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They had these little guys in the seafood section 😭 💀 #worldfoods

They had these little guys in the seafood section 😭 💀 #worldfoods

#mirzaghalib #urdupoetry #foryou

#mirzaghalib #urdupoetry #foryou

the girls always good thx to @Dr. Partington

the girls always good thx to @Dr. Partington

AI Is Not a Bubble—but the “Spend More, Rise More” Phase Is Over Microsoft and Alphabet spent approximately $41 billion and $44.9 billion, respectively, on capital expenditures in their latest quarters. Combined, that is nearly $85.9 billion in a single quarter. But that is not the most important number. The real dividing line is cash flow. Microsoft generated $19.6 billion in free cash flow during the same period. Alphabet reported negative free cash flow of $5.9 billion, largely because of its investment in AI infrastructure. The AI trade is not over. But the way the market evaluates AI companies is changing. Previously, announcing more GPU purchases, new data centers, or higher capital expenditures was often enough to support a higher valuation. That is no longer enough. The market is beginning to ask a more practical question: When will all this computing capacity become revenue, profit, and cash flow? 1. Capital Expenditure Is Neither Bullish nor Bearish CapEx alone has no direction. What matters is what the investment produces. Microsoft’s latest quarterly revenue reached $90 billion, up 18% year over year. Azure and other cloud services revenue increased 43%, while Microsoft Cloud revenue reached $59.3 billion, up 27%. At the same time, Microsoft’s commercial remaining performance obligations reached $678 billion, an increase of 84%. This represents contracted business that has not yet been recognized as revenue. Microsoft invested $41 billion in CapEx while still producing $19.6 billion in free cash flow. The structure is relatively clear: Investment is rising. Revenue is growing. Contracted business is accumulating. Cash flow remains positive. Alphabet’s situation is more complicated. The company generated $119.8 billion in second-quarter revenue, up 24%. Google Cloud revenue increased 82% to $24.8 billion, while its operating margin improved from 20.7% to 35.6%. Cloud backlog reached $514 billion. Demand is not weak. However, Alphabet’s quarterly CapEx reached $44.9 billion, free cash flow fell to negative $5.9 billion, and its full-year 2026 CapEx guidance was raised to between $195 billion and $205 billion. This does not mean Alphabet’s investment has failed. It means the time required to realize the return is getting longer. Focus on how efficiently CapEx converts into cash, not simply on how much a company spends. 2. The AI Trade Is Moving From Narrative to Verification As of August 4, approximately 84% of S&P 500 companies that had reported second-quarter results had beaten earnings estimates. The AI CapEx boom remains intact, but investors are increasingly questioning whether margins can remain sustainable beyond 2026. This is typical of a maturing market cycle. Early markets reward imagination. Middle-stage markets reward revenue growth. Late-stage markets demand cash flow and returns on invested capital. The next stage of AI analysis should therefore focus on four questions: First, can cloud and AI revenue growth keep pace with CapEx growth? Second, can backlog convert into revenue on schedule, rather than being repeatedly pushed further into the future? Third, will depreciation, energy expenses, and data-center operating costs begin to erode margins? Fourth, can operating cash flow continue growing in a high-investment environment? If an AI company continues increasing CapEx while revenue growth slows, margins decline, and free cash flow deteriorates, CapEx stops being a growth signal and becomes a valuation risk. If revenue, backlog, and operating cash flow continue growing together, temporary free-cash-flow pressure may simply be part of an expansion cycle. The difference matters. 3. A Good Company Is Not Automatically a Good Entry This is one of the easiest mistakes to make in the current market. Microsoft and Alphabet may both have excellent businesses. That does not mean every price represents an attractive entry. #ai #aiinvesting #techstocks #stockmarket

AI Is Not a Bubble—but the “Spend More, Rise More” Phase Is Over Microsoft and Alphabet spent approximately $41 billion and $44.9 billion, respectively, on capital expenditures in their latest quarters. Combined, that is nearly $85.9 billion in a single quarter. But that is not the most important number. The real dividing line is cash flow. Microsoft generated $19.6 billion in free cash flow during the same period. Alphabet reported negative free cash flow of $5.9 billion, largely because of its investment in AI infrastructure. The AI trade is not over. But the way the market evaluates AI companies is changing. Previously, announcing more GPU purchases, new data centers, or higher capital expenditures was often enough to support a higher valuation. That is no longer enough. The market is beginning to ask a more practical question: When will all this computing capacity become revenue, profit, and cash flow? 1. Capital Expenditure Is Neither Bullish nor Bearish CapEx alone has no direction. What matters is what the investment produces. Microsoft’s latest quarterly revenue reached $90 billion, up 18% year over year. Azure and other cloud services revenue increased 43%, while Microsoft Cloud revenue reached $59.3 billion, up 27%. At the same time, Microsoft’s commercial remaining performance obligations reached $678 billion, an increase of 84%. This represents contracted business that has not yet been recognized as revenue. Microsoft invested $41 billion in CapEx while still producing $19.6 billion in free cash flow. The structure is relatively clear: Investment is rising. Revenue is growing. Contracted business is accumulating. Cash flow remains positive. Alphabet’s situation is more complicated. The company generated $119.8 billion in second-quarter revenue, up 24%. Google Cloud revenue increased 82% to $24.8 billion, while its operating margin improved from 20.7% to 35.6%. Cloud backlog reached $514 billion. Demand is not weak. However, Alphabet’s quarterly CapEx reached $44.9 billion, free cash flow fell to negative $5.9 billion, and its full-year 2026 CapEx guidance was raised to between $195 billion and $205 billion. This does not mean Alphabet’s investment has failed. It means the time required to realize the return is getting longer. Focus on how efficiently CapEx converts into cash, not simply on how much a company spends. 2. The AI Trade Is Moving From Narrative to Verification As of August 4, approximately 84% of S&P 500 companies that had reported second-quarter results had beaten earnings estimates. The AI CapEx boom remains intact, but investors are increasingly questioning whether margins can remain sustainable beyond 2026. This is typical of a maturing market cycle. Early markets reward imagination. Middle-stage markets reward revenue growth. Late-stage markets demand cash flow and returns on invested capital. The next stage of AI analysis should therefore focus on four questions: First, can cloud and AI revenue growth keep pace with CapEx growth? Second, can backlog convert into revenue on schedule, rather than being repeatedly pushed further into the future? Third, will depreciation, energy expenses, and data-center operating costs begin to erode margins? Fourth, can operating cash flow continue growing in a high-investment environment? If an AI company continues increasing CapEx while revenue growth slows, margins decline, and free cash flow deteriorates, CapEx stops being a growth signal and becomes a valuation risk. If revenue, backlog, and operating cash flow continue growing together, temporary free-cash-flow pressure may simply be part of an expansion cycle. The difference matters. 3. A Good Company Is Not Automatically a Good Entry This is one of the easiest mistakes to make in the current market. Microsoft and Alphabet may both have excellent businesses. That does not mean every price represents an attractive entry. #ai #aiinvesting #techstocks #stockmarket

in time. 🎶: “the link”

in time. 🎶: “the link”

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