Meta is betting $100 billion on AI—will Nvidia be laughing all the way to the bank? The real question is: who will pay for it?

The AI industry is running an expensive relay: cloud providers build data centers, chip companies sell computing power, platform companies develop models, and then everyone tries to figure out how to get users to pay.
Meta’s third-quarter revenue grew 26%, showing that its advertising business remains strong; but the company’s full-year capital expenditure guidance stands at $135 billion to $145 billion. Revenue is sprinting, while investment is running a marathon, so shareholders naturally ask: how much profit is waiting at the finish line?
Nvidia may benefit from demand for computing power, Microsoft and Amazon can charge for cloud services, and Meta can use AI to improve ad recommendations and placement efficiency. But benefiting doesn’t guarantee a win: customers may cut budgets, competition may drive down prices, and infrastructure may suffer from underutilization.
My view is that in the second half of the AI investment race, the key isn’t who spends the most, but whose investment first translates into sustainable revenue, profits, and cash flow. #每周来晒 and #美股财报季
If AI can boost ad conversions, cloud service revenue, or enterprise software subscriptions, it’s not just a money-burning toy; if returns continue to lag far behind investment, even the grandest vision will have to face a financial audit.
Poll: Which part of the AI supply chain do you think has the most pricing power: Nvidia, Microsoft, or Meta, with its control over traffic? $TSLA #