Alphabet Drops 6.9% Post-Earnings: Does $200B Capex Spook the Market?

Alphabet fell 6.89% after guiding 2026 capital expenditure toward approximately $200 billion, stoking fears that AI investment will erode profitability. Despite solid Cloud and Search results — and recent buying by Buffett — the repricing of "heavy capex, slow returns" wiped more than $700 billion from Mag-7 market caps in a single session. Investors are reassessing the valuation anchor for mega-cap tech. As the AI arms race becomes a test of spending endurance, can Alphabet's moat absorb the bill?

China’s DUV Push, Apple’s Record High, Nvidia’s 5% Drop: Is Big Tech Being Re-Ranked?

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
China’s DUV Push, Apple’s Record High, Nvidia’s 5% Drop: Is Big Tech Being Re-Ranked?
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.

Mag 7 Loses Nearly $800 Billion: Is the Market Finally Charging AI for Its Spending?

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
Mag 7 Loses Nearly $800 Billion: Is the Market Finally Charging AI for Its Spending?
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

From NVIDIA to Palantir: How AI Actually Makes Money.

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
From NVIDIA to Palantir: How AI Actually Makes Money.

📉 Google Drops 7%, But Is Wall Street Missing the Bigger Pic

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 $180-190 billion annual capital expenditure (CapEx) budget. This isn't just about spending more money. It's about locking up the world's most valuable AI resources before competitors can get them. The AI Infrastructure Race Is Heating Up Google is aggressively securing long-term supply agreements for: - AI chips (TPUs and GPUs) - Data centers - Electricity capacity - Networking equipment - Hardware inventory - AI-related content and software licenses In today's AI boom, computing power and
📉 Google Drops 7%, But Is Wall Street Missing the Bigger Pic
Buy the dip guys, Google is cheap now.
Buy the dip$Alphabet(GOOG)$  
Buying opportunitiy is now!!
avatarOlaola
07-23
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

Three Earnings, Three AI Realities: Google Monetizes, Tesla Burns Cash, IBM Gets Squeezed

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
Three Earnings, Three AI Realities: Google Monetizes, Tesla Burns Cash, IBM Gets Squeezed

Why Alphabet’s Cloud Acceleration Is No Longer Enough to Silence Its AI-Spending Critics

$Alphabet(GOOG)$’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
Why Alphabet’s Cloud Acceleration Is No Longer Enough to Silence Its AI-Spending Critics