Amazon raised $79B of debt as free cash flow fell to $1.2B; Meta signed $107B of non-cancelable obligations. Inside the $238B commitment stack, halted buybacks, and the $364B AWS backlog.
Funding is key. Also worth noting that the data center debt that is rated based on the hyperscaler long-term commitments, and typically sits in the notes to their financials is vulnerable to the continued strong performance of the obligors. Pressures on the grid, souring public opinion, and the perceived growing gap between capex and ROI are storm clouds gathering. I publish The AI Grid Report (the latest edition discusses these pressures https://www.theaigridreport.com/p/the-overbuild-is-the-product?r=af3i2&utm_campaign=post&utm_medium=web).
Hyperscalers have raised $200-300B billion in debt to fund AI capex but they're leveraging free cash flow and equity raises. Free cash flow is significant across the hyperscalers (~$500B) but the financing gap is still quite large ($400-500B). I expect to see hyperscalers continue to tap public and private markets to fund their AI capex requirements over the next 3-5 years.
Funding is key. Also worth noting that the data center debt that is rated based on the hyperscaler long-term commitments, and typically sits in the notes to their financials is vulnerable to the continued strong performance of the obligors. Pressures on the grid, souring public opinion, and the perceived growing gap between capex and ROI are storm clouds gathering. I publish The AI Grid Report (the latest edition discusses these pressures https://www.theaigridreport.com/p/the-overbuild-is-the-product?r=af3i2&utm_campaign=post&utm_medium=web).
Hyperscalers will use a combination of debt, equity and free cash flow to achieve their ambitions in scaling their AI infrastructure needs.
Hyperscalers have raised $200-300B billion in debt to fund AI capex but they're leveraging free cash flow and equity raises. Free cash flow is significant across the hyperscalers (~$500B) but the financing gap is still quite large ($400-500B). I expect to see hyperscalers continue to tap public and private markets to fund their AI capex requirements over the next 3-5 years.