In just one year, Morgan Stanley's capital expenditure forecast for the largest hyperscalers surged dramatically. The 2026 projection jumped from approximately $450 billion to $800 billion, illustrating the unprecedented acceleration of the AI infrastructure spending cycle and its impact on the economy.
Despite significant focus on AI and corporate earnings, the firm identifies oil prices and potential Middle East supply shocks as the single most critical variable for the market. This geopolitical risk is framed as an unusually wide range of outcomes that could effectively act as a tax on the entire economy.
The massive capital required for AI infrastructure won't be fully funded by cash. Companies will issue more corporate bonds to finance this growth. This increased supply, even from financially healthy companies, can give investors more leverage to demand better terms, putting pressure on the overall credit market.
