{
  "id": 15986226,
  "title": "The U.S. market has never been more focused on one single bet—but AI’s payoff will likely take decades",
  "url": "https://urgent.news/2026/10/22/the-u-s-market-has-never-been-more-focused-on-one-single-bet-but-ais",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-22T01:30:00.000Z",
  "source": {
    "name": "Fortune",
    "slug": "fortune",
    "url": "https://fortune.com/2026/10/21/us-market-never-more-focused-on-ai-best-payoff-will-take-decades/"
  },
  "original_language": "en",
  "account": "Americans have bet heavily on artificial intelligence as the driving force behind economic transformation. Yet, historical data from the past 50 years suggests that this bet might not pay off as quickly as the market anticipates. The most recent parallel to this AI investment boom occurred in the Gilded Age, when railroad stocks dominated the New York Stock Exchange, accounting for over 80% of active trading in 1885. A decade later, this sector crashed, leading to a severe economic depression. Today, the U.S. economy is pouring about 2% of its GDP into AI-related investments, up from nearly zero just five years ago. However, this single-minded focus is concentrated in far fewer companies compared to the railway mania. Investments in AI, including information processing equipment, software, research and development, and data centers, accounted for 39% of U.S. economic growth in the first three quarters of 2025, a significant increase from 28% in 2000, the peak of the dot-com boom. Nevertheless, the concentration of AI investments poses risks. If AI-related investments falter, the entire economy could be impacted. The top 20% of income earners now control around 60% of consumer spending, driven by the AI stock rally. AI has also become a dominant theme in credit markets, with AI-linked companies' share of investment-grade bond issuance rising from 2% in 2023 to 10% in 2026. Venture capital funding for AI companies reached a record $300 billion in the first quarter of 2026, with just four companies—OpenAI, Anthropic, xAI, and Waymo—absorbing two-thirds of the total. This self-reinforcing cycle could lead to a \"lengthy investment bust\" as the U.S. growth engine relies heavily on a narrow set of mutually reinforcing drivers. If AI investment slows, it could drag down other sectors, leading to a broader economic slowdown. The delay in the payoff of this AI bet, as many expect growth driven by AI to outpace infrastructure investments, could further exacerbate the situation. Despite the risks, the long-term potential of AI to reshape industries and boost productivity remains significant, with the possibility of reshaping the economy for the better if the current bubble bursts.",
  "summary": "Five decades of digital innovation delivered adoption without productivity. Ming Lu argues AI's payoff will follow the same slow path.",
  "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."
}