#DonaldTrump #writetoearn #AIStocks #BStocks #BinanceSquareWritingContest
🤖 $CBRSB is trading at $177, gaining +2.86%
📈 $CBRSB Cerebras bStocks are giving traders exposure to one of the most exciting sectors in technology ⚡.
Is CBRSB on your AI market watchlist? 👀
#DonaldTrump #writetoearn #AIStocks #BStocks #BinanceSquareWritingContest
25
·
--
🚨 NVIDIA تسجل قمة تاريخية جديدة — لكن هل يستطيع $NVDA مواصلة الصعود؟
وصلت NVIDIA إلى مستوى قياسي جديد قرب 237.88 دولار، لترتفع قيمتها السوقية إلى نحو 5.7 تريليون دولار. 📈
وهذه الحركة لم تأتِ من فراغ، فهناك 3 محفزات رئيسية يراقبها المتداولون:
🔥 1. بيانات الوظائف الضعيفة غيّرت المشهد الاقتصادي
أضاف الاقتصاد الأمريكي 29 ألف وظيفة فقط في سبتمبر مقابل توقعات بنحو 90 ألفًا، ما خفّض توقعات رفع الفائدة من الاحتياطي الفيدرالي على المدى القريب. وبعد صدور البيانات، شهدت أسهم التكنولوجيا وناسداك ارتفاعًا.
💰 2. NVIDIA تعلن عن برنامج ضخم لإعادة شراء الأسهم
رفعت الشركة تفويض إعادة شراء أسهمها بقيمة 150 مليار دولار، ليصل المبلغ المتبقي إلى نحو 235 مليار دولار حتى السنة المالية 2028.
🤖 3. الطلب على الذكاء الاصطناعي لا يزال يحقق أرقامًا قوية
بلغت إيرادات NVIDIA الفصلية الأخيرة 96.2 مليار دولار، بزيادة 106% على أساس سنوي.
📊 نظرتي للحركة:
🟢 سيناريو صاعد: إذا حافظ $NVDA على الاختراق مع استمرار قوة أحجام التداول، فقد تستمر مرحلة اكتشاف أسعار جديدة.
🔴 مخاطر هبوطية: بعد هذا الصعود إلى مستويات قياسية، قد يؤدي جني الأرباح أو ارتفاع عوائد السندات أو تراجع توقعات الإنفاق على الذكاء الاصطناعي إلى حدوث تصحيحأعمى.
🚀؟
$NVDAB $AAPLB
#NVDA #AIStocks #NFPWatch
{spot}(AAPLBUSDT)
{spot}(NVDABUSDT)
🚨 NVIDIA تسجل قمة تاريخية جديدة — لكن هل يستطيع $NVDA مواصلة الصعود؟
وصلت NVIDIA إلى مستوى قياسي جديد قرب 237.88 دولار، لترتفع قيمتها السوقية إلى نحو 5.7 تريليون دولار. 📈
وهذه الحركة لم تأتِ من فراغ، فهناك 3 محفزات رئيسية يراقبها المتداولون:
🔥 1. بيانات الوظائف الضعيفة غيّرت المشهد الاقتصادي
أضاف الاقتصاد الأمريكي 29 ألف وظيفة فقط في سبتمبر مقابل توقعات بنحو 90 ألفًا، ما خفّض توقعات رفع الفائدة من الاحتياطي الفيدرالي على المدى القريب. وبعد صدور البيانات، شهدت أسهم التكنولوجيا وناسداك ارتفاعًا.
💰 2. NVIDIA تعلن عن برنامج ضخم لإعادة شراء الأسهم
رفعت الشركة تفويض إعادة شراء أسهمها بقيمة 150 مليار دولار، ليصل المبلغ المتبقي إلى نحو 235 مليار دولار حتى السنة المالية 2028.
🤖 3. الطلب على الذكاء الاصطناعي لا يزال يحقق أرقامًا قوية
بلغت إيرادات NVIDIA الفصلية الأخيرة 96.2 مليار دولار، بزيادة 106% على أساس سنوي.
📊 نظرتي للحركة:
🟢 سيناريو صاعد: إذا حافظ $NVDA على الاختراق مع استمرار قوة أحجام التداول، فقد تستمر مرحلة اكتشاف أسعار جديدة.
🔴 مخاطر هبوطية: بعد هذا الصعود إلى مستويات قياسية، قد يؤدي جني الأرباح أو ارتفاع عوائد السندات أو تراجع توقعات الإنفاق على الذكاء الاصطناعي إلى حدوث تصحيحأعمى.
🚀؟
$NVDAB $AAPLB
#NVDA #AIStocks #NFPWatch
وصلت NVIDIA إلى مستوى قياسي جديد قرب 237.88 دولار، لترتفع قيمتها السوقية إلى نحو 5.7 تريليون دولار. 📈
وهذه الحركة لم تأتِ من فراغ، فهناك 3 محفزات رئيسية يراقبها المتداولون:
🔥 1. بيانات الوظائف الضعيفة غيّرت المشهد الاقتصادي
أضاف الاقتصاد الأمريكي 29 ألف وظيفة فقط في سبتمبر مقابل توقعات بنحو 90 ألفًا، ما خفّض توقعات رفع الفائدة من الاحتياطي الفيدرالي على المدى القريب. وبعد صدور البيانات، شهدت أسهم التكنولوجيا وناسداك ارتفاعًا.
💰 2. NVIDIA تعلن عن برنامج ضخم لإعادة شراء الأسهم
رفعت الشركة تفويض إعادة شراء أسهمها بقيمة 150 مليار دولار، ليصل المبلغ المتبقي إلى نحو 235 مليار دولار حتى السنة المالية 2028.
🤖 3. الطلب على الذكاء الاصطناعي لا يزال يحقق أرقامًا قوية
بلغت إيرادات NVIDIA الفصلية الأخيرة 96.2 مليار دولار، بزيادة 106% على أساس سنوي.
📊 نظرتي للحركة:
🟢 سيناريو صاعد: إذا حافظ $NVDA على الاختراق مع استمرار قوة أحجام التداول، فقد تستمر مرحلة اكتشاف أسعار جديدة.
🔴 مخاطر هبوطية: بعد هذا الصعود إلى مستويات قياسية، قد يؤدي جني الأرباح أو ارتفاع عوائد السندات أو تراجع توقعات الإنفاق على الذكاء الاصطناعي إلى حدوث تصحيحأعمى.
🚀؟
$NVDAB $AAPLB
#NVDA #AIStocks #NFPWatch
1
24
සත්යායනය කළ
#nvidiahitsrecordhighup2.4% 🚨 NVIDIA JUST HIT A NEW ALL-TIME HIGH — BUT CAN $NVDA KEEP RUNNING?
NVIDIA touched a fresh record near $237.88, pushing its market value to roughly $5.7 TRILLION.
This move isn’t happening in isolation.
3 catalysts traders are watching:
🔥 1. Weak NFP changed the macro picture
The U.S. added only 29,000 jobs in September vs ~90,000 expected, sharply reducing expectations for another near-term Fed rate hike. Tech and the Nasdaq rallied after the report.
💰 2. NVIDIA announced a massive buyback
The company added $150B to its share repurchase authorization, taking the remaining program to $235B through fiscal 2028.
🤖 3. AI demand is still delivering real numbers
NVIDIA’s latest quarterly revenue reached $96.2B, up 106% year-over-year.
My trade view :
🟢 Bullish: if NVDA holds the breakout and volume remains strong, price discovery could continue.
🔴 Bearish risk: after a record-high run, profit-taking, higher bond yields, or weaker AI spending expectations could trigger a pullback.
I’m watching the next candle + volume, not blindly chasing the high.
New leg higher — or profit-taking first? 👀
$NVDAB $AAPLB
{spot}(AAPLBUSDT)
{spot}(NVDABUSDT)
#NVDA #AIStocks #NFPWatch
#nvidiahitsrecordhighup2.4% 🚨 NVIDIA JUST HIT A NEW ALL-TIME HIGH — BUT CAN $NVDA KEEP RUNNING?
NVIDIA touched a fresh record near $237.88, pushing its market value to roughly $5.7 TRILLION.
This move isn’t happening in isolation.
3 catalysts traders are watching:
🔥 1. Weak NFP changed the macro picture
The U.S. added only 29,000 jobs in September vs ~90,000 expected, sharply reducing expectations for another near-term Fed rate hike. Tech and the Nasdaq rallied after the report.
💰 2. NVIDIA announced a massive buyback
The company added $150B to its share repurchase authorization, taking the remaining program to $235B through fiscal 2028.
🤖 3. AI demand is still delivering real numbers
NVIDIA’s latest quarterly revenue reached $96.2B, up 106% year-over-year.
My trade view :
🟢 Bullish: if NVDA holds the breakout and volume remains strong, price discovery could continue.
🔴 Bearish risk: after a record-high run, profit-taking, higher bond yields, or weaker AI spending expectations could trigger a pullback.
I’m watching the next candle + volume, not blindly chasing the high.
New leg higher — or profit-taking first? 👀
$NVDAB $AAPLB
#NVDA #AIStocks #NFPWatch
NVIDIA touched a fresh record near $237.88, pushing its market value to roughly $5.7 TRILLION.
This move isn’t happening in isolation.
3 catalysts traders are watching:
🔥 1. Weak NFP changed the macro picture
The U.S. added only 29,000 jobs in September vs ~90,000 expected, sharply reducing expectations for another near-term Fed rate hike. Tech and the Nasdaq rallied after the report.
💰 2. NVIDIA announced a massive buyback
The company added $150B to its share repurchase authorization, taking the remaining program to $235B through fiscal 2028.
🤖 3. AI demand is still delivering real numbers
NVIDIA’s latest quarterly revenue reached $96.2B, up 106% year-over-year.
My trade view :
🟢 Bullish: if NVDA holds the breakout and volume remains strong, price discovery could continue.
🔴 Bearish risk: after a record-high run, profit-taking, higher bond yields, or weaker AI spending expectations could trigger a pullback.
I’m watching the next candle + volume, not blindly chasing the high.
New leg higher — or profit-taking first? 👀
$NVDAB $AAPLB
#NVDA #AIStocks #NFPWatch
1
1.6k
·
--
Adobe $ADBE Pumps +1.61% Today to $234.30 — Is AI Rally Just Starting? #AIStocksWhatNext $ADBE
Breaking: Adobe (ADBE) derivative token is up +1.61% today — Now at $234.30 — ATH $293.86 (Sep 1, 2026) — Still -20.3% from top — Is this a dip opportunity?
Why bullish?
- Volume: 12.4M ADBE (24H) — Rising volume = Real buying
- Market Cap: $47.12B (+1.61%)
- Open Interest: $1.08B (+3.2%) — More traders entering long
- AI Sector Index: +2.14% — NVDA +2.8%, AMD +1.9%, MSFT +1.2% — Whole AI sector green
My Viewpoint (For Algo):
I'm bullish on ADBE long-term — Reason: Adobe just announced AI Creative Cloud integration — Photoshop + Firefly AI = Real revenue, not hype. Unlike other AI stocks, Adobe has 30M+ paying subscribers — Cash flow strong. Short-term? We may see pullback to $225 support if NVDA corrects — But if AI stocks keep rising, ADBE could retest ATH $293.86 — That's +25% upside from $234!
My Trade:
I added long at $232 with 2x — Small size — Trade widget 👇 — Target $250, SL $225
Chart shows Sep 20 to Sep 30 uptrend — Green line holding — Bullish structure intact!
Are you buying AI stocks or Crypto AI?
Vote:
A) Buying $ ADBE — Target $293 ATH
B) Waiting for $225 dip
C) Buying Crypto AI $FET $RNDR instead
Drop your pick — I'll like first 25!
$ADBE #AIStocksWhatNext #NVDA #Adobe #AIStocks #BTC #BinanceSquare
Adobe $ADBE Pumps +1.61% Today to $234.30 — Is AI Rally Just Starting? #AIStocksWhatNext $ADBE
Breaking: Adobe (ADBE) derivative token is up +1.61% today — Now at $234.30 — ATH $293.86 (Sep 1, 2026) — Still -20.3% from top — Is this a dip opportunity?
Why bullish?
- Volume: 12.4M ADBE (24H) — Rising volume = Real buying
- Market Cap: $47.12B (+1.61%)
- Open Interest: $1.08B (+3.2%) — More traders entering long
- AI Sector Index: +2.14% — NVDA +2.8%, AMD +1.9%, MSFT +1.2% — Whole AI sector green
My Viewpoint (For Algo):
I'm bullish on ADBE long-term — Reason: Adobe just announced AI Creative Cloud integration — Photoshop + Firefly AI = Real revenue, not hype. Unlike other AI stocks, Adobe has 30M+ paying subscribers — Cash flow strong. Short-term? We may see pullback to $225 support if NVDA corrects — But if AI stocks keep rising, ADBE could retest ATH $293.86 — That's +25% upside from $234!
My Trade:
I added long at $232 with 2x — Small size — Trade widget 👇 — Target $250, SL $225
Chart shows Sep 20 to Sep 30 uptrend — Green line holding — Bullish structure intact!
Are you buying AI stocks or Crypto AI?
Vote:
A) Buying $ ADBE — Target $293 ATH
B) Waiting for $225 dip
C) Buying Crypto AI $FET $RNDR instead
Drop your pick — I'll like first 25!
$ADBE #AIStocksWhatNext #NVDA #Adobe #AIStocks #BTC #BinanceSquare
Breaking: Adobe (ADBE) derivative token is up +1.61% today — Now at $234.30 — ATH $293.86 (Sep 1, 2026) — Still -20.3% from top — Is this a dip opportunity?
Why bullish?
- Volume: 12.4M ADBE (24H) — Rising volume = Real buying
- Market Cap: $47.12B (+1.61%)
- Open Interest: $1.08B (+3.2%) — More traders entering long
- AI Sector Index: +2.14% — NVDA +2.8%, AMD +1.9%, MSFT +1.2% — Whole AI sector green
My Viewpoint (For Algo):
I'm bullish on ADBE long-term — Reason: Adobe just announced AI Creative Cloud integration — Photoshop + Firefly AI = Real revenue, not hype. Unlike other AI stocks, Adobe has 30M+ paying subscribers — Cash flow strong. Short-term? We may see pullback to $225 support if NVDA corrects — But if AI stocks keep rising, ADBE could retest ATH $293.86 — That's +25% upside from $234!
My Trade:
I added long at $232 with 2x — Small size — Trade widget 👇 — Target $250, SL $225
Chart shows Sep 20 to Sep 30 uptrend — Green line holding — Bullish structure intact!
Are you buying AI stocks or Crypto AI?
Vote:
A) Buying $ ADBE — Target $293 ATH
B) Waiting for $225 dip
C) Buying Crypto AI $FET $RNDR instead
Drop your pick — I'll like first 25!
$ADBE #AIStocksWhatNext #NVDA #Adobe #AIStocks #BTC #BinanceSquare
4
158
·
--
#EarningsSeason
🚨Micron Technology Earnings: The AI Memory Test Begins
Micron Technology ($MU) is stepping into the spotlight as it prepares to report its fiscal Q4 2026 earnings today.
The memory-chip giant is coming off a powerful quarter, when it reported approximately $41.46 billion in revenue, marking a massive year-over-year increase and beating Wall Street expectations.
Now, investors are watching for one major question:
Can Micron keep the AI-driven momentum going? 👀
The company has benefited from strong demand for high-bandwidth memory (HBM), server DRAM and AI data-center infrastructure. Earlier this year, Micron also highlighted strong customer commitments for memory supply, showing just how intense the demand environment has become.
🔥 Key Things to Watch
• Revenue and EPS versus expectations
• HBM demand and future growth
• AI data-center memory demand
• DRAM pricing and supply conditions
• Fiscal 2027 revenue and profit guidance
• Capital spending and production expansion
This earnings report is about more than just one quarter.
Micron’s outlook could provide another important signal for the broader semiconductor and AI infrastructure market.
All eyes are now on $MU. 📊🔥
#MU #Micron #Earnings #EarningsSeason #AI #ArtificialIntelligence #Semiconductors #HBM #DRAM #TechStocks #StockMarket #NASDAQ #AIStocks $bchusd
#EarningsSeason
🚨Micron Technology Earnings: The AI Memory Test Begins
Micron Technology ($MU) is stepping into the spotlight as it prepares to report its fiscal Q4 2026 earnings today.
The memory-chip giant is coming off a powerful quarter, when it reported approximately $41.46 billion in revenue, marking a massive year-over-year increase and beating Wall Street expectations.
Now, investors are watching for one major question:
Can Micron keep the AI-driven momentum going? 👀
The company has benefited from strong demand for high-bandwidth memory (HBM), server DRAM and AI data-center infrastructure. Earlier this year, Micron also highlighted strong customer commitments for memory supply, showing just how intense the demand environment has become.
🔥 Key Things to Watch
• Revenue and EPS versus expectations
• HBM demand and future growth
• AI data-center memory demand
• DRAM pricing and supply conditions
• Fiscal 2027 revenue and profit guidance
• Capital spending and production expansion
This earnings report is about more than just one quarter.
Micron’s outlook could provide another important signal for the broader semiconductor and AI infrastructure market.
All eyes are now on $MU. 📊🔥
#MU #Micron #Earnings #EarningsSeason #AI #ArtificialIntelligence #Semiconductors #HBM #DRAM #TechStocks #StockMarket #NASDAQ #AIStocks $bchusd
🚨Micron Technology Earnings: The AI Memory Test Begins
Micron Technology ($MU) is stepping into the spotlight as it prepares to report its fiscal Q4 2026 earnings today.
The memory-chip giant is coming off a powerful quarter, when it reported approximately $41.46 billion in revenue, marking a massive year-over-year increase and beating Wall Street expectations.
Now, investors are watching for one major question:
Can Micron keep the AI-driven momentum going? 👀
The company has benefited from strong demand for high-bandwidth memory (HBM), server DRAM and AI data-center infrastructure. Earlier this year, Micron also highlighted strong customer commitments for memory supply, showing just how intense the demand environment has become.
🔥 Key Things to Watch
• Revenue and EPS versus expectations
• HBM demand and future growth
• AI data-center memory demand
• DRAM pricing and supply conditions
• Fiscal 2027 revenue and profit guidance
• Capital spending and production expansion
This earnings report is about more than just one quarter.
Micron’s outlook could provide another important signal for the broader semiconductor and AI infrastructure market.
All eyes are now on $MU. 📊🔥
#MU #Micron #Earnings #EarningsSeason #AI #ArtificialIntelligence #Semiconductors #HBM #DRAM #TechStocks #StockMarket #NASDAQ #AIStocks $bchusd
102
·
--
උසබ තත්ත්වය
අර්ධ වශයෙන් සත්යයි
Todo mundo está olhando o resultado da Micron amanhã.
Mas eu acho que o número mais importante NÃO é a receita.
É a margem.
A própria $MUB projetou aproximadamente:
US$50 bilhões de receita
≈86% de margem bruta
≈US$31 de lucro por ação
Isso é absurdo para uma empresa que, durante muito tempo, foi tratada como uma fabricante “cíclica” de memória.
E aqui está o motivo:
IA não precisa apenas de GPU.
Precisa de MUITA memória.
HBM virou uma peça fundamental para alimentar chips de IA com dados rápido o suficiente.
Por isso, pra mim, o resultado de amanhã vai responder uma pergunta maior que:
“Micron bateu ou não bateu o consenso?”
A pergunta é:
esse superciclo de memória realmente consegue continuar?
Se a Micron entregar margem perto ou acima dos 86% e ainda mostrar demanda forte para HBM, a tese de que IA está mudando estruturalmente o mercado de memória ganha força.
Mas existe um risco que eu não ignoraria:
$MUB já subiu muito e a expectativa também está enorme.
Quando todo mundo espera um resultado excelente, às vezes “excelente” já não é suficiente.
Eu quero ver principalmente:
margem
guidance
demanda por HBM
e quanto a empresa pretende investir para aumentar capacidade.
Porque resultado forte conta o passado.
Guidance conta o que a empresa está enxergando pela frente.
$MUB #EarningsSeason #AIStocks #MicronSharesRise10
Pra você, o superciclo de memória ainda está começando… ou o mercado já colocou expectativa demais no preço?
{spot}(MUBUSDT)
Todo mundo está olhando o resultado da Micron amanhã.
Mas eu acho que o número mais importante NÃO é a receita.
É a margem.
A própria $MUB projetou aproximadamente:
US$50 bilhões de receita
≈86% de margem bruta
≈US$31 de lucro por ação
Isso é absurdo para uma empresa que, durante muito tempo, foi tratada como uma fabricante “cíclica” de memória.
E aqui está o motivo:
IA não precisa apenas de GPU.
Precisa de MUITA memória.
HBM virou uma peça fundamental para alimentar chips de IA com dados rápido o suficiente.
Por isso, pra mim, o resultado de amanhã vai responder uma pergunta maior que:
“Micron bateu ou não bateu o consenso?”
A pergunta é:
esse superciclo de memória realmente consegue continuar?
Se a Micron entregar margem perto ou acima dos 86% e ainda mostrar demanda forte para HBM, a tese de que IA está mudando estruturalmente o mercado de memória ganha força.
Mas existe um risco que eu não ignoraria:
$MUB já subiu muito e a expectativa também está enorme.
Quando todo mundo espera um resultado excelente, às vezes “excelente” já não é suficiente.
Eu quero ver principalmente:
margem
guidance
demanda por HBM
e quanto a empresa pretende investir para aumentar capacidade.
Porque resultado forte conta o passado.
Guidance conta o que a empresa está enxergando pela frente.
$MUB #EarningsSeason #AIStocks #MicronSharesRise10
Pra você, o superciclo de memória ainda está começando… ou o mercado já colocou expectativa demais no preço?
Mas eu acho que o número mais importante NÃO é a receita.
É a margem.
A própria $MUB projetou aproximadamente:
US$50 bilhões de receita
≈86% de margem bruta
≈US$31 de lucro por ação
Isso é absurdo para uma empresa que, durante muito tempo, foi tratada como uma fabricante “cíclica” de memória.
E aqui está o motivo:
IA não precisa apenas de GPU.
Precisa de MUITA memória.
HBM virou uma peça fundamental para alimentar chips de IA com dados rápido o suficiente.
Por isso, pra mim, o resultado de amanhã vai responder uma pergunta maior que:
“Micron bateu ou não bateu o consenso?”
A pergunta é:
esse superciclo de memória realmente consegue continuar?
Se a Micron entregar margem perto ou acima dos 86% e ainda mostrar demanda forte para HBM, a tese de que IA está mudando estruturalmente o mercado de memória ganha força.
Mas existe um risco que eu não ignoraria:
$MUB já subiu muito e a expectativa também está enorme.
Quando todo mundo espera um resultado excelente, às vezes “excelente” já não é suficiente.
Eu quero ver principalmente:
margem
guidance
demanda por HBM
e quanto a empresa pretende investir para aumentar capacidade.
Porque resultado forte conta o passado.
Guidance conta o que a empresa está enxergando pela frente.
$MUB #EarningsSeason #AIStocks #MicronSharesRise10
Pra você, o superciclo de memória ainda está começando… ou o mercado já colocou expectativa demais no preço?
3
2.3k
·
--
#NvidiaApproves$150BBuyback
🔥 NVIDIA Authorizes Another $150B for Buybacks
💰 NVIDIA authorized an additional $150B share repurchase program, bringing its remaining buyback authorization to $235B.
📊 Buybacks can reduce the number of shares outstanding over time, while the move signals management’s current capital-allocation priorities.
🤖 The key question remains whether AI demand and cash generation can support both massive investment in future products and continued buybacks.
⚠️ A larger buyback authorization does not guarantee higher NVDA share prices.
👀 Is NVIDIA’s AI spending or its massive buyback plan more important for investors?
#NVIDIA #NVDA #AIStocks #StockMarket
#NvidiaApproves$150BBuyback
🔥 NVIDIA Authorizes Another $150B for Buybacks
💰 NVIDIA authorized an additional $150B share repurchase program, bringing its remaining buyback authorization to $235B.
📊 Buybacks can reduce the number of shares outstanding over time, while the move signals management’s current capital-allocation priorities.
🤖 The key question remains whether AI demand and cash generation can support both massive investment in future products and continued buybacks.
⚠️ A larger buyback authorization does not guarantee higher NVDA share prices.
👀 Is NVIDIA’s AI spending or its massive buyback plan more important for investors?
#NVIDIA #NVDA #AIStocks #StockMarket
🔥 NVIDIA Authorizes Another $150B for Buybacks
💰 NVIDIA authorized an additional $150B share repurchase program, bringing its remaining buyback authorization to $235B.
📊 Buybacks can reduce the number of shares outstanding over time, while the move signals management’s current capital-allocation priorities.
🤖 The key question remains whether AI demand and cash generation can support both massive investment in future products and continued buybacks.
⚠️ A larger buyback authorization does not guarantee higher NVDA share prices.
👀 Is NVIDIA’s AI spending or its massive buyback plan more important for investors?
#NVIDIA #NVDA #AIStocks #StockMarket
1
32
·
--
උසබ තත්ත්වය
$NVDA $TAO $NEAR
{future}(NEARUSDT)
{future}(TAOUSDT)
{future}(NVDAUSDT)
Nvidia just approved the largest single stock buyback authorization in US corporate history. On September 28, the board signed off on an additional $150 billion, bringing the company's total buyback capacity to $235 billion. That beats the previous record of $110 billion set by Apple back in 2024.
CEO Jensen Huang tied it directly to what he called a once-in-a-generation shift to AI and accelerated computing, saying the company's cash generation now lets them invest in growth while still returning capital to shareholders. In practical terms, a buyback like this means Nvidia purchases its own shares off the market, which reduces the total share count and effectively increases the ownership stake of everyone who holds on.
The plan is to complete the buyback by fiscal 2028. The market reacted well, shares rose more than 2% and are trading around $229, with the stock already up 24% over the past 12 months. That puts Nvidia's market cap at $5.42 trillion.
This isn't a crypto story directly, but it ties into the same AI infrastructure spending theme we've been tracking with tokens like $TAO, $FET, and $NEAR, since AI capex news like this tends to ripple through that whole sector.
#NVDA #AIStocks #Nvidia
$NVDA $TAO $NEAR
Nvidia just approved the largest single stock buyback authorization in US corporate history. On September 28, the board signed off on an additional $150 billion, bringing the company's total buyback capacity to $235 billion. That beats the previous record of $110 billion set by Apple back in 2024.
CEO Jensen Huang tied it directly to what he called a once-in-a-generation shift to AI and accelerated computing, saying the company's cash generation now lets them invest in growth while still returning capital to shareholders. In practical terms, a buyback like this means Nvidia purchases its own shares off the market, which reduces the total share count and effectively increases the ownership stake of everyone who holds on.
The plan is to complete the buyback by fiscal 2028. The market reacted well, shares rose more than 2% and are trading around $229, with the stock already up 24% over the past 12 months. That puts Nvidia's market cap at $5.42 trillion.
This isn't a crypto story directly, but it ties into the same AI infrastructure spending theme we've been tracking with tokens like $TAO , $FET, and $NEAR , since AI capex news like this tends to ripple through that whole sector.
#NVDA #AIStocks #Nvidia
Nvidia just approved the largest single stock buyback authorization in US corporate history. On September 28, the board signed off on an additional $150 billion, bringing the company's total buyback capacity to $235 billion. That beats the previous record of $110 billion set by Apple back in 2024.
CEO Jensen Huang tied it directly to what he called a once-in-a-generation shift to AI and accelerated computing, saying the company's cash generation now lets them invest in growth while still returning capital to shareholders. In practical terms, a buyback like this means Nvidia purchases its own shares off the market, which reduces the total share count and effectively increases the ownership stake of everyone who holds on.
The plan is to complete the buyback by fiscal 2028. The market reacted well, shares rose more than 2% and are trading around $229, with the stock already up 24% over the past 12 months. That puts Nvidia's market cap at $5.42 trillion.
This isn't a crypto story directly, but it ties into the same AI infrastructure spending theme we've been tracking with tokens like $TAO , $FET, and $NEAR , since AI capex news like this tends to ripple through that whole sector.
#NVDA #AIStocks #Nvidia
1
389
·
--
බෙයාරිෂ්
Everyone talks about the biggest AI companies.
But what about Innodata — $INOD.US
{stock_us}(INOD.US)
?
Innodata works with data used to develop and evaluate AI systems. Recent reporting highlighted strong revenue growth and continued expectations for substantial 2026 growth.
The AI economy isn't only about GPUs—data is infrastructure too. 🤖
#AIStocks #INOD #artificialintelligence #TechStocks #stockmarket
Everyone talks about the biggest AI companies.
But what about Innodata — $INOD.US
?
Innodata works with data used to develop and evaluate AI systems. Recent reporting highlighted strong revenue growth and continued expectations for substantial 2026 growth.
The AI economy isn't only about GPUs—data is infrastructure too. 🤖
#AIStocks #INOD #artificialintelligence #TechStocks #stockmarket
But what about Innodata — $INOD.US
?
Innodata works with data used to develop and evaluate AI systems. Recent reporting highlighted strong revenue growth and continued expectations for substantial 2026 growth.
The AI economy isn't only about GPUs—data is infrastructure too. 🤖
#AIStocks #INOD #artificialintelligence #TechStocks #stockmarket
INODUS+1.84%
1
98
·
--
සත්යායනය කළ
ලිපිය
AI vs дот-коми: чому 2026 — це не просто копія 1999-гоЗараз багато хто проводить історичні паралелі між 2026 роком та 1999-м (перед кризою доткомів) через це боячись відкривати нові позиції. І щось в цьому дійсно є, але давайте розберемось не панікуючи що схоже, а в чому явні відмінності)
Тоді ФРС теж почала підвищувати ставки на фоні технологічного буму. За цикл ставка виросла з 4,75% до 6,5%, дохідність 10-річних облігацій пішла вище 6% (щось нагадує), а Nasdaq після першого підвищення ще встиг вирости приблизно на 88% до піку в березні 2000 року.
Тобто сам факт підвищення ставки зовсім не означає, що технологічне ралі має закінчитися завтра. І це важливий момент зараз, коли Nasdaq продовжує триматися біля максимумів навіть після першого підвищення ФРС.
Але в історії 1999 року є й друга половина, про яку згадують трохи рідше) Після піку Nasdaq у підсумку впав майже на 78%. Причому найболючіша частина падіння вже відбувалася тоді, коли ФРС почала ставки знижувати.
Тому я б не читав аналогію з 1999-м ні як сигнал що "все пропало", ні як аргумент "давайте купувати все, що пов’язане з AI". Висновок тут значно простіший: вищі ставки можуть досить довго співіснувати з сильним технологічним ринком. Але якщо на цьому фоні оцінки відриваються від фундаменталу, ризик просто накопичується, а не зникає.
І тут є важлива відмінність від дот-комів: сьогодні Nvidia, Microsoft, Meta, Amazon та інші AI-бенефіціари вже генерують величезні прибутки й грошові потоки. Тобто це не копія 1999 року. Так, зі всіма дата-центрами вони перетворились вже на "важкі" компанії, але різниця з дот-комами досить відчутні.
Але й повністю ігнорувати урок тієї історії я б не став. Підвищення ставки саме по собі не вбиває ралі. Набагато важливіше що відбувається з прибутками компаній, оцінками та тим, скільки інвестори готові платити за майбутнє.
Всім же бажаю гарного завершення тижня наскільки це взагалі можливо в наших умовах)
Микита Гуппал | ProІнвестиції
#InterestRates #Fed #DotComBubble #AIStocks
AI vs дот-коми: чому 2026 — це не просто копія 1999-го
Зараз багато хто проводить історичні паралелі між 2026 роком та 1999-м (перед кризою доткомів) через це боячись відкривати нові позиції. І щось в цьому дійсно є, але давайте розберемось не панікуючи що схоже, а в чому явні відмінності)
Тоді ФРС теж почала підвищувати ставки на фоні технологічного буму. За цикл ставка виросла з 4,75% до 6,5%, дохідність 10-річних облігацій пішла вище 6% (щось нагадує), а Nasdaq після першого підвищення ще встиг вирости приблизно на 88% до піку в березні 2000 року.
Тобто сам факт підвищення ставки зовсім не означає, що технологічне ралі має закінчитися завтра. І це важливий момент зараз, коли Nasdaq продовжує триматися біля максимумів навіть після першого підвищення ФРС.
Але в історії 1999 року є й друга половина, про яку згадують трохи рідше) Після піку Nasdaq у підсумку впав майже на 78%. Причому найболючіша частина падіння вже відбувалася тоді, коли ФРС почала ставки знижувати.
Тому я б не читав аналогію з 1999-м ні як сигнал що "все пропало", ні як аргумент "давайте купувати все, що пов’язане з AI". Висновок тут значно простіший: вищі ставки можуть досить довго співіснувати з сильним технологічним ринком. Але якщо на цьому фоні оцінки відриваються від фундаменталу, ризик просто накопичується, а не зникає.
І тут є важлива відмінність від дот-комів: сьогодні Nvidia, Microsoft, Meta, Amazon та інші AI-бенефіціари вже генерують величезні прибутки й грошові потоки. Тобто це не копія 1999 року. Так, зі всіма дата-центрами вони перетворились вже на "важкі" компанії, але різниця з дот-комами досить відчутні.
Але й повністю ігнорувати урок тієї історії я б не став. Підвищення ставки саме по собі не вбиває ралі. Набагато важливіше що відбувається з прибутками компаній, оцінками та тим, скільки інвестори готові платити за майбутнє.
Всім же бажаю гарного завершення тижня наскільки це взагалі можливо в наших умовах)
Микита Гуппал | ProІнвестиції
#InterestRates #Fed #DotComBubble #AIStocks
Тоді ФРС теж почала підвищувати ставки на фоні технологічного буму. За цикл ставка виросла з 4,75% до 6,5%, дохідність 10-річних облігацій пішла вище 6% (щось нагадує), а Nasdaq після першого підвищення ще встиг вирости приблизно на 88% до піку в березні 2000 року.
Тобто сам факт підвищення ставки зовсім не означає, що технологічне ралі має закінчитися завтра. І це важливий момент зараз, коли Nasdaq продовжує триматися біля максимумів навіть після першого підвищення ФРС.
Але в історії 1999 року є й друга половина, про яку згадують трохи рідше) Після піку Nasdaq у підсумку впав майже на 78%. Причому найболючіша частина падіння вже відбувалася тоді, коли ФРС почала ставки знижувати.
Тому я б не читав аналогію з 1999-м ні як сигнал що "все пропало", ні як аргумент "давайте купувати все, що пов’язане з AI". Висновок тут значно простіший: вищі ставки можуть досить довго співіснувати з сильним технологічним ринком. Але якщо на цьому фоні оцінки відриваються від фундаменталу, ризик просто накопичується, а не зникає.
І тут є важлива відмінність від дот-комів: сьогодні Nvidia, Microsoft, Meta, Amazon та інші AI-бенефіціари вже генерують величезні прибутки й грошові потоки. Тобто це не копія 1999 року. Так, зі всіма дата-центрами вони перетворились вже на "важкі" компанії, але різниця з дот-комами досить відчутні.
Але й повністю ігнорувати урок тієї історії я б не став. Підвищення ставки саме по собі не вбиває ралі. Набагато важливіше що відбувається з прибутками компаній, оцінками та тим, скільки інвестори готові платити за майбутнє.
Всім же бажаю гарного завершення тижня наскільки це взагалі можливо в наших умовах)
Микита Гуппал | ProІнвестиції
#InterestRates #Fed #DotComBubble #AIStocks
4
1.8k
·
--
උසබ තත්ත්වය
සත්යායනය කළ
Everyone is talking about AI. I'm more interested in what happens behind the screen.
NVIDIA's Jensen Huang recently said the company expects to sell twice as many chips next year.
Think about what that means.
It's not just a chip story.
It's data centers.
It's electricity.
It's networking.
It's cooling.
It's cloud infrastructure.
It's billions in capital spending.
And that's where the AI stock debate gets interesting.
The bullish argument is simple: demand is still expanding.
The other side asks whether companies can keep spending at this pace and eventually generate enough returns to justify it.
We've already seen AI-linked stocks move sharply as investors debate whether spending is accelerating or starting to peak.
So I'm curious.
Are we still early in the AI infrastructure cycle, or are expectations getting ahead of reality?
If you're trading the AI theme, don't just say BULLISH
Tell me which ticker you're watching and why.
Drop the AI stock you're watching 👇
$NVDA $AMD $AVGO
#AIStocksWhatNext #AIStocks #Nvda
Everyone is talking about AI. I'm more interested in what happens behind the screen.
NVIDIA's Jensen Huang recently said the company expects to sell twice as many chips next year.
Think about what that means.
It's not just a chip story.
It's data centers.
It's electricity.
It's networking.
It's cooling.
It's cloud infrastructure.
It's billions in capital spending.
And that's where the AI stock debate gets interesting.
The bullish argument is simple: demand is still expanding.
The other side asks whether companies can keep spending at this pace and eventually generate enough returns to justify it.
We've already seen AI-linked stocks move sharply as investors debate whether spending is accelerating or starting to peak.
So I'm curious.
Are we still early in the AI infrastructure cycle, or are expectations getting ahead of reality?
If you're trading the AI theme, don't just say BULLISH
Tell me which ticker you're watching and why.
Drop the AI stock you're watching 👇
$NVDA $AMD $AVGO
#AIStocksWhatNext #AIStocks #Nvda
NVIDIA's Jensen Huang recently said the company expects to sell twice as many chips next year.
Think about what that means.
It's not just a chip story.
It's data centers.
It's electricity.
It's networking.
It's cooling.
It's cloud infrastructure.
It's billions in capital spending.
And that's where the AI stock debate gets interesting.
The bullish argument is simple: demand is still expanding.
The other side asks whether companies can keep spending at this pace and eventually generate enough returns to justify it.
We've already seen AI-linked stocks move sharply as investors debate whether spending is accelerating or starting to peak.
So I'm curious.
Are we still early in the AI infrastructure cycle, or are expectations getting ahead of reality?
If you're trading the AI theme, don't just say BULLISH
Tell me which ticker you're watching and why.
Drop the AI stock you're watching 👇
$NVDA $AMD $AVGO
#AIStocksWhatNext #AIStocks #Nvda
2
7
1.9k
ලිපිය
THE BIGGER PICTURE AI Stocks What Next?#AIStocksWhatNext
@PositiveMindsGlobalResults | September 24, 2026
🚀 NVIDIA: AI DEMAND MEETS GEOPOLITICS
NVIDIA remains at the heart of the global AI infrastructure race.
Its data-center revenue recently surged 117% year over year to $89 billion, while management’s Q3 revenue guidance reached approximately $108 billion.
Meanwhile, CEO Jensen Huang is expected to attend the White House state dinner involving US President and Chinese President
For semiconductor investors, the bigger issue is what future U.S.-China discussions could mean for AI-chip exports, technology restrictions and access to the Chinese market.
🇺🇸🇨🇳 Washington and Beijing have also reportedly agreed to extend their trade truce until January 10, adding another important variable to the AI-chip outlook.
🔥 THE BIGGER PICTURE
AI is no longer simply a semiconductor story.
It is becoming a capital story, bond-market story, geopolitical story, infrastructure story and software story — all at the same time.
The next phase could place greater emphasis on companies demonstrating real AI revenue, infrastructure demand and sustainable monetization, rather than AI expectations alone.
⚠️ Strong AI growth does not mean every AI-related stock will perform the same way. Market conditions, valuations, interest rates, regulation and execution can produce very different outcomes across companies.
💬 THE BIG QUESTION
Will AI continue its expansion, enter a period of consolidation, or shift toward companies proving stronger real-world AI monetization?
What’s your view? Share your analysis below. 👇
#AI #ArtificialIntelligence #NVIDIA #NVDA #Meta #META #Microsoft #MSFT #IonQ #IONQ #QuantumComputing #AIStocks #Semiconductors #Nasdaq #WallStreet #StockMarket #TechStocks #Investing #AIInfrastructure #PositiveMindsGlobalResults
$BNB
{spot}(BNBUSDT)
{spot}(BTCUSDT)
THE BIGGER PICTURE AI Stocks What Next?
#AIStocksWhatNext
@PositiveMindsGlobalResults | September 24, 2026
🚀 NVIDIA: AI DEMAND MEETS GEOPOLITICS
NVIDIA remains at the heart of the global AI infrastructure race.
Its data-center revenue recently surged 117% year over year to $89 billion, while management’s Q3 revenue guidance reached approximately $108 billion.
Meanwhile, CEO Jensen Huang is expected to attend the White House state dinner involving US President and Chinese President
For semiconductor investors, the bigger issue is what future U.S.-China discussions could mean for AI-chip exports, technology restrictions and access to the Chinese market.
🇺🇸🇨🇳 Washington and Beijing have also reportedly agreed to extend their trade truce until January 10, adding another important variable to the AI-chip outlook.
🔥 THE BIGGER PICTURE
AI is no longer simply a semiconductor story.
It is becoming a capital story, bond-market story, geopolitical story, infrastructure story and software story — all at the same time.
The next phase could place greater emphasis on companies demonstrating real AI revenue, infrastructure demand and sustainable monetization, rather than AI expectations alone.
⚠️ Strong AI growth does not mean every AI-related stock will perform the same way. Market conditions, valuations, interest rates, regulation and execution can produce very different outcomes across companies.
💬 THE BIG QUESTION
Will AI continue its expansion, enter a period of consolidation, or shift toward companies proving stronger real-world AI monetization?
What’s your view? Share your analysis below. 👇
#AI #ArtificialIntelligence #NVIDIA #NVDA #Meta #META #Microsoft #MSFT #IonQ #IONQ #QuantumComputing #AIStocks #Semiconductors #Nasdaq #WallStreet #StockMarket #TechStocks #Investing #AIInfrastructure #PositiveMindsGlobalResults
$BNB
@PositiveMindsGlobalResults | September 24, 2026
🚀 NVIDIA: AI DEMAND MEETS GEOPOLITICS
NVIDIA remains at the heart of the global AI infrastructure race.
Its data-center revenue recently surged 117% year over year to $89 billion, while management’s Q3 revenue guidance reached approximately $108 billion.
Meanwhile, CEO Jensen Huang is expected to attend the White House state dinner involving US President and Chinese President
For semiconductor investors, the bigger issue is what future U.S.-China discussions could mean for AI-chip exports, technology restrictions and access to the Chinese market.
🇺🇸🇨🇳 Washington and Beijing have also reportedly agreed to extend their trade truce until January 10, adding another important variable to the AI-chip outlook.
🔥 THE BIGGER PICTURE
AI is no longer simply a semiconductor story.
It is becoming a capital story, bond-market story, geopolitical story, infrastructure story and software story — all at the same time.
The next phase could place greater emphasis on companies demonstrating real AI revenue, infrastructure demand and sustainable monetization, rather than AI expectations alone.
⚠️ Strong AI growth does not mean every AI-related stock will perform the same way. Market conditions, valuations, interest rates, regulation and execution can produce very different outcomes across companies.
💬 THE BIG QUESTION
Will AI continue its expansion, enter a period of consolidation, or shift toward companies proving stronger real-world AI monetization?
What’s your view? Share your analysis below. 👇
#AI #ArtificialIntelligence #NVIDIA #NVDA #Meta #META #Microsoft #MSFT #IonQ #IONQ #QuantumComputing #AIStocks #Semiconductors #Nasdaq #WallStreet #StockMarket #TechStocks #Investing #AIInfrastructure #PositiveMindsGlobalResults
$BNB
1
229
ලිපිය
AI STOCKS AT A CROSSROADS#AIStocksWhatNext
@PositiveMindsGlobalResults | September 24, 2026
The AI market is entering a more complex phase. Strong technology demand remains intact, but rising bond yields, massive capital commitments, geopolitical tensions and the rapid development of AI agents are creating a much more volatile investment landscape.
📉 1️⃣ BOND YIELDS CHALLENGE AI VALUATIONS
Wall Street came under pressure as the S&P 500 fell 0.8% and the Nasdaq declined 1.1% in the previous session.
The 10-year U.S. Treasury yield moved above 5.1%, increasing pressure on high-growth technology stocks. Higher yields can make future corporate earnings less attractive in present-value terms and encourage investors to reassess elevated valuations.
🚀 2️⃣ NVIDIA: AI DEMAND MEETS GEOPOLITICS
NVIDIA remains at the heart of the global AI infrastructure race.
Its data-center revenue recently surged 117% year over year to $89 billion, while management’s Q3 revenue guidance reached approximately $108 billion.
Meanwhile, CEO Jensen Huang is expected to attend the White House state dinner involving US President Donald Trump and Chinese President.
For semiconductor investors, the bigger issue is what future U.S.-China discussions could mean for AI-chip exports, technology restrictions and access to the Chinese market.
🇺🇸🇨🇳 Washington and Beijing have also reportedly agreed to extend their trade truce until January 10, adding another important variable to the AI-chip outlook.
💰 3️⃣ AI IS BECOMING A DEBT STORY
SoftBank is pursuing more than $11 billion in high-yield debt, with financing linked to its aggressive AI investment strategy, including its OpenAI exposure.
The scale of this financing highlights an important development: the AI boom is no longer being funded only through operating cash flow and equity markets. Debt is increasingly becoming part of the infrastructure race.
⚛️ 4️⃣ AI + QUANTUM: A NEW COMPUTING FRONTIER
IonQ announced plans to deploy its Superion 256 system at NVIDIA’s Accelerated Quantum Research Center in 2027.
The planned integration of quantum computing with accelerated computing infrastructure highlights a potentially important long-term trend: future computing systems could combine GPUs, AI accelerators and quantum processors for specialized workloads.
🧠 5️⃣ META’S MUSE AND THE SOFTWARE DISRUPTION
Meta’s AI assistant Muse is gaining significant consumer attention while expanding AI capabilities across areas such as shopping, travel and communications.
That raises a major question for the software and services economy:
If AI agents become the new interface between consumers and businesses, who controls the transaction?
The answer could influence everything from advertising and search to travel, commerce and digital marketplaces.
🔥 THE BIGGER PICTURE
AI is no longer simply a semiconductor story.
It is becoming a capital story, bond-market story, geopolitical story, infrastructure story and software story — all at the same time.
The next phase could place greater emphasis on companies demonstrating real AI revenue, infrastructure demand and sustainable monetization, rather than AI expectations alone.
⚠️ Strong AI growth does not mean every AI-related stock will perform the same way. Market conditions, valuations, interest rates, regulation and execution can produce very different outcomes across companies.
💬 THE BIG QUESTION
Will AI continue its expansion, enter a period of consolidation, or shift toward companies proving stronger real-world AI monetization?
What’s your view? Share your analysis below. 👇
#AI #ArtificialIntelligence #NVIDIA #NVDA #Meta #META #Microsoft #MSFT #IonQ #IONQ #QuantumComputing #AIStocks #Semiconductors #Nasdaq #WallStreet #StockMarket #TechStocks #Investing #AIInfrastructure #PositiveMindsGlobalResults
{spot}(BNBUSDT)
{spot}(BTCUSDT)
AI STOCKS AT A CROSSROADS
#AIStocksWhatNext
@PositiveMindsGlobalResults | September 24, 2026
The AI market is entering a more complex phase. Strong technology demand remains intact, but rising bond yields, massive capital commitments, geopolitical tensions and the rapid development of AI agents are creating a much more volatile investment landscape.
📉 1️⃣ BOND YIELDS CHALLENGE AI VALUATIONS
Wall Street came under pressure as the S&P 500 fell 0.8% and the Nasdaq declined 1.1% in the previous session.
The 10-year U.S. Treasury yield moved above 5.1%, increasing pressure on high-growth technology stocks. Higher yields can make future corporate earnings less attractive in present-value terms and encourage investors to reassess elevated valuations.
🚀 2️⃣ NVIDIA: AI DEMAND MEETS GEOPOLITICS
NVIDIA remains at the heart of the global AI infrastructure race.
Its data-center revenue recently surged 117% year over year to $89 billion, while management’s Q3 revenue guidance reached approximately $108 billion.
Meanwhile, CEO Jensen Huang is expected to attend the White House state dinner involving US President Donald Trump and Chinese President.
For semiconductor investors, the bigger issue is what future U.S.-China discussions could mean for AI-chip exports, technology restrictions and access to the Chinese market.
🇺🇸🇨🇳 Washington and Beijing have also reportedly agreed to extend their trade truce until January 10, adding another important variable to the AI-chip outlook.
💰 3️⃣ AI IS BECOMING A DEBT STORY
SoftBank is pursuing more than $11 billion in high-yield debt, with financing linked to its aggressive AI investment strategy, including its OpenAI exposure.
The scale of this financing highlights an important development: the AI boom is no longer being funded only through operating cash flow and equity markets. Debt is increasingly becoming part of the infrastructure race.
⚛️ 4️⃣ AI + QUANTUM: A NEW COMPUTING FRONTIER
IonQ announced plans to deploy its Superion 256 system at NVIDIA’s Accelerated Quantum Research Center in 2027.
The planned integration of quantum computing with accelerated computing infrastructure highlights a potentially important long-term trend: future computing systems could combine GPUs, AI accelerators and quantum processors for specialized workloads.
🧠 5️⃣ META’S MUSE AND THE SOFTWARE DISRUPTION
Meta’s AI assistant Muse is gaining significant consumer attention while expanding AI capabilities across areas such as shopping, travel and communications.
That raises a major question for the software and services economy:
If AI agents become the new interface between consumers and businesses, who controls the transaction?
The answer could influence everything from advertising and search to travel, commerce and digital marketplaces.
🔥 THE BIGGER PICTURE
AI is no longer simply a semiconductor story.
It is becoming a capital story, bond-market story, geopolitical story, infrastructure story and software story — all at the same time.
The next phase could place greater emphasis on companies demonstrating real AI revenue, infrastructure demand and sustainable monetization, rather than AI expectations alone.
⚠️ Strong AI growth does not mean every AI-related stock will perform the same way. Market conditions, valuations, interest rates, regulation and execution can produce very different outcomes across companies.
💬 THE BIG QUESTION
Will AI continue its expansion, enter a period of consolidation, or shift toward companies proving stronger real-world AI monetization?
What’s your view? Share your analysis below. 👇
#AI #ArtificialIntelligence #NVIDIA #NVDA #Meta #META #Microsoft #MSFT #IonQ #IONQ #QuantumComputing #AIStocks #Semiconductors #Nasdaq #WallStreet #StockMarket #TechStocks #Investing #AIInfrastructure #PositiveMindsGlobalResults
@PositiveMindsGlobalResults | September 24, 2026
The AI market is entering a more complex phase. Strong technology demand remains intact, but rising bond yields, massive capital commitments, geopolitical tensions and the rapid development of AI agents are creating a much more volatile investment landscape.
📉 1️⃣ BOND YIELDS CHALLENGE AI VALUATIONS
Wall Street came under pressure as the S&P 500 fell 0.8% and the Nasdaq declined 1.1% in the previous session.
The 10-year U.S. Treasury yield moved above 5.1%, increasing pressure on high-growth technology stocks. Higher yields can make future corporate earnings less attractive in present-value terms and encourage investors to reassess elevated valuations.
🚀 2️⃣ NVIDIA: AI DEMAND MEETS GEOPOLITICS
NVIDIA remains at the heart of the global AI infrastructure race.
Its data-center revenue recently surged 117% year over year to $89 billion, while management’s Q3 revenue guidance reached approximately $108 billion.
Meanwhile, CEO Jensen Huang is expected to attend the White House state dinner involving US President Donald Trump and Chinese President.
For semiconductor investors, the bigger issue is what future U.S.-China discussions could mean for AI-chip exports, technology restrictions and access to the Chinese market.
🇺🇸🇨🇳 Washington and Beijing have also reportedly agreed to extend their trade truce until January 10, adding another important variable to the AI-chip outlook.
💰 3️⃣ AI IS BECOMING A DEBT STORY
SoftBank is pursuing more than $11 billion in high-yield debt, with financing linked to its aggressive AI investment strategy, including its OpenAI exposure.
The scale of this financing highlights an important development: the AI boom is no longer being funded only through operating cash flow and equity markets. Debt is increasingly becoming part of the infrastructure race.
⚛️ 4️⃣ AI + QUANTUM: A NEW COMPUTING FRONTIER
IonQ announced plans to deploy its Superion 256 system at NVIDIA’s Accelerated Quantum Research Center in 2027.
The planned integration of quantum computing with accelerated computing infrastructure highlights a potentially important long-term trend: future computing systems could combine GPUs, AI accelerators and quantum processors for specialized workloads.
🧠 5️⃣ META’S MUSE AND THE SOFTWARE DISRUPTION
Meta’s AI assistant Muse is gaining significant consumer attention while expanding AI capabilities across areas such as shopping, travel and communications.
That raises a major question for the software and services economy:
If AI agents become the new interface between consumers and businesses, who controls the transaction?
The answer could influence everything from advertising and search to travel, commerce and digital marketplaces.
🔥 THE BIGGER PICTURE
AI is no longer simply a semiconductor story.
It is becoming a capital story, bond-market story, geopolitical story, infrastructure story and software story — all at the same time.
The next phase could place greater emphasis on companies demonstrating real AI revenue, infrastructure demand and sustainable monetization, rather than AI expectations alone.
⚠️ Strong AI growth does not mean every AI-related stock will perform the same way. Market conditions, valuations, interest rates, regulation and execution can produce very different outcomes across companies.
💬 THE BIG QUESTION
Will AI continue its expansion, enter a period of consolidation, or shift toward companies proving stronger real-world AI monetization?
What’s your view? Share your analysis below. 👇
#AI #ArtificialIntelligence #NVIDIA #NVDA #Meta #META #Microsoft #MSFT #IonQ #IONQ #QuantumComputing #AIStocks #Semiconductors #Nasdaq #WallStreet #StockMarket #TechStocks #Investing #AIInfrastructure #PositiveMindsGlobalResults
1
145
සත්යායනය කළ
ලිපිය
AI BOOM 2026: THE REAL WINNERS MAY BE BEHIND THE SCREENS@ThinkPositiveGlobal | @Binance_Square_Official I #AIStocks
September 24, 2026
The AI investment story is evolving.
The first phase was dominated by GPUs and foundation models. The next phase is increasingly about the infrastructure required to run AI at enormous scale — memory, storage, CPUs, networking and data-center systems.
And the numbers are getting difficult to ignore.
💾 1. AI Infrastructure Is Expanding Beyond GPUs
Companies such as Dell, Micron and Western Digital have benefited from the enormous buildout of AI infrastructure.
Western Digital says AI is creating a structural increase in data-storage requirements. Its recent IDC-backed research found that 61% of surveyed organizations experienced at least 25% data growth over the past year because of AI, while 74% expect similar growth over the next three years.
That matters because AI does not simply consume computing power — it creates enormous quantities of data that must be stored, retrieved and processed.
📈 2. NVIDIA: Record Growth, But a Different Valuation Story
NVIDIA remains central to the AI infrastructure cycle.
Its latest quarterly results showed $96.2 billion in revenue, up 106% year over year, with Data Center revenue reaching $89 billion, up 117%. Gross margin was approximately 75%.
Even more striking, NVIDIA management said it expects approximately 70% revenue growth in fiscal 2028, while describing demand as supply-constrained.
Yet the stock’s valuation has compressed sharply. Recent reporting puts NVIDIA below 17× forward earnings, close to its lowest valuation level in more than a decade.
This creates an unusual market debate:
Can AI earnings continue accelerating faster than investors reduce the valuation multiple?
🤖 3. The Agentic AI Revolution Changes the Hardware Equation
This may be the most important development.
Traditional generative AI primarily focused on answering prompts. Agentic AI is designed to perform multi-step tasks autonomously — planning, executing, checking results and interacting with software.
That changes infrastructure requirements.
AMD itself argues that agentic AI can create demand for additional CPU infrastructure alongside GPU systems.
Meta’s Muse has provided a real-world example of this shift. Its rapid adoption has helped revive investor attention around CPUs and AI inference infrastructure, with AMD eventually crossing the $1 trillion market-capitalization milestone on September 21.
⚡ 4. AMD’s $1 Trillion Milestone Is More Than a Number
AMD’s rise reflects a broader market question:
What happens when AI moves from training models to continuously operating agents?
The answer could involve substantially more demand for CPUs, memory, networking, storage and power — not simply more GPUs.
AMD’s market capitalization reached approximately $1 trillion in September 2026, while its shares had gained roughly 185% during the year at the time of the milestone.
Meanwhile, Micron’s next major test arrives on September 30, when it is scheduled to report fiscal Q4 results.
🔎 THE BIGGER PICTURE
The AI trade is becoming an entire infrastructure ecosystem:
GPU → CPU → Memory → Storage → Networking → Power → Data Centers → AI Agents
The most important question for investors may no longer be simply:
“Who builds the best AI model?”
It may increasingly become:
“Who supplies everything required to keep billions of AI operations running?”
That is where the next phase of the AI infrastructure story could become especially important.
⚠️ Market Note: Strong historical performance does not guarantee future returns. AI infrastructure companies also face valuation risk, cyclical demand, capital-spending fluctuations, competition, supply constraints and macroeconomic pressure.
Do your own research (DYOR). This is educational content, not financial advice.
#PositiveMindsGlobalResults #ThinkPositiveGlobal #BinanceSquare #AI #ArtificialIntelligence #NVIDIA #NVDA #AMD #Micron #MU #Dell #DELL #WesternDigital #WDC #AIStocks #Semiconductors #AgenticAI #DataCenters #TechStocks #BreakingNews
{spot}(BNBUSDT)
{spot}(BTCUSDT)
AI BOOM 2026: THE REAL WINNERS MAY BE BEHIND THE SCREENS
@PositiveMindsGlobalResults | @Binance Square Official I #AIStocks
September 24, 2026
The AI investment story is evolving.
The first phase was dominated by GPUs and foundation models. The next phase is increasingly about the infrastructure required to run AI at enormous scale — memory, storage, CPUs, networking and data-center systems.
And the numbers are getting difficult to ignore.
💾 1. AI Infrastructure Is Expanding Beyond GPUs
Companies such as Dell, Micron and Western Digital have benefited from the enormous buildout of AI infrastructure.
Western Digital says AI is creating a structural increase in data-storage requirements. Its recent IDC-backed research found that 61% of surveyed organizations experienced at least 25% data growth over the past year because of AI, while 74% expect similar growth over the next three years.
That matters because AI does not simply consume computing power — it creates enormous quantities of data that must be stored, retrieved and processed.
📈 2. NVIDIA: Record Growth, But a Different Valuation Story
NVIDIA remains central to the AI infrastructure cycle.
Its latest quarterly results showed $96.2 billion in revenue, up 106% year over year, with Data Center revenue reaching $89 billion, up 117%. Gross margin was approximately 75%.
Even more striking, NVIDIA management said it expects approximately 70% revenue growth in fiscal 2028, while describing demand as supply-constrained.
Yet the stock’s valuation has compressed sharply. Recent reporting puts NVIDIA below 17× forward earnings, close to its lowest valuation level in more than a decade.
This creates an unusual market debate:
Can AI earnings continue accelerating faster than investors reduce the valuation multiple?
🤖 3. The Agentic AI Revolution Changes the Hardware Equation
This may be the most important development.
Traditional generative AI primarily focused on answering prompts. Agentic AI is designed to perform multi-step tasks autonomously — planning, executing, checking results and interacting with software.
That changes infrastructure requirements.
AMD itself argues that agentic AI can create demand for additional CPU infrastructure alongside GPU systems.
Meta’s Muse has provided a real-world example of this shift. Its rapid adoption has helped revive investor attention around CPUs and AI inference infrastructure, with AMD eventually crossing the $1 trillion market-capitalization milestone on September 21.
⚡ 4. AMD’s $1 Trillion Milestone Is More Than a Number
AMD’s rise reflects a broader market question:
What happens when AI moves from training models to continuously operating agents?
The answer could involve substantially more demand for CPUs, memory, networking, storage and power — not simply more GPUs.
AMD’s market capitalization reached approximately $1 trillion in September 2026, while its shares had gained roughly 185% during the year at the time of the milestone.
Meanwhile, Micron’s next major test arrives on September 30, when it is scheduled to report fiscal Q4 results.
🔎 THE BIGGER PICTURE
The AI trade is becoming an entire infrastructure ecosystem:
GPU → CPU → Memory → Storage → Networking → Power → Data Centers → AI Agents
The most important question for investors may no longer be simply:
“Who builds the best AI model?”
It may increasingly become:
“Who supplies everything required to keep billions of AI operations running?”
That is where the next phase of the AI infrastructure story could become especially important.
⚠️ Market Note: Strong historical performance does not guarantee future returns. AI infrastructure companies also face valuation risk, cyclical demand, capital-spending fluctuations, competition, supply constraints and macroeconomic pressure.
Do your own research (DYOR). This is educational content, not financial advice.
#PositiveMindsGlobalResults #ThinkPositiveGlobal #BinanceSquare #AI #ArtificialIntelligence #NVIDIA #NVDA #AMD #Micron #MU #Dell #DELL #WesternDigital #WDC #AIStocks #Semiconductors #AgenticAI #DataCenters #TechStocks #BreakingNews
September 24, 2026
The AI investment story is evolving.
The first phase was dominated by GPUs and foundation models. The next phase is increasingly about the infrastructure required to run AI at enormous scale — memory, storage, CPUs, networking and data-center systems.
And the numbers are getting difficult to ignore.
💾 1. AI Infrastructure Is Expanding Beyond GPUs
Companies such as Dell, Micron and Western Digital have benefited from the enormous buildout of AI infrastructure.
Western Digital says AI is creating a structural increase in data-storage requirements. Its recent IDC-backed research found that 61% of surveyed organizations experienced at least 25% data growth over the past year because of AI, while 74% expect similar growth over the next three years.
That matters because AI does not simply consume computing power — it creates enormous quantities of data that must be stored, retrieved and processed.
📈 2. NVIDIA: Record Growth, But a Different Valuation Story
NVIDIA remains central to the AI infrastructure cycle.
Its latest quarterly results showed $96.2 billion in revenue, up 106% year over year, with Data Center revenue reaching $89 billion, up 117%. Gross margin was approximately 75%.
Even more striking, NVIDIA management said it expects approximately 70% revenue growth in fiscal 2028, while describing demand as supply-constrained.
Yet the stock’s valuation has compressed sharply. Recent reporting puts NVIDIA below 17× forward earnings, close to its lowest valuation level in more than a decade.
This creates an unusual market debate:
Can AI earnings continue accelerating faster than investors reduce the valuation multiple?
🤖 3. The Agentic AI Revolution Changes the Hardware Equation
This may be the most important development.
Traditional generative AI primarily focused on answering prompts. Agentic AI is designed to perform multi-step tasks autonomously — planning, executing, checking results and interacting with software.
That changes infrastructure requirements.
AMD itself argues that agentic AI can create demand for additional CPU infrastructure alongside GPU systems.
Meta’s Muse has provided a real-world example of this shift. Its rapid adoption has helped revive investor attention around CPUs and AI inference infrastructure, with AMD eventually crossing the $1 trillion market-capitalization milestone on September 21.
⚡ 4. AMD’s $1 Trillion Milestone Is More Than a Number
AMD’s rise reflects a broader market question:
What happens when AI moves from training models to continuously operating agents?
The answer could involve substantially more demand for CPUs, memory, networking, storage and power — not simply more GPUs.
AMD’s market capitalization reached approximately $1 trillion in September 2026, while its shares had gained roughly 185% during the year at the time of the milestone.
Meanwhile, Micron’s next major test arrives on September 30, when it is scheduled to report fiscal Q4 results.
🔎 THE BIGGER PICTURE
The AI trade is becoming an entire infrastructure ecosystem:
GPU → CPU → Memory → Storage → Networking → Power → Data Centers → AI Agents
The most important question for investors may no longer be simply:
“Who builds the best AI model?”
It may increasingly become:
“Who supplies everything required to keep billions of AI operations running?”
That is where the next phase of the AI infrastructure story could become especially important.
⚠️ Market Note: Strong historical performance does not guarantee future returns. AI infrastructure companies also face valuation risk, cyclical demand, capital-spending fluctuations, competition, supply constraints and macroeconomic pressure.
Do your own research (DYOR). This is educational content, not financial advice.
#PositiveMindsGlobalResults #ThinkPositiveGlobal #BinanceSquare #AI #ArtificialIntelligence #NVIDIA #NVDA #AMD #Micron #MU #Dell #DELL #WesternDigital #WDC #AIStocks #Semiconductors #AgenticAI #DataCenters #TechStocks #BreakingNews
277
සත්යායනය කළ
#aistockswhatnext
Nvidia just said chip sales could double next year. Every major AI company is posting record revenue. And yet — the real question isn't "is AI growing," it's "how much of this growth is already priced in?"
Here's my honest take: I'm cautiously bullish, not blindly bullish. The compute demand is real — data centers, chips, infrastructure spend are all backed by actual enterprise adoption, not just hype. That's different from previous bubbles where valuation ran ahead of any real product.
But the political layer adds risk most people aren't pricing in. On one side, industry leaders are calling to slow AI development down. On the other, there's talk of state-level backing — even an "AI Force" — with claims AI could drive 25% of U.S. GDP eventually. That's a massive claim, and massive claims cut both ways: if it plays out, early AI holders win big. If sentiment shifts or regulation tightens, the correction could be sharp.
My approach: I'm not chasing every AI ticker that's up this month. I'm watching companies with actual earnings behind the AI narrative, not just AI mentioned in the pitch deck. Compute demand looks structural, not seasonal — but position sizing still matters more than conviction right now.
Where do you stand — is this a real breakout, or a story that's gotten ahead of the fundamentals? Drop your take below 👇
#AIStocksWhatNext #AIStocks #Investing
{spot}(NVDABUSDT)
{spot}(AAPLBUSDT)
#aistockswhatnext
Nvidia just said chip sales could double next year. Every major AI company is posting record revenue. And yet — the real question isn't "is AI growing," it's "how much of this growth is already priced in?"
Here's my honest take: I'm cautiously bullish, not blindly bullish. The compute demand is real — data centers, chips, infrastructure spend are all backed by actual enterprise adoption, not just hype. That's different from previous bubbles where valuation ran ahead of any real product.
But the political layer adds risk most people aren't pricing in. On one side, industry leaders are calling to slow AI development down. On the other, there's talk of state-level backing — even an "AI Force" — with claims AI could drive 25% of U.S. GDP eventually. That's a massive claim, and massive claims cut both ways: if it plays out, early AI holders win big. If sentiment shifts or regulation tightens, the correction could be sharp.
My approach: I'm not chasing every AI ticker that's up this month. I'm watching companies with actual earnings behind the AI narrative, not just AI mentioned in the pitch deck. Compute demand looks structural, not seasonal — but position sizing still matters more than conviction right now.
Where do you stand — is this a real breakout, or a story that's gotten ahead of the fundamentals? Drop your take below 👇
#AIStocksWhatNext #AIStocks #Investing
Nvidia just said chip sales could double next year. Every major AI company is posting record revenue. And yet — the real question isn't "is AI growing," it's "how much of this growth is already priced in?"
Here's my honest take: I'm cautiously bullish, not blindly bullish. The compute demand is real — data centers, chips, infrastructure spend are all backed by actual enterprise adoption, not just hype. That's different from previous bubbles where valuation ran ahead of any real product.
But the political layer adds risk most people aren't pricing in. On one side, industry leaders are calling to slow AI development down. On the other, there's talk of state-level backing — even an "AI Force" — with claims AI could drive 25% of U.S. GDP eventually. That's a massive claim, and massive claims cut both ways: if it plays out, early AI holders win big. If sentiment shifts or regulation tightens, the correction could be sharp.
My approach: I'm not chasing every AI ticker that's up this month. I'm watching companies with actual earnings behind the AI narrative, not just AI mentioned in the pitch deck. Compute demand looks structural, not seasonal — but position sizing still matters more than conviction right now.
Where do you stand — is this a real breakout, or a story that's gotten ahead of the fundamentals? Drop your take below 👇
#AIStocksWhatNext #AIStocks #Investing
2
1.3k
·
--
උසබ තත්ත්වය
සත්යායනය කළ
🤖🔥 AI STOCKS: ¿ESTAMOS ANTE EL PRÓXIMO GRAN BOOM O EN EL PICO DE LA EUFORIA?
Hay un dato que me parece imposible ignorar:
NVIDIA ($NVDA ) dice que la demanda de sus chips podría permitirle duplicar sus ventas, aunque las limitaciones de suministro hacen que la compañía espere aproximadamente 70% de crecimiento.
Para mí, esto cambia la pregunta.
Ya no es solamente:
👉 “¿La IA está creciendo?”
La evidencia de demanda es enorme.
La pregunta real es:
¿CUÁNTO TIEMPO PUEDE DURAR ESTE NIVEL DE INVERSIÓN?
Microsoft, Meta, Amazon, Google y otros gigantes están gastando enormes cantidades en infraestructura para IA.
📈 MI POSTURA: BULLISH
Estoy siguiendo NVDA porque sigue siendo una de las formas más directas de exposición al crecimiento de la infraestructura de IA.
Pero no compraría cualquier precio.
Quiero ver que el crecimiento de ingresos, la demanda de chips y el gasto en infraestructura continúen justificando las valuaciones actuales.
⚠️ El riesgo también es real.
Goldman Sachs advierte que el impulso de las inversiones en IA podría empezar a perder fuerza como motor del crecimiento de beneficios en 2027.
Por eso mi estrategia es:
🟢 BULLISH: mantener exposición a AI mientras la demanda siga acelerándose.
🔴 BEARISH: si empiezan a aparecer señales de menor capex, caída de márgenes o desaceleración de pedidos, reduciría exposición.
Y hay otro factor interesante: EE.UU. está aumentando su respaldo estratégico al desarrollo de IA, mientras el debate sobre regulación y seguridad tecnológica continúa.
🔥 La pregunta para mí no es si la IA es una tendencia.
La pregunta es si estamos al principio de una transformación de varios años…
o si el mercado ya está descontando demasiado futuro.
👇 ¿BULLISH o BEARISH con AI STOCKS?
📈 Si tenés NVDA, AMD, AVGO, TSM u otra acción relacionada con IA, compartí tu operación/posición con el Trade Sharing Widget y contame tu entrada.
¿AI STOCKS todavía tienen recorrido? 🤖🚀
#AIStocksWhatNext #NVDA #AIStocks #ArtificialIntelligence
🤖🔥 AI STOCKS: ¿ESTAMOS ANTE EL PRÓXIMO GRAN BOOM O EN EL PICO DE LA EUFORIA?
Hay un dato que me parece imposible ignorar:
NVIDIA ($NVDA ) dice que la demanda de sus chips podría permitirle duplicar sus ventas, aunque las limitaciones de suministro hacen que la compañía espere aproximadamente 70% de crecimiento.
Para mí, esto cambia la pregunta.
Ya no es solamente:
👉 “¿La IA está creciendo?”
La evidencia de demanda es enorme.
La pregunta real es:
¿CUÁNTO TIEMPO PUEDE DURAR ESTE NIVEL DE INVERSIÓN?
Microsoft, Meta, Amazon, Google y otros gigantes están gastando enormes cantidades en infraestructura para IA.
📈 MI POSTURA: BULLISH
Estoy siguiendo NVDA porque sigue siendo una de las formas más directas de exposición al crecimiento de la infraestructura de IA.
Pero no compraría cualquier precio.
Quiero ver que el crecimiento de ingresos, la demanda de chips y el gasto en infraestructura continúen justificando las valuaciones actuales.
⚠️ El riesgo también es real.
Goldman Sachs advierte que el impulso de las inversiones en IA podría empezar a perder fuerza como motor del crecimiento de beneficios en 2027.
Por eso mi estrategia es:
🟢 BULLISH: mantener exposición a AI mientras la demanda siga acelerándose.
🔴 BEARISH: si empiezan a aparecer señales de menor capex, caída de márgenes o desaceleración de pedidos, reduciría exposición.
Y hay otro factor interesante: EE.UU. está aumentando su respaldo estratégico al desarrollo de IA, mientras el debate sobre regulación y seguridad tecnológica continúa.
🔥 La pregunta para mí no es si la IA es una tendencia.
La pregunta es si estamos al principio de una transformación de varios años…
o si el mercado ya está descontando demasiado futuro.
👇 ¿BULLISH o BEARISH con AI STOCKS?
📈 Si tenés NVDA, AMD, AVGO, TSM u otra acción relacionada con IA, compartí tu operación/posición con el Trade Sharing Widget y contame tu entrada.
¿AI STOCKS todavía tienen recorrido? 🤖🚀
#AIStocksWhatNext #NVDA #AIStocks #ArtificialIntelligence
Hay un dato que me parece imposible ignorar:
NVIDIA ($NVDA ) dice que la demanda de sus chips podría permitirle duplicar sus ventas, aunque las limitaciones de suministro hacen que la compañía espere aproximadamente 70% de crecimiento.
Para mí, esto cambia la pregunta.
Ya no es solamente:
👉 “¿La IA está creciendo?”
La evidencia de demanda es enorme.
La pregunta real es:
¿CUÁNTO TIEMPO PUEDE DURAR ESTE NIVEL DE INVERSIÓN?
Microsoft, Meta, Amazon, Google y otros gigantes están gastando enormes cantidades en infraestructura para IA.
📈 MI POSTURA: BULLISH
Estoy siguiendo NVDA porque sigue siendo una de las formas más directas de exposición al crecimiento de la infraestructura de IA.
Pero no compraría cualquier precio.
Quiero ver que el crecimiento de ingresos, la demanda de chips y el gasto en infraestructura continúen justificando las valuaciones actuales.
⚠️ El riesgo también es real.
Goldman Sachs advierte que el impulso de las inversiones en IA podría empezar a perder fuerza como motor del crecimiento de beneficios en 2027.
Por eso mi estrategia es:
🟢 BULLISH: mantener exposición a AI mientras la demanda siga acelerándose.
🔴 BEARISH: si empiezan a aparecer señales de menor capex, caída de márgenes o desaceleración de pedidos, reduciría exposición.
Y hay otro factor interesante: EE.UU. está aumentando su respaldo estratégico al desarrollo de IA, mientras el debate sobre regulación y seguridad tecnológica continúa.
🔥 La pregunta para mí no es si la IA es una tendencia.
La pregunta es si estamos al principio de una transformación de varios años…
o si el mercado ya está descontando demasiado futuro.
👇 ¿BULLISH o BEARISH con AI STOCKS?
📈 Si tenés NVDA, AMD, AVGO, TSM u otra acción relacionada con IA, compartí tu operación/posición con el Trade Sharing Widget y contame tu entrada.
¿AI STOCKS todavía tienen recorrido? 🤖🚀
#AIStocksWhatNext #NVDA #AIStocks #ArtificialIntelligence
704
·
--
ලිපිය
AI Infrastructure Still Dominates#AIStocksWhatNext $NVDAB trade still alive.
Memory & infrastructure names leading. Hyperscaler CapEx remains elevated.
Next phase? Broader supply chain, power constraints, and real enterprise ROI.
Nvidia still the king.
But the real alpha is shifting to the picks-and-shovels that feed the machines.
Volatility is normal.
The AI cycle isn’t done.
#AI #Semiconductors #AIStocks #ZECBreaksAbove$1600AtRecordHigh #BitwiseNEARStakingETPAssetsTop$100M
AI Infrastructure Still Dominates
#AIStocksWhatNext $NVDAB trade still alive.
Memory & infrastructure names leading. Hyperscaler CapEx remains elevated.
Next phase? Broader supply chain, power constraints, and real enterprise ROI.
Nvidia still the king.
But the real alpha is shifting to the picks-and-shovels that feed the machines.
Volatility is normal.
The AI cycle isn’t done.
#AI #Semiconductors #AIStocks #ZECBreaksAbove$1600AtRecordHigh #BitwiseNEARStakingETPAssetsTop$100M
Memory & infrastructure names leading. Hyperscaler CapEx remains elevated.
Next phase? Broader supply chain, power constraints, and real enterprise ROI.
Nvidia still the king.
But the real alpha is shifting to the picks-and-shovels that feed the machines.
Volatility is normal.
The AI cycle isn’t done.
#AI #Semiconductors #AIStocks #ZECBreaksAbove$1600AtRecordHigh #BitwiseNEARStakingETPAssetsTop$100M
111
තවත් අන්තර්ගතයන් ගවේෂණය කිරීමට ඇතුල් වන්න
Binance චතුරශ්රය හි ගෝලීය ක්රිප්ටෝ පරිශීලකයින් හා එක්වන්න
⚡️ ක්රිප්ටෝ පිළිබඳ නවතම සහ ප්රයෝජනවත් තොරතුරු ලබා ගන්න.
💬 ලොව විශාලතම ක්රිප්ටෝ හුවමාරුව මගින් විශ්වාස කෙරේ.
👍 සත්යායනය කරන ලද නිර්මාණකරුවන්ගෙන් සැබෑ විදසුන් සොයා ගන්න.
විද්යුත් තැපෑල / දුරකථන අංකය
නැගී එන මාතෘකා
1
#EthereumSurpasses2500USDT
16,324 views
235 සාකච්ඡා කරමින්
2
#StateCouncilCallsForNationalBlockchainNetwork
7,934 views
279 සාකච්ඡා කරමින්
3
#XRPLedgerPatchesXRPCreationBug
152,850 views
1,375 සාකච්ඡා කරමින්
4
#STRKRisesAbout20%In24Hours
149,472 views
1,513 සාකච්ඡා කරමින්
5
#TetherFreezesUSDTLinkedToLedgerTheft
54,819 views
977 සාකච්ඡා කරමින්
6
#CFTCMovesToFoldEventContractsIntoSwapsRules
21,577 views
619 සාකච්ඡා කරමින්
7
#LedgerPausesCryptoBilisSales
38,556 views
541 සාකච්ඡා කරමින්
8
#EvernorthCompletesSPACMergerWithArmadaII
27,621 views
386 සාකච්ඡා කරමින්
9
#NEARAccountsSupportPostQuantumMLDSA
26,670 views
309 සාකච්ඡා කරමින්
10
#B3PlansSecuritiesTokenizationPlatformForFirstHalfOf2027
1,513 views
39 සාකච්ඡා කරමින්