The surge in artificial intelligence (AI) infrastructure is no longer a story confined to a handful of semiconductor stocks like NVIDIA (NVDA), Micron Technology (MU), and Intel (INTC). According to Goldman Sachs (GS), this wave is reshaping the U.S. business investment cycle. In a report released Monday, the firm raised its forecast for U.S. business investment growth in 2026 from a previous 6.5% to 7.8%. This upward revision is primarily driven by robust spending in AI, with annualized expenditures reaching $650 billion in the first quarter and projected to surpass $800 billion by year-end.
Goldman Sachs economist Elsie Peng noted in the report, "As companies accelerate infrastructure deployment, AI-related spending will continue to drive growth in equipment and construction investment through 2026." The impact of this spending wave extends far beyond the chip sector. The firm's economists state that current AI investments are flowing into servers, semiconductors, storage, power infrastructure, data centers, software, and research and development.
"Our analysis suggests that AI-related expenditures will add approximately 3.3 percentage points to the growth rate of real capital expenditures in 2026," Peng stated. However, the report indicates that the direct boost from AI spending to U.S. GDP growth remains relatively limited. It explains that official GDP statistics still partially undercount semiconductor-related investments, creating a gap.
"We estimate AI spending will contribute about 0.3 percentage points to real GDP growth in 2026, but the official GDP measure will likely reflect only about 0.1 percentage points," Peng added. This discrepancy is largely due to the significant import reliance for related equipment.
**New Legislation Adds Fuel to the AI Investment Boom**
Goldman Sachs also highlighted that the effects of new tax incentives under the "One Big Beautiful Bill Act" (OBBBA) are beginning to show in investment data. The legislation broadens the scope of immediate expensing, which the bank estimates will boost capital expenditure growth by roughly 3 percentage points in 2026, with manufacturing, transportation, and industrial sectors benefiting most significantly.
"We, along with other forecasters, expect strong AI spending combined with new tax incentives to support solid capex growth in 2026, and preliminary data are broadly consistent with this view," Goldman Sachs stated. Concurrently, two major headwinds that constrained investment in 2025 are beginning to fade. The drag from a slowdown in manufacturing construction investment, influenced by the Inflation Reduction Act and the CHIPS Act, is expected to diminish notably this year. Meanwhile, uncertainty stemming from tariffs is also easing. Goldman Sachs calculates that tariff factors reduced capex growth by about 1.5 percentage points in 2025, a drag expected to narrow to 0.7 percentage points in 2026.
**Rising Oil Prices Unlikely to Halt the Investment Upturn**
Despite a recent surge in oil prices due to Middle East tensions, Goldman Sachs believes higher energy costs will not substantially impede the current investment wave. "We do not expect higher oil prices to materially impact overall capex growth," Peng wrote. The primary impact is currently felt in transportation-related industries such as airlines, trucking, and rail. The firm estimates the overall drag on U.S. capital expenditures from elevated oil prices to be only about 0.1 to 0.3 percentage points.
**Tech Giants' Debt-Fueled AI Bets Raise Market Concerns**
Amid the AI wave, major technology companies are engaged in an unprecedented "capital arms race," raising underlying risks and persistent market concerns over long-term returns and financial health. The combined capital expenditure forecast for 2026 from the four major cloud providers—Alphabet (GOOGL), Meta Platforms (META), Microsoft (MSFT), and Amazon.com (AMZN)—has soared to $725 billion, a sum comparable to the annual GDP of countries like Greece and Portugal.
This massive investment coincides with a collective strain on free cash flow. Morgan Stanley predicts Amazon's free cash flow will turn negative to -$17 billion in 2026. Pivotal Research forecasts Alphabet's free cash flow will plummet from $73.3 billion in 2025 to $8.2 billion in 2026. Barclays estimates free cash flow for Meta and Microsoft will decline by 90% and 28%, respectively, in 2026. This sharp contraction in cash flow raises questions about the sustainability of the high-investment model.
To bridge funding gaps, tech giants are issuing bonds intensively, with global AI-related debt accumulating to approximately $300 billion. Investor enthusiasm for this debt appears to be cooling. Deeper concerns stem from the uncertainty surrounding AI investments and their returns. Market skepticism about the long-term prospects of this high-stakes AI gamble persists, warranting continued observation of the future cash flows and capital structures of these technology behemoths.
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