{
  "id": 723937,
  "title": "Quantifying the AI boom crowding-out effect",
  "url": "https://urgent.news/2026/08/12/quantifying-the-ai-boom-crowding-out-effect",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-12T16:12:06.000Z",
  "source": {
    "name": "Axios",
    "slug": "axios",
    "url": "https://www.axios.com/2026/08/12/ai-boom-goldman-sachs"
  },
  "original_language": "en",
  "account": null,
  "summary": "When investment on the scale of the current AI boom occurs, it inevitably has to come at the expense of something. All the resources devoted to building data centers and developing AI models would otherwise go to something else. The big picture: This crowding out is smaller than you might expect, Goldman Sachs economists find in a new note. But it does exist, they say, and takes the form of…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "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."
}