Citigroup forecasts Big Tech’s AI spending to cross $2.8 trillion by 2029

Citigroup has significantly raised its forecast for AI-related infrastructure spending by tech giants to over $2.8 trillion through 2029, up from an earlier $2.3 trillion, citing aggressive hyperscaler investments and growing enterprise demand. This surge, with AI capex for hyperscalers projected to reach $490 billion by 2026, is increasingly being funded by borrowing, impacting free cash flows and raising investor concerns about the sustainability and funding models for these massive investments.

Analysis

Citigroup has materially increased its forecast for AI-related infrastructure spending to over $2.8 trillion through 2029, a significant revision from its previous $2.3 trillion estimate. This upgrade is predicated on aggressive capital outlays by hyperscalers like Microsoft, Amazon, and Alphabet, and validated by growing enterprise AI deployments. The brokerage now projects AI capex for these firms will reach $490 billion by the end of 2026, up from $420 billion, and expects this accelerated spending to be reflected in third-quarter guidance. A critical development noted is a strategic shift in financing; tech giants are increasingly using debt to fund these massive projects, estimated to cost $50 billion per gigawatt of compute capacity. This change in funding is reportedly beginning to pressure free cash flows, introducing a new variable for investors who are now questioning how this unprecedented scale of investment will be sustained.

Key Decisions for Investors

• Investors should scrutinize upcoming Q3 earnings calls from hyperscalers (MSFT, AMZN, GOOGL) for confirmation of elevated capex guidance and for management's commentary on the impact of debt-funded expansion on free cash flow.
• Given the immense projected spending, opportunities may exist throughout the AI infrastructure supply chain, including semiconductor, power, and data center component suppliers who are direct beneficiaries of this capital deployment cycle.
• It is prudent to re-evaluate the risk profile of large-cap tech holdings, as the shift toward leverage to fund growth could introduce new balance sheet risks and potentially alter valuation models that heavily rely on free cash flow generation.