{
  "id": 9731489,
  "title": "AI infrastructure investment seen surging to $769 billion in 2026 amid growing safety concerns",
  "url": "https://urgent.news/2026/09/25/ai-infrastructure-investment-seen-surging-to-769-billion-in-2026-amid",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-25T07:58:11.000Z",
  "source": {
    "name": "Economic Times Tech",
    "slug": "economic-times-tech",
    "url": "https://economictimes.indiatimes.com/tech/artificial-intelligence/ai-infrastructure-investment-seen-surging-to-769-billion-in-2026-amid-growing-safety-concerns/articleshow/134479284.cms"
  },
  "original_language": "en",
  "account": "A new report from McKinsey projects that investment in AI infrastructure is set to soar to $769 billion by 2026, more than quintupling from the $145 billion spent in 2025. However, this rapid growth in funding has come alongside increasing concerns over the safety and pace of AI development.\n\nMajor players like OpenAI and Anthropic are seeking substantial new investments, with OpenAI reportedly in talks for funding that could push its valuation to $1.2 trillion and Anthropic potentially raising up to $100 billion for an IPO. Yet, industry leaders are calling for a slowdown in the release of new AI capabilities to allow more time to address safety risks.\n\nMcKinsey's outlook notes that AI infrastructure, including semiconductors, data centers and power systems, is receiving a significant portion of the investment surge. Energy technologies alone pulled in nearly $200 billion in 2025, while spending on AI infrastructure doubled year-over-year. But the report warns that the expansion could be constrained by shortages of energy, talent, capital, and cybersecurity risks, as well as the need to adapt legacy technology systems.\n\nWhile AI adoption is growing across enterprises, only a minority report positive financial impacts. McKinsey suggests that companies must move beyond experimentation and redesign their workflows to safely integrate AI agents. The \"agentic era\" will require addressing the operational and governance challenges of scaling AI capabilities.",
  "summary": "The estimate is based on nearly $384 billion invested in the first half of 2026 and assumes the current pace continues through the year. It compares with $145 billion invested in the technology in 2025, making AI infrastructure and model architectures the largest-funded technology trend covered by McKinsey.",
  "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."
}