@maedel_grace: okay‚ mahal ko naman ‘to sila shshsjs 😘🙌🏻 #fypシ #xyzbca #makeitviral #highlight #spaporras

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Sunday 06 September 2026 10:34:33 GMT
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AI is no longer only a story about how much money companies are spending. Increasingly, it is becoming a story about what they do with the money they are making. Over the past few years, the AI infrastructure boom created extraordinary demand for compute. That demand pushed scarcity into chips, high-bandwidth memory, advanced packaging, data centers and energy. And as I’ve been discussing through Ray’s Six-Layer AI Ecosystem Model: AI doesn’t eliminate scarcity. It moves it. But what happens after scarcity moves? A scarce resource with rapidly growing demand can gain pricing power. Pricing power can generate profits. Profits can generate free cash flow. And eventually, that creates a completely different question: Where should all that capital go? Back into R&D? More fabs and infrastructure? The next technological bottleneck? Acquisitions? Or back to shareholders? That’s why the recent developments around SK Hynix — and reports surrounding Samsung Electronics — are interesting beyond the size of the potential shareholder returns. They may represent another stage in the economics of the AI boom: Demand → Scarcity → Pricing Power → Profits → Free Cash Flow → Capital Allocation The AI investment story is gradually becoming about more than technological capability. It is also becoming about economic productivity and capital efficiency. Because creating value and capturing value are not necessarily the same thing. And once enormous amounts of cash begin accumulating, one of the most important questions becomes: Who can allocate that capital best? #AI #ArtificialIntelligence #Semiconductor #SKHynix #Samsung
AI is no longer only a story about how much money companies are spending. Increasingly, it is becoming a story about what they do with the money they are making. Over the past few years, the AI infrastructure boom created extraordinary demand for compute. That demand pushed scarcity into chips, high-bandwidth memory, advanced packaging, data centers and energy. And as I’ve been discussing through Ray’s Six-Layer AI Ecosystem Model: AI doesn’t eliminate scarcity. It moves it. But what happens after scarcity moves? A scarce resource with rapidly growing demand can gain pricing power. Pricing power can generate profits. Profits can generate free cash flow. And eventually, that creates a completely different question: Where should all that capital go? Back into R&D? More fabs and infrastructure? The next technological bottleneck? Acquisitions? Or back to shareholders? That’s why the recent developments around SK Hynix — and reports surrounding Samsung Electronics — are interesting beyond the size of the potential shareholder returns. They may represent another stage in the economics of the AI boom: Demand → Scarcity → Pricing Power → Profits → Free Cash Flow → Capital Allocation The AI investment story is gradually becoming about more than technological capability. It is also becoming about economic productivity and capital efficiency. Because creating value and capturing value are not necessarily the same thing. And once enormous amounts of cash begin accumulating, one of the most important questions becomes: Who can allocate that capital best? #AI #ArtificialIntelligence #Semiconductor #SKHynix #Samsung

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