Big Tech is paying for the AI boom, and chipmakers are cashing in: Chart of the Day The result is a 'generational transfer in free cash flow,' according to Bank of America. Jared Blikre Sat, July 11, 2026 at 4:40 AM PDT 3 min read GOOGL AMZN ORCL META MSFT Wall Street knows Big Tech can spend on artificial intelligence. The harder question is how quickly that spending returns cash to those companies. That is where the story changes. The AI boom is not just a growth story anymore; it is a money-in, money-out story. Hyperscalers Amazon ( AMZN ), Alphabet ( GOOG , GOOGL ), Meta ( META ), Microsoft ( MSFT ), and Oracle ( ORCL ) are writing the checks for chips, data centers, and power. Chipmakers are getting paid first , and they are expected to keep more cash after their own bills are paid. Bank of America Global Research calls it a "generational transfer in free cash flow," and the chart below shows why. AI chipmakers are gaining free cash flow while hyperscalers spend heavily on the AI buildout. BofA Global Research, Yahoo Finance Free cash flow is the money a company has left after running the business and paying for major investments. In BofA's chart, that number is moving in opposite directions for Big Tech and chipmakers. For the hyperscaler basket, it is falling into negative territory, while the semiconductor basket Nvidia ( NVDA ), Micron ( MU ), Broadcom ( AVGO ), and Applied Materials ( AMAT ) keeps climbing. More from Yahoo Scout How are Chinese AI models impacting US competition? How is AI spending affecting Big Tech cash flows? Why are chipmakers gaining while hyperscalers lose cash flow? What risks could delay AI investment payoffs? That does not make the AI boom any less real. It makes the payoff harder to pin down. Chip demand can remain strong while hyperscaler cash flow weakens because one side is selling the infrastructure and the other side is paying to build it. BofA said "Magnificent Seven" hyperscalers have spent $234 billion in capital expenditures this year, while their stocks are basically flat in 2026. Apollo chief economist Torsten Sløk frames the question this way: "But what if the payoff takes longer than consensus assumes?" (Disclosure: Yahoo is a portfolio company of funds managed by affiliates of Apollo Global Management.) His answer starts with two pressure points. Token prices are still falling, which means AI usage can grow without producing as much revenue per unit of use. Chinese models are also gaining on the US's models, adding pressure on American platforms trying to turn AI adoption into high-margin revenue. The risk is timing. The spending happens now. The cost of chips, servers, and data centers keeps showing up over time. But the revenue and cash flow may take longer to arrive. Sløk's chart of Chinese vs. US model token usage sharpens the point. Among the top 20 AI models, Chinese models handled more tokens than...
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