Major technology companies face pressure to finance artificial intelligence expansion as cash flow weakens across established businesses, according to their latest quarterly results.
The results also showed slower online sales growth at Amazon and weaker-than-expected search and YouTube advertising revenue at Alphabet. These businesses help finance their AI ambitions. Meta is investing heavily in data centres while exploring new revenue through AI products.
The companies plan further capital expenditure increases. However, higher borrowing costs and investor concerns raise questions about whether future AI revenues will justify the spending. Some analysts say established businesses and strong balance sheets provide a cushion for the moment.
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AI faces a massive revenue GAP: Data center owners need $8.5 trillion in revenue through 2030 to cover investment costs and achieve a +12% return on invested capital (ROIC). Meanwhile, the current revenue forecasts for this period point to just $3.6 trillion. This leaves a staggering $4.9 trillion shortfall between projected AI revenue and the amount required to justify the infrastructure spending. Meanwhile, revenue per worker and profit margins are rising only for the Magnificent 7 but remaining flat for the other 493 S&P 500 companies, highlighting a lack of meaningful productivity gains across most of corporate America, As a result, businesses outside the technology sector are increasingly treating AI token spending as a cost burden rather than a driver of growth. If AI generates far less revenue than companies expect, some of the money invested in data centers and other AI infrastructure may never be recovered. AI spending is skyrocketing, but returns and productivity beyond Big Tech are barely existent.
— Global Markets Investor (@GlobalMktObserv) October 26, 2026
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