{
  "id": 273205,
  "title": "Don't believe the GenAI hype—learn from it instead, say researchers",
  "url": "https://urgent.news/2026/08/07/dont-believe-the-genai-hype-learn-from-it-instead-say-researchers",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-07T17:20:07.000Z",
  "source": {
    "name": "Phys.org",
    "slug": "phys-org",
    "url": "https://phys.org/news/2026-08-dont-genai-hype.html"
  },
  "original_language": "en",
  "account": "Don't believe the hype surrounding generative AI, say researchers. A new study published in the Academy of Management Journal found that social media discussion around ChatGPT did not follow the typical pattern of hype cycles. Instead, the public's immediate engagement with the technology helped to collectively learn about its capabilities and limitations. Researchers Anna Brattstrom and Hassan Hamadi analyzed over 200,000 X posts from the first five months after ChatGPT's launch and discovered a unique event where hype transformed into a learning opportunity. The widespread experimentation on social media provided a moderation effect, allowing for nuance and insight to emerge, ultimately refining predictions about the technology's potential. The study suggests that organizations should monitor public experimentation and safe learning opportunities to gain a more balanced perspective on new technologies, rather than solely relying on expert commentary.",
  "summary": "A recent study published in the Academy of Management Journal suggests that the hype surrounding generative AI, particularly with the launch of ChatGPT, should not be dismissed as mere speculation. Researchers Anna Brattstrom and Hassan Hamadi found that the conversation around ChatGPT, which occurred primarily on social media, functioned as a collective learning event rather than a typical hype bubble. The widespread experimentation and public discussion allowed for the refinement of claims about the technology's capabilities, leading to a more nuanced understanding of its limitations and potential. The researchers advise organizations to monitor public experimentation and employee engagement with new technologies, rather than relying solely on expert commentary, to gain a more accurate understanding of the value and risks associated with these tools.",
  "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."
}