{
  "id": 3278545,
  "title": "OpenAI’s Sam Altman Admits the AI Boom Is Running Late: “We’ve Not Had the iPhone Moment”",
  "url": "https://urgent.news/2026/08/25/openais-sam-altman-admits-the-ai-boom-is-running-late-weve-not-had",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-25T14:05:03.000Z",
  "source": {
    "name": "Yahoo Finance",
    "slug": "yahoo-finance",
    "url": "https://finance.yahoo.com/technology/ai/articles/openai-sam-altman-admits-ai-140503675.html"
  },
  "original_language": "en",
  "account": "OpenAI CEO Sam Altman admitted that the AI boom is not experiencing the rapid adoption typically associated with a groundbreaking technology like the iPhone. Altman stated that while all the technological pieces are in place, the AI industry has not yet achieved the transformative impact of a \"iPhone moment.\" He attributed the sluggish pace of change to inertia in the economy, with people and institutions continuing to use the same methods and suppliers rather than embracing new technologies. This lack of momentum is causing concerns about the timeline for AI's widespread adoption. Furthermore, Altman revealed that OpenAI had to cancel a flagship product, Sora, due to excessive computational demands. This operational decision highlights the significant bottleneck of available computational capacity, which is devouring resources regardless of whether it is consumed by AI applications or not. While slow enterprise adoption does not alleviate the pressure on capacity, it does not ease the situation either, as every available GPU or computational watt is being competed for by different developers. This creates a scenario where near-term economics are heavily influenced by those who can provide the necessary computational capacity, regardless of the specific AI applications that gain traction. Altman emphasized OpenAI's vision to become a platform rather than directly competing with its customers, acknowledging two key risks: losing control as AI technology advances and the concentration of power within a single company or model. These considerations have implications for investors, particularly those focused on the infrastructure companies that supply computational resources, as the slow adoption of AI and limited supply of computational resources can lead to capacity being allocated to various applications without a clear winner in the near term.",
  "summary": null,
  "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."
}