How large is the gap between AI spending and AI revenues?
Core argument: The four big hyperscalers spent $440 billion on capex and R&D in 2024 and are projected to spend $596 billion in 2025, a 35% increase, leaving large gaps between AI spending and AI revenues.
Last September we expressed concern that hyperscalers were spending an increasing amount on AI, and that investors would need to see evidence of corporate AI adoption fairly soon. No matter how you do the analysis, you still end up with large gaps between AI spending and revenues given $440 billion of capex/R&D for the four big hyperscalers in 2024 and $596 billion projected for 2025, a 35% increase. These four companies now account for more than half of all capex growth of the entire US equity market. We don’t have a trove of answers at this point since only Microsoft explicitly discloses AI related revenues, which rose by 150% over the past year. But we do see healthy increases in cloud-based revenues for Microsoft, Google and Amazon, which is a category that likely includes most AI activity. Another observation from Microsoft: they processed 100 trillion tokens in Q1 2025, up 5x from Q1 2024 levels; 50 trillion of these tokens were processed in March 2025 alone. This implies that there’s a lot of inference activity going on which is often a sign of corporate AI models being used in actual workflows.



