{
  "id": 14981844,
  "title": "AI Cloud Spending Is Splitting Companies Into the Funded and the Stretched",
  "url": "https://urgent.news/2026/10/16/ai-cloud-spending-is-splitting-companies-into-the-funded-and-the",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-16T15:11:00.000Z",
  "source": {
    "name": "Motley Fool",
    "slug": "motley-fool",
    "url": "https://www.fool.com/investing/2026/10/16/ai-cloud-spending-is-splitting-companies-into-the/?source=iedfolrf0000001"
  },
  "original_language": "en",
  "account": "The AI infrastructure spending has skyrocketed in recent years, sparking a debate among tech investors. The main concern is not the revenue generated by these companies, but who bears the risk while they borrow billions to build data centers. Oracle's fiscal 2027 backlog is a staggering $664 billion, larger than its market cap, with $1.4 billion in interest expenses. This raises the crucial question of who fronts the cash for data center construction and what happens if contracts aren't fulfilled as planned. The AI build-out has divided companies into two groups: those borrowing from established cash flow and business lines, and those relying on recently introduced contracts collateralized by GPUs and data centers. Oracle is using its well-established enterprise software business as collateral for its AI investments. Its RPO grew due to multiyear cloud deals with OpenAI and other AI labs, and its interest expense increased by more than 50% year-over-year. Oracle's free-cash-flow turned negative due to capital expenditures of $28.5 billion to build AI data center capacity, despite generating $23.1 billion in operating cash flow. Smaller companies like CoreWeave and Nebius have built their substantial backlogs by signing deals with large customers, but their dependence on a few hyperscalers poses risks. Iren and Applied Digital also financed their data center build-outs using non-recourse debt tied to their physical assets. While the AI compute capacity shortage is real, and hyperscalers are committed to executing on their contracts, investors should consider the varying financing strategies of these companies.",
  "summary": "Every AI infrastructure company is pointing to a massive backlog, but how each one financed the gap between signing the contract and collecting the cash reveals very different bets.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "Nasdaq Markets",
        "title": "AI Cloud Spending Is Splitting Companies Into the Funded and the Stretched",
        "url": "https://urgent.news/2026/10/16/ai-cloud-spending-is-splitting-companies-into-the-funded-and-the-14990684",
        "published": "2026-10-16T15:31:00.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}