{
  "id": 15088108,
  "title": "Survey of Anthropic staffers and US adults: 39% of US adults vs. 91% of staffers expect AI will be able to make a Nobel-level discovery by 2030, and more (Anthropic)",
  "url": "https://urgent.news/2026/10/17/survey-of-anthropic-staffers-and-us-adults-39-of-us-adults-vs-91-of",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-17T01:00:12.000Z",
  "source": {
    "name": "Techmeme",
    "slug": "techmeme",
    "url": "https://www.anthropic.com/research/ai-expectations-gap"
  },
  "original_language": "en",
  "account": "Anthropic staff and US adults exhibit divergent views regarding the rapid advancement and economic impact of AI. While both groups agree on AI's current capabilities, they significantly disagree on future progress. Notably, 91% of Anthropic staff expect AI to make a Nobel-level discovery by 2030, compared to just 39% of US adults. Similarly, staff anticipate a much higher adoption rate of AI for various tasks within the next decade, with 65% of all tasks being automated, as opposed to 42% expected by US adults. The perceived economic impact of AI hinges on its autonomous capacity versus human collaboration. Anthropic staff predominantly believe that AI will work either independently or under human supervision by 2030, while 40% of US adults expect humans to largely perform tasks alongside AI assistance.",
  "summary": "Key findings — US adults expect AI capabilities to advance rapidly in the coming years; Anthropic staff expect even faster progress …",
  "key_points": [
    "91% of Anthropic staff expect AI to make Nobel-level discovery by 2030",
    "Only 39% of US adults share same optimism about AI breakthrough",
    "65% of tasks anticipated to be automated by staff, 42% by US adults"
  ],
  "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."
}