Amazon and Google are winning the AI capex race — but what’s the prize?

The competition among major tech companies in the artificial intelligence sector appears to be intensifying, with a strong focus on capital expenditures for data centers. The prevailing belief is that those who invest heavily in infrastructure will gain the most processing power, thereby enabling them to create superior AI products, which could secure their dominance in the future. Amazon is at the forefront of this spending race, as highlighted in its recent earnings report. The company has announced a staggering projection of $200 billion in capital expenditures through 2026, with investments spanning AI, robotics, chips, and low Earth orbit satellites. This figure marks a significant increase from the $131.8 billion allocated for 2025. However, it’s important to note that Amazon’s spending is not solely focused on AI; the company’s extensive physical infrastructure plays a crucial role in these investments. Not far behind is Google, which reported a projected capital expenditure range of $175 billion to $185 billion for 2026, a substantial rise from $91.4 billion the previous year. This increase is indicative of the company's commitment to enhancing its capabilities, outpacing many of its rivals. In contrast, Meta anticipates expenditures between $115 billion and $135 billion for the same period, while Oracle's forecast appears modest at $50 billion. Microsoft has yet to provide an official estimate for 2026, but its recent quarterly figure suggests it could spend around $150 billion if current trends continue. The tech community largely agrees that the future of AI hinges on high-performance computing becoming a scarce resource. Companies that can control their computing supply chains are expected to emerge as the victors. However, despite these significant investments, investor confidence seems shaky. All major players, including Amazon and Microsoft, have witnessed declines in their stock prices as investors express concerns over the vast sums being devoted to AI initiatives. This skepticism is not confined to companies struggling with their AI strategies, such as Meta, but extends to those like Microsoft and Amazon, which have clearer paths for monetizing AI. The sheer scale of spending has raised alarms among investors, leading to a widespread reevaluation of risk. While investor sentiment can influence company strategies, the potential of AI to revolutionize industries is compelling enough to encourage these companies to continue their ambitious plans. As they forge ahead, big tech firms may need to find ways to temper expectations regarding the costs associated with their AI pursuits.