@miradosveces.tv: Nunca quiso comprar la receta… quería quedarse con el panadero. Don Tadeo parecía el cliente perfecto: recomendó su pan, financió nuevas tiendas y prometió encargarse del resto. Pero el contrato escondía algo que el panadero nunca imaginó. 🥖 ¿Fue ayuda o una trampa desde el principio? Comenta TRAMPA. #Frutinovela #Nunca #telenovelas #Panaderia #Traicion #SerieTikTok #ParaTi

Mira Dos Veces
Mira Dos Veces
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Thursday 03 September 2026 19:45:06 GMT
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2monster1
2monster1 :
copia de Don Octavio
2026-09-04 00:03:06
23
elpez16
El pez :
porfin uno que no termina en final feliz jajaja
2026-09-04 05:32:41
8
raziel0_o
raziel0_o :
😁😁😁
2026-09-07 04:42:06
1
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The next phase of the AI investment story may be less about what AI can do — and more about what AI can earn. For the past few years, the questions have evolved rapidly. First: Can AI actually work? Then: How much compute can we build? Then: Who controls the scarce chips, memory and infrastructure? And increasingly, investors may begin asking a different question: Where is the free cash flow? That shift matters. Every major technological revolution eventually has to travel through an economic chain: Possibility → Deployment → Revenue → Profit → Free Cash Flow → Returns on Capital The AI capex cycle is far from over. Enormous amounts of capital are still flowing into chips, data centers, energy and infrastructure. But technological capability alone cannot be the final measure of economic success. Eventually, companies have to demonstrate that the capital going into AI can generate sustainable economic returns. That is what makes the recent developments around SK Hynix — and the market reaction in Korea — so interesting. When companies generate more cash than they can deploy efficiently at attractive returns, returning some of that excess capital to shareholders can be perfectly rational. And for investors, that introduces a new stage in the AI story. We are no longer asking only: Who is building the future? We are also beginning to ask: Who is capturing its economics? Because a technological revolution becomes an economic revolution only when technological progress translates into productivity, cash flow and ultimately returns on capital. Perhaps that is where the AI investment conversation is heading next. #AI #ArtificialIntelligence #infrastructure #Semiconductors #SKHynix
The next phase of the AI investment story may be less about what AI can do — and more about what AI can earn. For the past few years, the questions have evolved rapidly. First: Can AI actually work? Then: How much compute can we build? Then: Who controls the scarce chips, memory and infrastructure? And increasingly, investors may begin asking a different question: Where is the free cash flow? That shift matters. Every major technological revolution eventually has to travel through an economic chain: Possibility → Deployment → Revenue → Profit → Free Cash Flow → Returns on Capital The AI capex cycle is far from over. Enormous amounts of capital are still flowing into chips, data centers, energy and infrastructure. But technological capability alone cannot be the final measure of economic success. Eventually, companies have to demonstrate that the capital going into AI can generate sustainable economic returns. That is what makes the recent developments around SK Hynix — and the market reaction in Korea — so interesting. When companies generate more cash than they can deploy efficiently at attractive returns, returning some of that excess capital to shareholders can be perfectly rational. And for investors, that introduces a new stage in the AI story. We are no longer asking only: Who is building the future? We are also beginning to ask: Who is capturing its economics? Because a technological revolution becomes an economic revolution only when technological progress translates into productivity, cash flow and ultimately returns on capital. Perhaps that is where the AI investment conversation is heading next. #AI #ArtificialIntelligence #infrastructure #Semiconductors #SKHynix

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