AI's Rising Costs Make Wall Street Uneasy: Google Boosts Spending to $205 Billion
Investor anxiety over AI spending escalates as Google hikes its capital expenditure forecast to $205 billion, while facing Chinese competition and pricing pressures, signaling broader strain in the AI build-out.
Earnings season has delivered an unwelcome surprise for investors: Google raised its spending estimate to as much as $205 billion, up from last quarter's projection of $190 billion. Even the lower end of the new range—$195 billion—exceeds the company's previous top-end forecast. From an investor's perspective, this suggests Google cannot accurately predict its costs, a troubling sign. Moreover, the company is spending more than it earns, facing competitive pressure from Chinese AI tools, and struggling to keep its model prices low.
These pressures extend beyond Google to the entire AI ecosystem. Meta, Amazon, and Microsoft are all set to report earnings this week, and many expect them to announce higher-than-expected spending on data center construction.
Other signs indicate growing investor nervousness. SpaceX shares have lost nearly half their peak value. Oracle's data center debt is also causing concern—Oracle serves as the public market proxy for OpenAI. Meanwhile, Nvidia has been engaged in deal talks totaling three-quarters of a trillion dollars. Nvidia, even more than OpenAI, sits at the center of circular financing in the AI ecosystem. If it is pouring more money into supporting AI infrastructure, that may signal weaker actual demand than expected.
Specifically, Nvidia's guarantee of OpenAI's debt—a $250 billion deal—is "as much a reminder of funding strain in the AI build-out as it is a demand signal," Billy Leung, investment strategist at Global X Management, told Bloomberg.
Additionally, a Chinese startup has released a new model, fueling anxiety because China theoretically lacks the same GPU access as US firms yet remains competitive. If that holds, Nvidia's cash bonanza may be limited, and companies may be overbuilding data centers.
While some AI boosters remain optimistic, they acknowledge likely overbuilding and an eventual correction that will kill off many AI companies. Still, they invest in hopes that survivors will yield high returns. Some investors are already shifting funds elsewhere. Elon Musk is considered a strong market-top signal, and SpaceX just went public.
