To The Moon

Three very different technology stories hit the market in the same session. China reportedly began producing domestically developed immersion DUV lithography machines, pressuring ASML and the broader semiconductor-equipment sector. $NVIDIA(NVDA)$ fell about 5% as investors questioned how deeply the chip leader may become financially involved with the companies buying its hardware. Meanwhile, $Apple(AAPL)$ reached a record closing high and reclaimed the title of the world’s most valuable listed company. Together, these moves suggest that the market is changing the way it values technology companies. The new questions are becoming clearer: Who controls a critical bottleneck? Who is taking on the financial r

For the past month, the market has been whispering that the AI trade is done. Memory stocks took the brunt of it, on the belief that chip prices had peaked. Their share prices fell hard. Alphabet’s guidance says otherwise. Higher capex and a shortage of AI cloud compute mean the spending cycle is still running. Alphabet has stopped its share buyback because it needs the cash for AI, while it continues to issue stock to raise funds and to reward employees with options. Share count is up 1.2% in six months. That is dilution, and it is new. Previously the buybacks more than offset the issuance. On top of that, Alphabet took on $19.1B of mandatory convertible preferred shares and $56.2B of debt. And the fundraising is not ending soon. Roughly $106B of securities are expected to be issued over

Yes, but the market is now demanding evidence that the spending produces cash returns. Alphabet’s underlying Q2 numbers were actually formidable: revenue +24%, Search +17%, Cloud +82% to US$24.8 billion, while Cloud operating margin reached roughly 35.6%. That suggests AI infrastructure is already generating meaningful revenue rather than being purely speculative spending.  The concern is the sheer scale. Alphabet lifted 2026 capex guidance to US$195–205 billion, while Q2 capex reached US$44.9 billion and free cash flow fell to negative US$5.9 billion.  I therefore see the 6.9% decline primarily as a valuation reset, not yet a thesis break. Alphabet has perhaps the strongest ability to absorb AI spending because Search, YouTube and Cloud provide enormous monetisation channels. Cl

Yes because everyone uses google.

Last night’s selloff felt like more than a normal pullback. The Nasdaq fell 2.15%, while the VIX jumped more than 12% to 18.7. $Tesla(TSLA)$ plunged 14.53%, and $Alphabet(GOOGL)$ dropped 7.13%. By several market estimates, the Magnificent Seven lost close to $800 billion in market value in a single session. At the same time, Brent crude moved above $100 per barrel and Treasury yields climbed. Two pressures hit growth stocks together: AI return concerns and renewed inflation risk. A week ago, the market was still rewarding companies for spending more aggressively on AI. Now investors are asking a harder question: When will all that spending turn into profit and free cash flow? 1. The capex scare finally a

What does it mean to turn negative free cash flow? These companies will have to start borrowing heavily, issuing corporate bonds, and even increase capital to support AI infrastructure investment. Credit risk will gradually increase. Alphabet has already led this—almost $50 billion in equity financing plus $100 billion in debt raising. When the arms race of AI forced the world's most profitable group of companies from cash cow to borrowers, the whole valuation framework of technology stocks was being rewritten.

Alphabet Q2 revenue increased by 24% to $119.8 billion annually, and operating revenue increased by 30% to $40.8 billion. But free cash flow fell to minus $5.9 billion, because capital expenditure reached a record $44.9 billion.

To raise funds, Alphabet issued Class A and C shares and Mandatory Convertible preferred shares in June, raising $49.6 billion net. There was also a rights issue plan of up to $40 billion. For the first time in history, the world's largest digital advertising monopoly has had to reach out to capital markets because it spent too much money.

"Curse of Winners" by AI Capex Alphabet - the most profitable company on the planet, cash flow is showing red for the first time

Most Investors Understand AI Infrastructure. Few Understand AI Monetization. The AI Highway $NVIDIA(NVDA)$   Imagine AI as a highway. Layer 1 – AI Compute (Road Builders) * NVIDIA, AMD, TSMC * They build the foundation of the highway. Layer 2 – AI Memory (Construction Materials) * Micron, SK Hynix, Samsung  * They provide the memory needed to power AI. Layer 3 – AI Networking (Road Network) * Broadcom, Marvell, Arista, Cisco, Nokia * They connect the entire AI ecosystem. Layer 4 – Hyperscalers (Highway Operators) * Microsoft, AMZN, $Alphabet(GOOG)$   * They build, own and operate the AI infrastructure. Layer 5 – AI Monetization (Businesses on th

AI as a Highway Layer 1 – AI Compute (Road Builders) •NVDA, AMD, TSM build the foundation of the highway. Layer 2 – AI Memory (Construction Materials) •MU, SK.HY, Samsung They provide the memory needed to power AI. Layer 3 – AI Networking (Road Network) •Broadcom, Marvell, Arista, Cisco, Nokia They connect the entire AI ecosystem. Layer 4 – Hyperscalers (Highway Operators) * Microsoft, Amazon, Google, Meta They build, own and operate the AI infrastructure. Layer 5 – AI Monetization (Businesses on the Highway) * Microsoft Copilot, Palantir, Salesforce, ServiceNow, Gemini, AWS They transform AI infrastructure into products and services that customers pay for. Layer 6 – Customers (Drivers) * Enterprises, Governments and Consumers  They use AI and ultimately fund the ecosystem. The Key Ta

Google's AI Gamble: $811 Billion in Future Commitments Sparks Wall Street Debate Google's latest filing has shocked investors. The company revealed $811 billion in future spending commitments, an increase of nearly $500 billion in just one quarter. These commitments are separate from its already massive $180-190 billion annual capital expenditure (CapEx) budget. This isn't just about spending more money. It's about locking up the world's most valuable AI resources before competitors can get them. The AI Infrastructure Race Is Heating Up Google is aggressively securing long-term supply agreements for: - AI chips (TPUs and GPUs) - Data centers - Electricity capacity - Networking equipment - Hardware inventory - AI-related content and software licenses In today's AI boom, computing power and

Buy the dip guys, Google is cheap now.

Buy the dip$Alphabet(GOOG)$  

Buying opportunitiy is now!!

Bull or bear, bull or bear......  bearish this week, bullish next week ↗️↗️↗️↗️↗️↗️↗️↗️

Disclaimer: Nothing I say or post should be considered financial advice. Please do your own due diligence before making any investment decisions. $Alphabet(GOOGL)$ GOOGL got absolutely hammered pre-market even though they beat market expectations on earnings, increasing their capex spend on AI-related technology. However, investors are not confident that GOOGL can cope with these goals and decide to sell off.  So the bottom line is a clear earnings beat does not always reflect in the stock movement. There are many layers of consideration in place, this is the exact reason why I do not trade earnings. With that said. I still believe in the business model and market cap that GOOGL has, it will be just a short term tai

This looks more like a valuation reset than a deterioration in the business. Alphabet's underlying fundamentals remain strong: Cloud revenue growth of 82% YoY suggests AI demand is accelerating, not slowing. Management says demand exceeds capacity, implying additional investment is driven by customer demand rather than speculative spending. Search, Cloud and AI together give Alphabet multiple earnings engines. The concern is that higher capex delays free cash flow expansion and compresses near-term returns, prompting investors to lower the valuation multiple even if long-term earnings potential improves. For long-term investors, that can create an opportunity, provided they believe management will convert today's AI spending into future cash flows. The key metrics to watch are Cloud operat

Alphabet, Tesla and IBM reported earnings on the same night—and together they offered one of the clearest snapshots yet of where the AI spending cycle stands. Google showed that AI infrastructure can already drive explosive cloud growth. Tesla showed how quickly AI, robotaxi and robotics investment can consume cash before those businesses generate meaningful revenue. IBM showed another side of the cycle: corporate customers are prioritizing scarce servers, memory and storage, while some traditional IT projects are being delayed. The market is moving past a simple question—“Who is investing in AI?”—and focusing on something harder: Who can turn AI spending into revenue, margins and free cash flow? Google: AI demand is turning into cloud revenue Alphabet delivered the strongest operating gro

$Alphabet(GOOG)$’s second-quarter results presented investors with a striking contradiction. The company’s artificial-intelligence investments are producing some of the fastest growth in its history, yet the scale of spending required to sustain that growth is beginning to overshadow the operating performance. $Alphabet(GOOGL)$ released its results on July 22, 2026, for the quarter ended June 30, 2026. Revenue increased 24% year over year to $119.8 billion, marking the company’s 12th consecutive quarter of double-digit growth. Google Services revenue rose 15% to $94.5 billion, including 17% growth in Search and other revenue, 13% growth in YouTube advertising and 15% growth in subscriptions, platforms an

Three very different technology stories hit the market in the same session. China reportedly began producing domestically developed immersion DUV lithography machines, pressuring ASML and the broader semiconductor-equipment sector. $NVIDIA(NVDA)$ fell about 5% as investors questioned how deeply the chip leader may become financially involved with the companies buying its hardware. Meanwhile, $Apple(AAPL)$ reached a record closing high and reclaimed the title of the world’s most valuable listed company. Together, these moves suggest that the market is changing the way it values technology companies. The new questions are becoming clearer: Who controls a critical bottleneck? Who is taking on the financial r

Alphabet, Tesla and IBM reported earnings on the same night—and together they offered one of the clearest snapshots yet of where the AI spending cycle stands. Google showed that AI infrastructure can already drive explosive cloud growth. Tesla showed how quickly AI, robotaxi and robotics investment can consume cash before those businesses generate meaningful revenue. IBM showed another side of the cycle: corporate customers are prioritizing scarce servers, memory and storage, while some traditional IT projects are being delayed. The market is moving past a simple question—“Who is investing in AI?”—and focusing on something harder: Who can turn AI spending into revenue, margins and free cash flow? Google: AI demand is turning into cloud revenue Alphabet delivered the strongest operating gro

Last night’s selloff felt like more than a normal pullback. The Nasdaq fell 2.15%, while the VIX jumped more than 12% to 18.7. $Tesla(TSLA)$ plunged 14.53%, and $Alphabet(GOOGL)$ dropped 7.13%. By several market estimates, the Magnificent Seven lost close to $800 billion in market value in a single session. At the same time, Brent crude moved above $100 per barrel and Treasury yields climbed. Two pressures hit growth stocks together: AI return concerns and renewed inflation risk. A week ago, the market was still rewarding companies for spending more aggressively on AI. Now investors are asking a harder question: When will all that spending turn into profit and free cash flow? 1. The capex scare finally a

$Alphabet(GOOG)$ reports second-quarter results after the market closes on July 22 under unusually demanding circumstances. Google Cloud is growing rapidly, but investors increasingly want evidence that Alphabet’s enormous AI investments will produce returns commensurate with their cost. The company entered the quarter with powerful operating momentum. In the first quarter, Google Cloud revenue increased 63% to approximately $20 billion. Cloud operating income tripled to $6.6 billion, while its operating margin expanded from 17.8% to 32.9%. Alphabet’s first-quarter earnings call shows that AI demand is already contributing to revenue and margin growth rather than remaining purely experimental. However, Alphabet expects 2026 capital expenditure of

Google's AI Gamble: $811 Billion in Future Commitments Sparks Wall Street Debate Google's latest filing has shocked investors. The company revealed $811 billion in future spending commitments, an increase of nearly $500 billion in just one quarter. These commitments are separate from its already massive $180-190 billion annual capital expenditure (CapEx) budget. This isn't just about spending more money. It's about locking up the world's most valuable AI resources before competitors can get them. The AI Infrastructure Race Is Heating Up Google is aggressively securing long-term supply agreements for: - AI chips (TPUs and GPUs) - Data centers - Electricity capacity - Networking equipment - Hardware inventory - AI-related content and software licenses In today's AI boom, computing power and

$Alphabet(GOOG)$’s second-quarter results presented investors with a striking contradiction. The company’s artificial-intelligence investments are producing some of the fastest growth in its history, yet the scale of spending required to sustain that growth is beginning to overshadow the operating performance. $Alphabet(GOOGL)$ released its results on July 22, 2026, for the quarter ended June 30, 2026. Revenue increased 24% year over year to $119.8 billion, marking the company’s 12th consecutive quarter of double-digit growth. Google Services revenue rose 15% to $94.5 billion, including 17% growth in Search and other revenue, 13% growth in YouTube advertising and 15% growth in subscriptions, platforms an

Alphabet will report its second-quarter results on Wednesday after the U.S. market closes. This earnings release matters far beyond $Alphabet(GOOGL)$ itself. TSMC and ASML have already shown that demand for advanced chips and semiconductor equipment remains strong. Google now has to answer the next question in the AI value chain: Can all that spending on chips, servers and data centers turn into cloud revenue, advertising growth and free cash flow? Wall Street currently expects roughly $116.8 billion in Q2 revenue, including about $22.2 billion from Google Cloud. Options markets are pricing in an earnings move of around 5.3%. The first test: Can Google Cloud keep growing above 60%? Google Cloud was Alphabet’s strongest business in the first quart

Takeaways Q1 revenue rose 22%, while operating income grew 30%. Cloud revenue grew 63% and margin reached 32.9%. Search revenue rose 19%, with a lower traffic acquisition cost ratio. Q1 capex consumed 78% of operating cash flow. Forward P/E is about 24.6 times, while free cash flow yield is only 1.5%. $Alphabet(GOOG)$ reports second quarter results after the close on July 22. Wall Street expects revenue of roughly $116.9 billion, up 21.3% year over year, with EPS of $2.90. That EPS will look much lower than the $5.11 reported in Q1. The comparison is misleading. Equity investment gains added $28.7 billion to Q1 net income and $2.35 to EPS. I would strip those gains out and concentrate on operating income, free cash flow and the gro

Today, global memory stocks finally staged a meaningful rebound. It felt like weeks of pent-up pressure were finally released. South Korea’s KOSPI rose roughly 3.6%, while Japan’s Nikkei gained about 3.3%. Samsung Electronics, SK Hynix, and Kioxia $KIOXIA HLDGS CORP(KXIAY)$ all rallied. Japan was closed yesterday, and Kioxia came back today with a 17% surge—nearly brought me to tears.[Cool][Smart][Sly] In U.S. premarket trading, SNDK, MU, WDC, and STX were also all higher. Asia-Pacific market performance There was also a fundamental catalyst today: South Korea’s exports during the first 20 days of July rose 52.3% year over year, with semiconductor exports surging 180.6%. At the very least, this confirms that memory shipments have

Hi Tigers 🐯, Welcome to "What the Tigers say." 👋 All eyes are on $Alphabet(GOOG)$ this week, with Q2 earnings due after the close on July 22 set to test whether its enormous AI spending — capex guided to roughly $175–$190 billion for 2026 — can finally show up in cloud growth and cash flow, while a fresh memory-stock rebound across Asia hangs on the same print. Before today's session played out, the community was already doing the heavy lifting. Let's rewind to the three sharpest takes from @TigerOptions, @Young on stocks, and

📊 Alphabet Heads Into Earnings: Can Google Finally Prove AI Is Paying Off? Alphabet (GOOG) has quietly become one of the most important earnings reports of this season. While Nvidia has been the poster child of the AI boom, Alphabet must now answer the harder question: can AI actually generate sustainable profits, not just spending? The stock gained 1.52% ahead of Wednesday’s Q2 earnings, but investors aren’t simply looking for another earnings beat. They’re looking for evidence that Google’s massive AI investments are beginning to translate into real business momentum. ⸻ ☁️ 1. Google Cloud is the biggest swing factor This quarter isn’t really about Search. It’s about Google Cloud. Cloud has become Alphabet’s fastest-growing profit engine, and Wall Street wants to see whether AI infrastruc

1. US: Wall Street rebound led by semis; SMIC guidance fuels margin optimism; All eyes on Google’s capex Wall Street advanced on Tuesday, with the S&P 500 rising 0.89%, the Dow gaining 0.74% and the Nasdaq composite climbing 1.29%, led by a rebound in semiconductor stocks. Strength in Korea’s Kospi yesterday appeared to spill over into U.S. memory and storage names, including Micron and SanDisk, with gains extending across the broader semiconductor complex. The move may also have been supported by bargain-hunting funds stepping in after the recent sell-off, while reports that TSMC could raise chipmaking prices by up to 10% in 2027 were interpreted as signs of sustained demand and continued industry pricing power. Additionally, strong Q2 earnings from blue chips such as 3M and General M

AI as a Highway Layer 1 – AI Compute (Road Builders) •NVDA, AMD, TSM build the foundation of the highway. Layer 2 – AI Memory (Construction Materials) •MU, SK.HY, Samsung They provide the memory needed to power AI. Layer 3 – AI Networking (Road Network) •Broadcom, Marvell, Arista, Cisco, Nokia They connect the entire AI ecosystem. Layer 4 – Hyperscalers (Highway Operators) * Microsoft, Amazon, Google, Meta They build, own and operate the AI infrastructure. Layer 5 – AI Monetization (Businesses on the Highway) * Microsoft Copilot, Palantir, Salesforce, ServiceNow, Gemini, AWS They transform AI infrastructure into products and services that customers pay for. Layer 6 – Customers (Drivers) * Enterprises, Governments and Consumers  They use AI and ultimately fund the ecosystem. The Key Ta

Yes, but the market is now demanding evidence that the spending produces cash returns. Alphabet’s underlying Q2 numbers were actually formidable: revenue +24%, Search +17%, Cloud +82% to US$24.8 billion, while Cloud operating margin reached roughly 35.6%. That suggests AI infrastructure is already generating meaningful revenue rather than being purely speculative spending.  The concern is the sheer scale. Alphabet lifted 2026 capex guidance to US$195–205 billion, while Q2 capex reached US$44.9 billion and free cash flow fell to negative US$5.9 billion.  I therefore see the 6.9% decline primarily as a valuation reset, not yet a thesis break. Alphabet has perhaps the strongest ability to absorb AI spending because Search, YouTube and Cloud provide enormous monetisation channels. Cl

Most Investors Understand AI Infrastructure. Few Understand AI Monetization. The AI Highway $NVIDIA(NVDA)$   Imagine AI as a highway. Layer 1 – AI Compute (Road Builders) * NVIDIA, AMD, TSMC * They build the foundation of the highway. Layer 2 – AI Memory (Construction Materials) * Micron, SK Hynix, Samsung  * They provide the memory needed to power AI. Layer 3 – AI Networking (Road Network) * Broadcom, Marvell, Arista, Cisco, Nokia * They connect the entire AI ecosystem. Layer 4 – Hyperscalers (Highway Operators) * Microsoft, AMZN, $Alphabet(GOOG)$   * They build, own and operate the AI infrastructure. Layer 5 – AI Monetization (Businesses on th

For the past month, the market has been whispering that the AI trade is done. Memory stocks took the brunt of it, on the belief that chip prices had peaked. Their share prices fell hard. Alphabet’s guidance says otherwise. Higher capex and a shortage of AI cloud compute mean the spending cycle is still running. Alphabet has stopped its share buyback because it needs the cash for AI, while it continues to issue stock to raise funds and to reward employees with options. Share count is up 1.2% in six months. That is dilution, and it is new. Previously the buybacks more than offset the issuance. On top of that, Alphabet took on $19.1B of mandatory convertible preferred shares and $56.2B of debt. And the fundraising is not ending soon. Roughly $106B of securities are expected to be issued over

This looks more like a valuation reset than a deterioration in the business. Alphabet's underlying fundamentals remain strong: Cloud revenue growth of 82% YoY suggests AI demand is accelerating, not slowing. Management says demand exceeds capacity, implying additional investment is driven by customer demand rather than speculative spending. Search, Cloud and AI together give Alphabet multiple earnings engines. The concern is that higher capex delays free cash flow expansion and compresses near-term returns, prompting investors to lower the valuation multiple even if long-term earnings potential improves. For long-term investors, that can create an opportunity, provided they believe management will convert today's AI spending into future cash flows. The key metrics to watch are Cloud operat

🌟🌟🌟 $Alphabet(GOOG)$ massive AI spending is transitioning from a speculative cost to a tangible growth driver.  What matters most across Alphabet's earnings is B) : AI Capex because its USD 180 billion infrastructure buildout underpins all other revenue streams.  If Capex efficiency rises, the entire AI platform scales. Is Google the Most Complete Platform? Yes as Google builds the chips - TPUs, trains the models - Gemini, run the cloud  - Google Cloud Platform and deploy the applications - Search and Workspace. However the spending still needs more time to fully prove its return.  While capacity utilisation is improving, rapid infrastructure scaling often runs into natural bottlenecks. As a long term investor of Alphabet I be

Disclaimer: Nothing I say or post should be considered financial advice. Please do your own due diligence before making any investment decisions. $Alphabet(GOOGL)$ GOOGL got absolutely hammered pre-market even though they beat market expectations on earnings, increasing their capex spend on AI-related technology. However, investors are not confident that GOOGL can cope with these goals and decide to sell off.  So the bottom line is a clear earnings beat does not always reflect in the stock movement. There are many layers of consideration in place, this is the exact reason why I do not trade earnings. With that said. I still believe in the business model and market cap that GOOGL has, it will be just a short term tai

For me, $Alphabet(GOOGL)$ Google Cloud is the key metric. TSMC and ASML have confirmed strong AI infrastructure demand, but Alphabet now needs to prove that its heavy AI investment is translating into sustainable Cloud revenue and healthy margins. I'm also watching AI Search monetization. It's not enough to increase user engagement—Google must maintain advertising revenue while keeping AI inference costs under control. That will determine whether AI strengthens its core business. Overall, I think Alphabet is becoming a leading end-to-end AI platform. If it delivers strong Cloud growth, solid AI monetization and confidence in free cash flow despite high capex, the long-term AI story becomes much more convincing. I’ll also be listening closely to