The AI Spending Boom is Finally Hitting Wall Street’s Bottom Line

inNalar.com –  The massive artificial intelligence spending boom that has captivated Wall Street is beginning to severely erode the bottom line of the world’s largest technology companies, as free cash flow turns negative under the weight of historic capital expenditures.

Bank of America analysts project that capital spending by hyperscalers will reach roughly $860 billion in 2026. This explosive infrastructure build-out is expected to climb even further, hitting nearly $1.2 trillion by 2027.

The sheer scale of the investment is reshaping the financial profile of the tech sector. The largest cloud service providers currently carry a massive total backlog of customer spending and remaining performance obligations amounting to about $2.3 trillion.

As a historical comparison, during most of the last decade, major cloud providers collectively generated between $135 billion and $272 billion in annual free cash flow. Historically, free cash flow margins for these firms generally hovered in the 10% to 20% range.

Free cash flow crunch

Now, the financial picture is rapidly deteriorating. Alphabet’s free cash flow turned negative in the second quarter for the first time since the company went public in 2004.

Amazon’s trailing 12-month free cash flow recently turned negative as well, driven directly by a surge in AI capital expenditures. Meta’s free cash flow in the second quarter barely stayed above zero, despite strong operating cash. Microsoft remains the notable exception among the hyperscalers, maintaining robust positive free cash flow.

Bank of America estimates that the aggregate free cash flow of eight major tech companies will swing drastically from an estimated positive $180 billion in 2025 to roughly negative $64 billion in 2026.

That aggregate free cash flow is projected to fall even further to negative $144 billion in 2027 and negative $186 billion in 2028. Aggregate free cash flow margins are projected to drop to negative 2.8% this year, and decline further to negative 5.4% and negative 5.8% in the following two years.

Macro headwinds

The market is now transitioning from an explosive infrastructure build-out phase to a more measured period focused on increasing utilization and optimizing existing infrastructure.

Investors are increasingly demanding proof that this massive spending is translating into faster revenue growth, stronger profitability, and a sustainable competitive advantage. Consequently, AI-linked stocks have started to underperform, even as companies report strong revenues and aggressive capital expenditure plans.

Macroeconomic conditions are exacerbating the pressure on Wall Street. Higher oil prices, rising Treasury yields, and a strengthening U.S. dollar are driving up operating and financing costs. Concurrently, there has been a sharp decline in U.S. core capital goods orders, a leading indicator of future corporate spending.

“As oil prices, bond yields and the U.S. dollar have surged, investors have already been pricing in a core capital spending slowdown,” said Jim Paulsen, former chief investment strategist at Leuthold Group.

“Should U.S. core capital spending decline in the coming six months or even simply trend sideways, this would force a major readjustment in the mindsets of many investors who have embraced the AI spending story,” Paulsen added.

Future outlook

Despite the alarming cash flow metrics, there are strong signals of underlying demand. Amid reports of negative free cash flow, Google’s cloud division reported an 82% year-over-year revenue growth.

Analysts remain optimistic about the long-term payoff. “We expect the aggregate annual FCF of hyperscalers to well exceed prior average of ~$200-250bn+/yr once these AI infra are fully at work, and do not view the recent fundraising activities as a signal for financial stress or inadequate free cash flow generation,” Bank of America analysts wrote.

While the massive spending has spooked some investors, Wall Street researchers see the fundamentals holding up over time.

“A key risk remains execution … but we see surging demand outpacing the capacity being built resulting in sustainably strong demand in the mid-term,” the Bank of America analysts noted.