{
  "id": 9118740,
  "title": "With $7 trillion on the line, AI safety may always take a backseat to market domination",
  "url": "https://urgent.news/2026/09/22/with-7-trillion-on-the-line-ai-safety-may-always-take-a-backseat-to",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-22T09:00:06.000Z",
  "source": {
    "name": "Axios",
    "slug": "axios",
    "url": "https://www.axios.com/2026/09/22/ai-safety-vs-ai-speed"
  },
  "original_language": "en",
  "account": "The intense competition to dominate artificial intelligence (AI) could become incompatible with the quest for ensuring AI safety, according to industry insiders quoted by Axios. Despite calls for more independent oversight, the colossal financial incentives to push AI forward will always outweigh safety considerations, critics argue. While AI companies and governments are proposing self-policing mechanisms and third-party evaluators, the intricate nature of AI systems and the widespread deployment of autonomous agents for various tasks make thorough auditing practically unfeasible. Trust is further eroded by concerns over the close relationships between industry insiders and evaluators, as well as a shared pool of investors in the AI research community. The push for rapid model improvement is proving more lucrative than the emphasis on safety. Companies like OpenAI and Anthropic, on the brink of public listings at multi-trillion-dollar valuations, face pressure to continuously roll out increasingly sophisticated models to justify their high valuations. Over $7 trillion is set to be invested in scaling AI over the next half-decade, with frontier labs required to recoup their investments by outpacing competitors, even if this entails limiting safety measures. This economic reality makes it increasingly difficult to reconcile the seemingly opposing goals of safety and swift model advancement. Some, like former OpenAI researcher Daniel Kokotajlo, believe AI cannot be safely scaled and argue that top AI companies should refrain from using their vast computational resources for model enhancement, suggesting a slowdown to avoid such a scenario. Kokotajlo, who departed from OpenAI in 2024 due to safety concerns, has been invited to speak to current employees about his research on AI safety. The conflicting internal debates within these companies highlight the profound struggle between pursuing profit and ensuring safety, with questions persisting on whether AI can be developed responsibly.",
  "summary": "The race for AI supremacy between labs, companies and countries may be impossible to reconcile with the push for AI safety, industry insiders tell Axios. Why it matters: The top AI companies are proposing more independent oversight as they seek to engineer an AI slowdown . But trillions of dollars in incentives to keep pushing the frontier — and the money required for such scaling — will always…",
  "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."
}