Making AI Headlines · Page 7
The AI Buildout Discovers That a Vision Statement Cannot Pay the Power Bill
· New York time
Big Tech is pouring billions into AI infrastructure, while mounting debt, negative cash flow and investor skepticism are raising questions about how long the spending boom can continue. Data centers, chips and electricity require money before a company can collect the returns it hopes its AI services will produce. The spending may support useful products and future revenue, but those outcomes are not guaranteed by the size of the construction budget. Investors must assess both the potential market and the cost of reaching it. That makes the current boom more complicated than a software launch in which an extra copy can be distributed cheaply. Computing capacity has to be built, supplied and operated, and the bill does not wait for a presentation on productivity. Companies can argue that investing early is necessary to compete. Investors can also ask when those investments will produce enough cash to justify their cost. Both questions fit on the same spreadsheet, though only one makes an exciting keynote. For years the industry's favored unit of progress has been the next impressive demonstration. The finance department has introduced a rival measure: whether the money coming in can eventually keep pace with the money going out. It is less entertaining, but it has an unfortunate habit of staying in the meeting.
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